0s autopkgtest [12:35:51]: starting date and time: 2024-03-26 12:35:51+0000 0s autopkgtest [12:35:51]: git checkout: 4a1cd702 l/adt_testbed: don't blame the testbed for unsolvable build deps 0s autopkgtest [12:35:51]: host juju-7f2275-prod-proposed-migration-environment-4; command line: /home/ubuntu/autopkgtest/runner/autopkgtest --output-dir /tmp/autopkgtest-work.v5413xgk/out --timeout-copy=6000 --setup-commands 'dhclient || true; ln -s /dev/null /etc/systemd/system/bluetooth.service; printf "http_proxy=http://squid.internal:3128\nhttps_proxy=http://squid.internal:3128\nno_proxy=127.0.0.1,127.0.1.1,login.ubuntu.com,localhost,localdomain,novalocal,internal,archive.ubuntu.com,ports.ubuntu.com,security.ubuntu.com,ddebs.ubuntu.com,changelogs.ubuntu.com,launchpadlibrarian.net,launchpadcontent.net,launchpad.net,10.24.0.0/24,keystone.ps5.canonical.com,objectstorage.prodstack5.canonical.com\n" >> /etc/environment' --apt-pocket=proposed --apt-upgrade r-cran-rrcov --timeout-short=300 --timeout-copy=20000 --timeout-build=20000 --env=ADT_TEST_TRIGGERS=r-base/4.3.3-2build1 -- lxd -r lxd-armhf-10.145.243.179 lxd-armhf-10.145.243.179:autopkgtest/ubuntu/noble/armhf 25s autopkgtest [12:36:16]: testbed dpkg architecture: armhf 27s autopkgtest [12:36:18]: testbed apt version: 2.7.12 27s autopkgtest [12:36:18]: @@@@@@@@@@@@@@@@@@@@ test bed setup 35s Get:1 http://ftpmaster.internal/ubuntu noble-proposed InRelease [117 kB] 35s Get:2 http://ftpmaster.internal/ubuntu noble-proposed/universe Sources [4019 kB] 36s Get:3 http://ftpmaster.internal/ubuntu noble-proposed/multiverse Sources [56.0 kB] 36s Get:4 http://ftpmaster.internal/ubuntu noble-proposed/restricted Sources [8504 B] 36s Get:5 http://ftpmaster.internal/ubuntu noble-proposed/main Sources [496 kB] 36s Get:6 http://ftpmaster.internal/ubuntu noble-proposed/main armhf Packages [669 kB] 36s Get:7 http://ftpmaster.internal/ubuntu noble-proposed/main armhf c-n-f Metadata [2492 B] 36s Get:8 http://ftpmaster.internal/ubuntu noble-proposed/restricted armhf Packages [1372 B] 36s Get:9 http://ftpmaster.internal/ubuntu noble-proposed/restricted armhf c-n-f Metadata [116 B] 36s Get:10 http://ftpmaster.internal/ubuntu noble-proposed/universe armhf Packages [4075 kB] 36s Get:11 http://ftpmaster.internal/ubuntu noble-proposed/universe armhf c-n-f Metadata [7776 B] 36s Get:12 http://ftpmaster.internal/ubuntu noble-proposed/multiverse armhf Packages [49.1 kB] 36s Get:13 http://ftpmaster.internal/ubuntu noble-proposed/multiverse armhf c-n-f Metadata [116 B] 38s Fetched 9502 kB in 2s (4998 kB/s) 39s Reading package lists... 46s sh: 1: dhclient: not found 47s tee: /proc/self/fd/2: Permission denied 71s Hit:1 http://ftpmaster.internal/ubuntu noble-proposed InRelease 71s Hit:2 http://ftpmaster.internal/ubuntu noble InRelease 71s Hit:3 http://ftpmaster.internal/ubuntu noble-updates InRelease 71s Hit:4 http://ftpmaster.internal/ubuntu noble-security InRelease 72s Reading package lists... 72s Reading package lists... 72s Building dependency tree... 72s Reading state information... 73s Calculating upgrade... 74s The following packages were automatically installed and are no longer required: 74s linux-headers-6.8.0-11 python3-distutils python3-lib2to3 74s Use 'apt autoremove' to remove them. 74s The following packages will be REMOVED: 74s libapt-pkg6.0 libarchive13 libatm1 libcurl3-gnutls libcurl4 libdb5.3 libelf1 74s libext2fs2 libgdbm-compat4 libgdbm6 libglib2.0-0 libgnutls30 libgpgme11 74s libhogweed6 libmagic1 libnetplan0 libnettle8 libnpth0 libnvme1 libparted2 74s libpcap0.8 libperl5.38 libpng16-16 libpsl5 libreadline8 libreiserfscore0 74s libssl3 libtirpc3 libuv1 linux-headers-6.8.0-11-generic 74s The following NEW packages will be installed: 74s libapt-pkg6.0t64 libarchive13t64 libatm1t64 libcurl3t64-gnutls libcurl4t64 74s libdb5.3t64 libelf1t64 libext2fs2t64 libgdbm-compat4t64 libgdbm6t64 74s libglib2.0-0t64 libgnutls30t64 libgpgme11t64 libhogweed6t64 libmagic1t64 74s libnetplan1 libnettle8t64 libnpth0t64 libnvme1t64 libparted2t64 74s libpcap0.8t64 libperl5.38t64 libpng16-16t64 libpsl5t64 libreadline8t64 74s libreiserfscore0t64 libssl3t64 libtirpc3t64 libuv1t64 linux-headers-6.8.0-20 74s linux-headers-6.8.0-20-generic xdg-user-dirs 74s The following packages have been kept back: 74s multipath-tools 74s The following packages will be upgraded: 74s apparmor apt apt-utils base-files bind9-dnsutils bind9-host bind9-libs 74s binutils binutils-arm-linux-gnueabihf binutils-common bolt bsdextrautils 74s bsdutils btrfs-progs coreutils cryptsetup-bin curl dbus dbus-bin dbus-daemon 74s dbus-session-bus-common dbus-system-bus-common dbus-user-session dhcpcd-base 74s dirmngr dmsetup dpkg dpkg-dev e2fsprogs e2fsprogs-l10n eject fdisk file ftp 74s fwupd gawk gcc-13-base gcc-14-base gir1.2-girepository-2.0 gir1.2-glib-2.0 74s gnupg gnupg-l10n gnupg-utils gpg gpg-agent gpg-wks-client gpgconf gpgsm gpgv 74s groff-base ibverbs-providers inetutils-telnet info initramfs-tools 74s initramfs-tools-bin initramfs-tools-core install-info iproute2 jq keyboxd 74s kmod kpartx krb5-locales libapparmor1 libaudit-common libaudit1 libbinutils 74s libblkid1 libblockdev-crypto3 libblockdev-fs3 libblockdev-loop3 74s libblockdev-mdraid3 libblockdev-nvme3 libblockdev-part3 libblockdev-swap3 74s libblockdev-utils3 libblockdev3 libbpf1 libbrotli1 libcap-ng0 libcom-err2 74s libcryptsetup12 libctf-nobfd0 libctf0 libdbus-1-3 libdebconfclient0 74s libdevmapper1.02.1 libdpkg-perl libevent-core-2.1-7 libexpat1 libfdisk1 74s libfido2-1 libftdi1-2 libfwupd2 libgcc-s1 libgirepository-1.0-1 74s libglib2.0-data libgssapi-krb5-2 libgudev-1.0-0 libgusb2 libibverbs1 74s libjcat1 libjq1 libjson-glib-1.0-0 libjson-glib-1.0-common libk5crypto3 74s libkmod2 libkrb5-3 libkrb5support0 libldap-common libldap2 74s liblocale-gettext-perl liblzma5 libmagic-mgc libmbim-glib4 libmbim-proxy 74s libmm-glib0 libmount1 libnghttp2-14 libnsl2 libnss-systemd libpam-modules 74s libpam-modules-bin libpam-runtime libpam-systemd libpam0g libplymouth5 74s libpolkit-agent-1-0 libpolkit-gobject-1-0 libproc2-0 libprotobuf-c1 74s libpython3-stdlib libpython3.11-minimal libpython3.11-stdlib 74s libpython3.12-minimal libpython3.12-stdlib libqmi-glib5 libqmi-proxy 74s libqrtr-glib0 librtmp1 libsasl2-2 libsasl2-modules libsasl2-modules-db 74s libseccomp2 libselinux1 libsemanage-common libsemanage2 libsframe1 libslang2 74s libsmartcols1 libsqlite3-0 libss2 libssh-4 libstdc++6 libsystemd-shared 74s libsystemd0 libtext-charwidth-perl libtext-iconv-perl libtirpc-common 74s libudev1 libudisks2-0 libusb-1.0-0 libuuid1 libvolume-key1 libxml2 libxmlb2 74s libxmuu1 linux-headers-generic logsave lshw lsof man-db motd-news-config 74s mount mtr-tiny netplan-generator netplan.io openssh-client openssh-server 74s openssh-sftp-server openssl parted perl perl-base perl-modules-5.38 74s pinentry-curses plymouth plymouth-theme-ubuntu-text procps psmisc 74s python-apt-common python3 python3-apt python3-cryptography python3-dbus 74s python3-distutils python3-gdbm python3-gi python3-lib2to3 python3-minimal 74s python3-netplan python3-pkg-resources python3-pyrsistent python3-setuptools 74s python3-typing-extensions python3-yaml python3.11 python3.11-minimal 74s python3.12 python3.12-minimal readline-common rsync rsyslog shared-mime-info 74s sudo systemd systemd-dev systemd-resolved systemd-sysv systemd-timesyncd 74s tcpdump telnet tnftp ubuntu-pro-client ubuntu-pro-client-l10n udev udisks2 74s usb.ids util-linux uuid-runtime vim-common vim-tiny wget xxd xz-utils zlib1g 74s 236 upgraded, 32 newly installed, 30 to remove and 1 not upgraded. 74s Need to get 100 MB of archives. 74s After this operation, 85.0 MB of additional disk space will be used. 74s Get:1 http://ftpmaster.internal/ubuntu noble-proposed/main armhf motd-news-config all 13ubuntu8 [5098 B] 74s Get:2 http://ftpmaster.internal/ubuntu noble-proposed/main armhf base-files armhf 13ubuntu8 [73.9 kB] 74s Get:3 http://ftpmaster.internal/ubuntu noble-proposed/main armhf bsdutils armhf 1:2.39.3-9ubuntu2 [102 kB] 74s Get:4 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libbrotli1 armhf 1.1.0-2build1 [319 kB] 74s Get:5 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libgssapi-krb5-2 armhf 1.20.1-6ubuntu1 [119 kB] 74s Get:6 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libkrb5-3 armhf 1.20.1-6ubuntu1 [320 kB] 74s Get:7 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libkrb5support0 armhf 1.20.1-6ubuntu1 [31.5 kB] 74s Get:8 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libk5crypto3 armhf 1.20.1-6ubuntu1 [78.6 kB] 75s Get:9 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libcom-err2 armhf 1.47.0-2.4~exp1ubuntu2 [21.9 kB] 75s Get:10 http://ftpmaster.internal/ubuntu noble-proposed/main armhf zlib1g armhf 1:1.3.dfsg-3.1ubuntu1 [49.2 kB] 75s Get:11 http://ftpmaster.internal/ubuntu noble-proposed/main armhf librtmp1 armhf 2.4+20151223.gitfa8646d.1-2build6 [51.3 kB] 75s Get:12 http://ftpmaster.internal/ubuntu noble-proposed/main armhf udisks2 armhf 2.10.1-6 [276 kB] 75s Get:13 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libudisks2-0 armhf 2.10.1-6 [143 kB] 75s Get:14 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libblkid1 armhf 2.39.3-9ubuntu2 [160 kB] 75s Get:15 http://ftpmaster.internal/ubuntu noble-proposed/main armhf liblzma5 armhf 5.6.0-0.2 [117 kB] 75s Get:16 http://ftpmaster.internal/ubuntu noble-proposed/main armhf kmod armhf 31+20240202-2ubuntu4 [91.8 kB] 75s Get:17 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libkmod2 armhf 31+20240202-2ubuntu4 [44.9 kB] 75s Get:18 http://ftpmaster.internal/ubuntu noble-proposed/main armhf systemd-dev all 255.4-1ubuntu5 [103 kB] 75s Get:19 http://ftpmaster.internal/ubuntu noble-proposed/main armhf systemd-timesyncd armhf 255.4-1ubuntu5 [36.0 kB] 75s Get:20 http://ftpmaster.internal/ubuntu noble-proposed/main armhf dbus-session-bus-common all 1.14.10-4ubuntu2 [80.3 kB] 75s Get:21 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libaudit-common all 1:3.1.2-2.1 [5674 B] 75s Get:22 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libcap-ng0 armhf 0.8.4-2build1 [13.5 kB] 75s Get:23 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libaudit1 armhf 1:3.1.2-2.1 [44.3 kB] 75s Get:24 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libpam0g armhf 1.5.3-5ubuntu3 [62.0 kB] 75s Get:25 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libselinux1 armhf 3.5-2ubuntu1 [70.9 kB] 75s Get:26 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libcurl4t64 armhf 8.5.0-2ubuntu8 [296 kB] 75s Get:27 http://ftpmaster.internal/ubuntu noble-proposed/main armhf curl armhf 8.5.0-2ubuntu8 [219 kB] 75s Get:28 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libpsl5t64 armhf 0.21.2-1.1 [55.7 kB] 75s Get:29 http://ftpmaster.internal/ubuntu noble-proposed/main armhf wget armhf 1.21.4-1ubuntu2 [317 kB] 75s Get:30 http://ftpmaster.internal/ubuntu noble-proposed/main armhf tnftp armhf 20230507-2build1 [98.6 kB] 75s Get:31 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libpcap0.8t64 armhf 1.10.4-4.1ubuntu2 [137 kB] 75s Get:32 http://ftpmaster.internal/ubuntu noble-proposed/main armhf tcpdump armhf 4.99.4-3ubuntu2 [425 kB] 75s Get:33 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libsystemd-shared armhf 255.4-1ubuntu5 [2009 kB] 76s Get:34 http://ftpmaster.internal/ubuntu noble-proposed/main armhf systemd-resolved armhf 255.4-1ubuntu5 [289 kB] 76s Get:35 http://ftpmaster.internal/ubuntu noble-proposed/main armhf sudo armhf 1.9.15p5-3ubuntu3 [936 kB] 76s Get:36 http://ftpmaster.internal/ubuntu noble-proposed/main armhf rsync armhf 3.2.7-1build1 [413 kB] 76s Get:37 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python3-cryptography armhf 41.0.7-4build2 [788 kB] 76s Get:38 http://ftpmaster.internal/ubuntu noble-proposed/main armhf openssl armhf 3.0.13-0ubuntu2 [975 kB] 76s Get:39 http://ftpmaster.internal/ubuntu noble-proposed/main armhf openssh-sftp-server armhf 1:9.6p1-3ubuntu11 [35.5 kB] 76s Get:40 http://ftpmaster.internal/ubuntu noble-proposed/main armhf openssh-client armhf 1:9.6p1-3ubuntu11 [890 kB] 76s Get:41 http://ftpmaster.internal/ubuntu noble-proposed/main armhf openssh-server armhf 1:9.6p1-3ubuntu11 [503 kB] 76s Get:42 http://ftpmaster.internal/ubuntu noble-proposed/main armhf linux-headers-6.8.0-20 all 6.8.0-20.20 [13.6 MB] 77s Get:43 http://ftpmaster.internal/ubuntu noble-proposed/main armhf linux-headers-6.8.0-20-generic armhf 6.8.0-20.20 [1287 kB] 77s Get:44 http://ftpmaster.internal/ubuntu noble-proposed/main armhf linux-headers-generic armhf 6.8.0-20.20+1 [9610 B] 77s Get:45 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libssl3t64 armhf 3.0.13-0ubuntu2 [1558 kB] 77s Get:46 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libnss-systemd armhf 255.4-1ubuntu5 [148 kB] 77s Get:47 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libudev1 armhf 255.4-1ubuntu5 [166 kB] 77s Get:48 http://ftpmaster.internal/ubuntu noble-proposed/main armhf systemd armhf 255.4-1ubuntu5 [3502 kB] 78s Get:49 http://ftpmaster.internal/ubuntu noble-proposed/main armhf udev armhf 255.4-1ubuntu5 [1852 kB] 78s Get:50 http://ftpmaster.internal/ubuntu noble-proposed/main armhf systemd-sysv armhf 255.4-1ubuntu5 [11.9 kB] 78s Get:51 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libpam-systemd armhf 255.4-1ubuntu5 [216 kB] 78s Get:52 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libsystemd0 armhf 255.4-1ubuntu5 [410 kB] 78s Get:53 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libpam-modules-bin armhf 1.5.3-5ubuntu3 [47.0 kB] 78s Get:54 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libpam-modules armhf 1.5.3-5ubuntu3 [261 kB] 78s Get:55 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libpam-runtime all 1.5.3-5ubuntu3 [40.8 kB] 78s Get:56 http://ftpmaster.internal/ubuntu noble-proposed/main armhf dbus-user-session armhf 1.14.10-4ubuntu2 [9962 B] 78s Get:57 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libapparmor1 armhf 4.0.0-beta3-0ubuntu2 [45.0 kB] 78s Get:58 http://ftpmaster.internal/ubuntu noble-proposed/main armhf gcc-14-base armhf 14-20240315-1ubuntu1 [47.0 kB] 78s Get:59 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libgcc-s1 armhf 14-20240315-1ubuntu1 [41.5 kB] 78s Get:60 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libstdc++6 armhf 14-20240315-1ubuntu1 [714 kB] 78s Get:61 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libexpat1 armhf 2.6.1-2 [65.9 kB] 78s Get:62 http://ftpmaster.internal/ubuntu noble-proposed/main armhf dbus-system-bus-common all 1.14.10-4ubuntu2 [81.5 kB] 78s Get:63 http://ftpmaster.internal/ubuntu noble-proposed/main armhf dbus-bin armhf 1.14.10-4ubuntu2 [37.1 kB] 78s Get:64 http://ftpmaster.internal/ubuntu noble-proposed/main armhf dbus armhf 1.14.10-4ubuntu2 [28.1 kB] 78s Get:65 http://ftpmaster.internal/ubuntu noble-proposed/main armhf dbus-daemon armhf 1.14.10-4ubuntu2 [109 kB] 78s Get:66 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libdbus-1-3 armhf 1.14.10-4ubuntu2 [190 kB] 78s Get:67 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libmount1 armhf 2.39.3-9ubuntu2 [171 kB] 78s Get:68 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libseccomp2 armhf 2.5.5-1ubuntu2 [49.5 kB] 78s Get:69 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libdevmapper1.02.1 armhf 2:1.02.185-3ubuntu2 [135 kB] 78s Get:70 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libuuid1 armhf 2.39.3-9ubuntu2 [34.4 kB] 78s Get:71 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libcryptsetup12 armhf 2:2.7.0-1ubuntu2 [238 kB] 78s Get:72 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libfdisk1 armhf 2.39.3-9ubuntu2 [196 kB] 78s Get:73 http://ftpmaster.internal/ubuntu noble-proposed/main armhf mount armhf 2.39.3-9ubuntu2 [134 kB] 78s Get:74 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libblockdev-utils3 armhf 3.1.0-1build1 [16.9 kB] 78s Get:75 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libvolume-key1 armhf 0.3.12-7build1 [38.4 kB] 78s Get:76 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libjcat1 armhf 0.2.0-2build2 [30.4 kB] 78s Get:77 http://ftpmaster.internal/ubuntu noble-proposed/main armhf parted armhf 3.6-3.1build2 [39.4 kB] 78s Get:78 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libparted2t64 armhf 3.6-3.1build2 [143 kB] 78s Get:79 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python3.12 armhf 3.12.2-4build3 [645 kB] 78s Get:80 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python3.12-minimal armhf 3.12.2-4build3 [1942 kB] 78s Get:81 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libpython3.12-stdlib armhf 3.12.2-4build3 [1906 kB] 78s Get:82 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libpython3.12-minimal armhf 3.12.2-4build3 [816 kB] 78s Get:83 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libsasl2-modules-db armhf 2.1.28+dfsg1-5ubuntu1 [19.0 kB] 78s Get:84 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python3.11 armhf 3.11.8-1build4 [589 kB] 78s Get:85 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python3.11-minimal armhf 3.11.8-1build4 [1795 kB] 78s Get:86 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libpython3.11-stdlib armhf 3.11.8-1build4 [1810 kB] 78s Get:87 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libpython3.11-minimal armhf 3.11.8-1build4 [826 kB] 78s Get:88 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libsqlite3-0 armhf 3.45.1-1ubuntu1 [599 kB] 78s Get:89 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libtext-iconv-perl armhf 1.7-8build2 [12.7 kB] 78s Get:90 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libtext-charwidth-perl armhf 0.04-11build2 [8962 B] 78s Get:91 http://ftpmaster.internal/ubuntu noble-proposed/main armhf perl-modules-5.38 all 5.38.2-3.2 [3110 kB] 78s Get:92 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libdb5.3t64 armhf 5.3.28+dfsg2-6 [661 kB] 78s Get:93 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python3-gdbm armhf 3.12.2-3ubuntu1.1 [17.1 kB] 78s Get:94 http://ftpmaster.internal/ubuntu noble-proposed/main armhf man-db armhf 2.12.0-3build4 [1196 kB] 78s Get:95 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libgdbm6t64 armhf 1.23-5.1 [30.3 kB] 78s Get:96 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libgdbm-compat4t64 armhf 1.23-5.1 [6208 B] 78s Get:97 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libperl5.38t64 armhf 5.38.2-3.2 [4101 kB] 79s Get:98 http://ftpmaster.internal/ubuntu noble-proposed/main armhf perl armhf 5.38.2-3.2 [231 kB] 79s Get:99 http://ftpmaster.internal/ubuntu noble-proposed/main armhf perl-base armhf 5.38.2-3.2 [1671 kB] 79s Get:100 http://ftpmaster.internal/ubuntu noble-proposed/main armhf liblocale-gettext-perl armhf 1.07-6ubuntu4 [15.0 kB] 79s Get:101 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libnettle8t64 armhf 3.9.1-2.2 [187 kB] 79s Get:102 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libhogweed6t64 armhf 3.9.1-2.2 [187 kB] 79s Get:103 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libgnutls30t64 armhf 3.8.3-1.1ubuntu2 [1046 kB] 79s Get:104 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libldap2 armhf 2.6.7+dfsg-1~exp1ubuntu6 [172 kB] 79s Get:105 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libcurl3t64-gnutls armhf 8.5.0-2ubuntu8 [290 kB] 79s Get:106 http://ftpmaster.internal/ubuntu noble-proposed/main armhf shared-mime-info armhf 2.4-1build1 [470 kB] 79s Get:107 http://ftpmaster.internal/ubuntu noble-proposed/main armhf gir1.2-girepository-2.0 armhf 1.79.1-1ubuntu6 [24.8 kB] 79s Get:108 http://ftpmaster.internal/ubuntu noble-proposed/main armhf gir1.2-glib-2.0 armhf 2.79.3-3ubuntu5 [182 kB] 79s Get:109 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libgirepository-1.0-1 armhf 1.79.1-1ubuntu6 [106 kB] 79s Get:110 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python3-gi armhf 3.47.0-3build1 [219 kB] 79s Get:111 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python3-dbus armhf 1.3.2-5build2 [94.7 kB] 79s Get:112 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libnetplan1 armhf 1.0-1 [113 kB] 79s Get:113 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python3-netplan armhf 1.0-1 [22.5 kB] 79s Get:114 http://ftpmaster.internal/ubuntu noble-proposed/main armhf netplan-generator armhf 1.0-1 [58.7 kB] 79s Get:115 http://ftpmaster.internal/ubuntu noble-proposed/main armhf initramfs-tools-bin armhf 0.142ubuntu23 [20.3 kB] 79s Get:116 http://ftpmaster.internal/ubuntu noble-proposed/main armhf initramfs-tools-core all 0.142ubuntu23 [50.1 kB] 79s Get:117 http://ftpmaster.internal/ubuntu noble-proposed/main armhf initramfs-tools all 0.142ubuntu23 [9058 B] 79s Get:118 http://ftpmaster.internal/ubuntu noble-proposed/main armhf netplan.io armhf 1.0-1 [64.3 kB] 79s Get:119 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libxmlb2 armhf 0.3.15-1build1 [57.0 kB] 79s Get:120 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libqrtr-glib0 armhf 1.2.2-1ubuntu3 [15.4 kB] 79s Get:121 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libqmi-glib5 armhf 1.35.2-0ubuntu1 [908 kB] 79s Get:122 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libqmi-proxy armhf 1.35.2-0ubuntu1 [5732 B] 79s Get:123 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libpolkit-agent-1-0 armhf 124-1ubuntu1 [15.3 kB] 79s Get:124 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libpolkit-gobject-1-0 armhf 124-1ubuntu1 [44.1 kB] 79s Get:125 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libglib2.0-0t64 armhf 2.79.3-3ubuntu5 [1414 kB] 79s Get:126 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libfwupd2 armhf 1.9.15-2 [123 kB] 79s Get:127 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libarchive13t64 armhf 3.7.2-1.1ubuntu2 [330 kB] 79s Get:128 http://ftpmaster.internal/ubuntu noble-proposed/main armhf fwupd armhf 1.9.15-2 [4350 kB] 80s Get:129 http://ftpmaster.internal/ubuntu noble-proposed/main armhf apt-utils armhf 2.7.14 [210 kB] 80s Get:130 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libapt-pkg6.0t64 armhf 2.7.14 [986 kB] 80s Get:131 http://ftpmaster.internal/ubuntu noble-proposed/main armhf apt armhf 2.7.14 [1368 kB] 80s Get:132 http://ftpmaster.internal/ubuntu noble-proposed/main armhf ubuntu-pro-client-l10n armhf 31.2.2 [19.4 kB] 80s Get:133 http://ftpmaster.internal/ubuntu noble-proposed/main armhf ubuntu-pro-client armhf 31.2.2 [216 kB] 80s Get:134 http://ftpmaster.internal/ubuntu noble-proposed/main armhf keyboxd armhf 2.4.4-2ubuntu15 [111 kB] 80s Get:135 http://ftpmaster.internal/ubuntu noble/main armhf libnpth0t64 armhf 1.6-3.1 [6940 B] 80s Get:136 http://ftpmaster.internal/ubuntu noble-proposed/main armhf gpgv armhf 2.4.4-2ubuntu15 [224 kB] 80s Get:137 http://ftpmaster.internal/ubuntu noble-proposed/main armhf gpg armhf 2.4.4-2ubuntu15 [524 kB] 80s Get:138 http://ftpmaster.internal/ubuntu noble-proposed/main armhf gpg-wks-client armhf 2.4.4-2ubuntu15 [87.4 kB] 80s Get:139 http://ftpmaster.internal/ubuntu noble-proposed/main armhf gnupg-utils armhf 2.4.4-2ubuntu15 [158 kB] 80s Get:140 http://ftpmaster.internal/ubuntu noble-proposed/main armhf gpg-agent armhf 2.4.4-2ubuntu15 [235 kB] 80s Get:141 http://ftpmaster.internal/ubuntu noble-proposed/main armhf gpgsm armhf 2.4.4-2ubuntu15 [241 kB] 80s Get:142 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libreadline8t64 armhf 8.2-4 [129 kB] 80s Get:143 http://ftpmaster.internal/ubuntu noble-proposed/main armhf gawk armhf 1:5.2.1-2build2 [415 kB] 80s Get:144 http://ftpmaster.internal/ubuntu noble-proposed/main armhf fdisk armhf 2.39.3-9ubuntu2 [135 kB] 80s Get:145 http://ftpmaster.internal/ubuntu noble-proposed/main armhf gpgconf armhf 2.4.4-2ubuntu15 [115 kB] 80s Get:146 http://ftpmaster.internal/ubuntu noble-proposed/main armhf dirmngr armhf 2.4.4-2ubuntu15 [346 kB] 80s Get:147 http://ftpmaster.internal/ubuntu noble-proposed/main armhf gnupg all 2.4.4-2ubuntu15 [359 kB] 80s Get:148 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python3-apt armhf 2.7.7 [162 kB] 80s Get:149 http://ftpmaster.internal/ubuntu noble-proposed/main armhf pinentry-curses armhf 1.2.1-3ubuntu4 [36.7 kB] 80s Get:150 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python3-yaml armhf 6.0.1-2build1 [117 kB] 80s Get:151 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python-apt-common all 2.7.7 [19.8 kB] 80s Get:152 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python3-setuptools all 68.1.2-2ubuntu1 [396 kB] 80s Get:153 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python3-pkg-resources all 68.1.2-2ubuntu1 [168 kB] 80s Get:154 http://ftpmaster.internal/ubuntu noble-proposed/main armhf dpkg armhf 1.22.6ubuntu4 [1229 kB] 80s Get:155 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python3-minimal armhf 3.12.2-0ubuntu1 [27.1 kB] 80s Get:156 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python3 armhf 3.12.2-0ubuntu1 [24.1 kB] 80s Get:157 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libpython3-stdlib armhf 3.12.2-0ubuntu1 [9802 B] 80s Get:158 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libsmartcols1 armhf 2.39.3-9ubuntu2 [117 kB] 80s Get:159 http://ftpmaster.internal/ubuntu noble-proposed/main armhf bsdextrautils armhf 2.39.3-9ubuntu2 [78.7 kB] 80s Get:160 http://ftpmaster.internal/ubuntu noble-proposed/main armhf groff-base armhf 1.23.0-3build1 [946 kB] 80s Get:161 http://ftpmaster.internal/ubuntu noble-proposed/main armhf readline-common all 8.2-4 [56.4 kB] 80s Get:162 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libgpgme11t64 armhf 1.18.0-4.1ubuntu3 [120 kB] 80s Get:163 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libblockdev-crypto3 armhf 3.1.0-1build1 [20.3 kB] 80s Get:164 http://ftpmaster.internal/ubuntu noble-proposed/main armhf e2fsprogs-l10n all 1.47.0-2.4~exp1ubuntu2 [5996 B] 80s Get:165 http://ftpmaster.internal/ubuntu noble-proposed/main armhf logsave armhf 1.47.0-2.4~exp1ubuntu2 [21.9 kB] 80s Get:166 http://ftpmaster.internal/ubuntu noble-proposed/main armhf dhcpcd-base armhf 1:10.0.6-1ubuntu2 [186 kB] 80s Get:167 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libblockdev-fs3 armhf 3.1.0-1build1 [34.4 kB] 80s Get:168 http://ftpmaster.internal/ubuntu noble/main armhf libreiserfscore0t64 armhf 1:3.6.27-7.1 [66.2 kB] 80s Get:169 http://ftpmaster.internal/ubuntu noble-proposed/main armhf btrfs-progs armhf 6.6.3-1.1build1 [852 kB] 80s Get:170 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libext2fs2t64 armhf 1.47.0-2.4~exp1ubuntu2 [201 kB] 80s Get:171 http://ftpmaster.internal/ubuntu noble-proposed/main armhf e2fsprogs armhf 1.47.0-2.4~exp1ubuntu2 [571 kB] 80s Get:172 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libblockdev-loop3 armhf 3.1.0-1build1 [6502 B] 80s Get:173 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libblockdev-mdraid3 armhf 3.1.0-1build1 [13.3 kB] 80s Get:174 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libblockdev-nvme3 armhf 3.1.0-1build1 [17.5 kB] 80s Get:175 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libnvme1t64 armhf 1.8-3 [67.5 kB] 80s Get:176 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libblockdev-part3 armhf 3.1.0-1build1 [16.4 kB] 80s Get:177 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libblockdev-swap3 armhf 3.1.0-1build1 [8894 B] 80s Get:178 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libblockdev3 armhf 3.1.0-1build1 [42.9 kB] 80s Get:179 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libgudev-1.0-0 armhf 1:238-3ubuntu2 [13.6 kB] 80s Get:180 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libxml2 armhf 2.9.14+dfsg-1.3ubuntu2 [595 kB] 80s Get:181 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libbpf1 armhf 1:1.3.0-2build1 [146 kB] 80s Get:182 http://ftpmaster.internal/ubuntu noble-proposed/main armhf iproute2 armhf 6.1.0-1ubuntu5 [1060 kB] 80s Get:183 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libelf1t64 armhf 0.190-1.1build2 [49.9 kB] 80s Get:184 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libtirpc-common all 1.3.4+ds-1.1 [8018 B] 80s Get:185 http://ftpmaster.internal/ubuntu noble-proposed/main armhf lsof armhf 4.95.0-1build2 [248 kB] 80s Get:186 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libnsl2 armhf 1.3.0-3build2 [36.5 kB] 80s Get:187 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libtirpc3t64 armhf 1.3.4+ds-1.1 [73.2 kB] 80s Get:188 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libmbim-proxy armhf 1.31.2-0ubuntu2 [5748 B] 80s Get:189 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libmbim-glib4 armhf 1.31.2-0ubuntu2 [216 kB] 80s Get:190 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libjson-glib-1.0-common all 1.8.0-2build1 [4210 B] 80s Get:191 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libjson-glib-1.0-0 armhf 1.8.0-2build1 [61.2 kB] 80s Get:192 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libnghttp2-14 armhf 1.59.0-1build1 [68.1 kB] 80s Get:193 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libssh-4 armhf 0.10.6-2build1 [169 kB] 80s Get:194 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libusb-1.0-0 armhf 2:1.0.27-1 [48.7 kB] 80s Get:195 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libgusb2 armhf 0.4.8-1build1 [34.6 kB] 80s Get:196 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libmm-glib0 armhf 1.23.4-0ubuntu1 [214 kB] 81s Get:197 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libprotobuf-c1 armhf 1.4.1-1ubuntu3 [17.7 kB] 81s Get:198 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libsasl2-2 armhf 2.1.28+dfsg1-5ubuntu1 [49.7 kB] 81s Get:199 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libibverbs1 armhf 50.0-2build1 [57.9 kB] 81s Get:200 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libfido2-1 armhf 1.14.0-1build1 [75.8 kB] 81s Get:201 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libproc2-0 armhf 2:4.0.4-4ubuntu2 [49.0 kB] 81s Get:202 http://ftpmaster.internal/ubuntu noble-proposed/main armhf procps armhf 2:4.0.4-4ubuntu2 [700 kB] 81s Get:203 http://ftpmaster.internal/ubuntu noble-proposed/main armhf coreutils armhf 9.4-3ubuntu3 [1280 kB] 81s Get:204 http://ftpmaster.internal/ubuntu noble-proposed/main armhf util-linux armhf 2.39.3-9ubuntu2 [1216 kB] 81s Get:205 http://ftpmaster.internal/ubuntu noble-proposed/main armhf file armhf 1:5.45-3 [21.1 kB] 81s Get:206 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libmagic-mgc armhf 1:5.45-3 [307 kB] 81s Get:207 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libmagic1t64 armhf 1:5.45-3 [81.4 kB] 81s Get:208 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libplymouth5 armhf 24.004.60-1ubuntu6 [140 kB] 81s Get:209 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libpng16-16t64 armhf 1.6.43-3 [166 kB] 81s Get:210 http://ftpmaster.internal/ubuntu noble-proposed/main armhf bind9-host armhf 1:9.18.24-0ubuntu3 [47.4 kB] 81s Get:211 http://ftpmaster.internal/ubuntu noble-proposed/main armhf bind9-dnsutils armhf 1:9.18.24-0ubuntu3 [149 kB] 81s Get:212 http://ftpmaster.internal/ubuntu noble-proposed/main armhf bind9-libs armhf 1:9.18.24-0ubuntu3 [1148 kB] 81s Get:213 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libuv1t64 armhf 1.48.0-1.1 [82.9 kB] 81s Get:214 http://ftpmaster.internal/ubuntu noble-proposed/main armhf uuid-runtime armhf 2.39.3-9ubuntu2 [41.7 kB] 81s Get:215 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libdebconfclient0 armhf 0.271ubuntu2 [10.8 kB] 81s Get:216 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libsemanage-common all 3.5-1build4 [10.1 kB] 81s Get:217 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libsemanage2 armhf 3.5-1build4 [84.5 kB] 81s Get:218 http://ftpmaster.internal/ubuntu noble-proposed/main armhf install-info armhf 7.1-3build1 [60.5 kB] 81s Get:219 http://ftpmaster.internal/ubuntu noble-proposed/main armhf gcc-13-base armhf 13.2.0-21ubuntu1 [48.3 kB] 81s Get:220 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libss2 armhf 1.47.0-2.4~exp1ubuntu2 [14.7 kB] 81s Get:221 http://ftpmaster.internal/ubuntu noble-proposed/main armhf dmsetup armhf 2:1.02.185-3ubuntu2 [81.1 kB] 82s Get:222 http://ftpmaster.internal/ubuntu noble-proposed/main armhf eject armhf 2.39.3-9ubuntu2 [43.2 kB] 82s Get:223 http://ftpmaster.internal/ubuntu noble-proposed/main armhf krb5-locales all 1.20.1-6ubuntu1 [13.8 kB] 82s Get:224 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libglib2.0-data all 2.79.3-3ubuntu5 [46.6 kB] 82s Get:225 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libslang2 armhf 2.3.3-3build1 [478 kB] 82s Get:226 http://ftpmaster.internal/ubuntu noble-proposed/main armhf rsyslog armhf 8.2312.0-3ubuntu7 [460 kB] 82s Get:227 http://ftpmaster.internal/ubuntu noble-proposed/main armhf vim-tiny armhf 2:9.1.0016-1ubuntu6 [665 kB] 82s Get:228 http://ftpmaster.internal/ubuntu noble-proposed/main armhf vim-common all 2:9.1.0016-1ubuntu6 [385 kB] 82s Get:229 http://ftpmaster.internal/ubuntu noble/main armhf xdg-user-dirs armhf 0.18-1 [17.3 kB] 82s Get:230 http://ftpmaster.internal/ubuntu noble-proposed/main armhf xxd armhf 2:9.1.0016-1ubuntu6 [62.5 kB] 82s Get:231 http://ftpmaster.internal/ubuntu noble-proposed/main armhf apparmor armhf 4.0.0-beta3-0ubuntu2 [562 kB] 82s Get:232 http://ftpmaster.internal/ubuntu noble-proposed/main armhf ftp all 20230507-2build1 [4724 B] 82s Get:233 http://ftpmaster.internal/ubuntu noble-proposed/main armhf inetutils-telnet armhf 2:2.5-3ubuntu3 [90.7 kB] 82s Get:234 http://ftpmaster.internal/ubuntu noble-proposed/main armhf info armhf 7.1-3build1 [127 kB] 82s Get:235 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libxmuu1 armhf 2:1.1.3-3build1 [8004 B] 82s Get:236 http://ftpmaster.internal/ubuntu noble-proposed/main armhf lshw armhf 02.19.git.2021.06.19.996aaad9c7-2build2 [310 kB] 82s Get:237 http://ftpmaster.internal/ubuntu noble-proposed/main armhf mtr-tiny armhf 0.95-1.1build1 [51.7 kB] 82s Get:238 http://ftpmaster.internal/ubuntu noble-proposed/main armhf plymouth-theme-ubuntu-text armhf 24.004.60-1ubuntu6 [9818 B] 82s Get:239 http://ftpmaster.internal/ubuntu noble-proposed/main armhf plymouth armhf 24.004.60-1ubuntu6 [142 kB] 82s Get:240 http://ftpmaster.internal/ubuntu noble-proposed/main armhf psmisc armhf 23.7-1 [176 kB] 82s Get:241 http://ftpmaster.internal/ubuntu noble-proposed/main armhf telnet all 0.17+2.5-3ubuntu3 [3682 B] 82s Get:242 http://ftpmaster.internal/ubuntu noble-proposed/main armhf usb.ids all 2024.03.18-1 [223 kB] 82s Get:243 http://ftpmaster.internal/ubuntu noble-proposed/main armhf xz-utils armhf 5.6.0-0.2 [271 kB] 82s Get:244 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libctf0 armhf 2.42-4ubuntu1 [87.7 kB] 82s Get:245 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libctf-nobfd0 armhf 2.42-4ubuntu1 [88.0 kB] 82s Get:246 http://ftpmaster.internal/ubuntu noble-proposed/main armhf binutils-arm-linux-gnueabihf armhf 2.42-4ubuntu1 [2925 kB] 82s Get:247 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libbinutils armhf 2.42-4ubuntu1 [464 kB] 82s Get:248 http://ftpmaster.internal/ubuntu noble-proposed/main armhf binutils armhf 2.42-4ubuntu1 [3078 B] 82s Get:249 http://ftpmaster.internal/ubuntu noble-proposed/main armhf binutils-common armhf 2.42-4ubuntu1 [217 kB] 82s Get:250 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libsframe1 armhf 2.42-4ubuntu1 [13.1 kB] 82s Get:251 http://ftpmaster.internal/ubuntu noble-proposed/main armhf bolt armhf 0.9.6-2build1 [138 kB] 82s Get:252 http://ftpmaster.internal/ubuntu noble-proposed/main armhf cryptsetup-bin armhf 2:2.7.0-1ubuntu2 [214 kB] 82s Get:253 http://ftpmaster.internal/ubuntu noble-proposed/main armhf dpkg-dev all 1.22.6ubuntu4 [1074 kB] 82s Get:254 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libdpkg-perl all 1.22.6ubuntu4 [268 kB] 82s Get:255 http://ftpmaster.internal/ubuntu noble-proposed/main armhf gnupg-l10n all 2.4.4-2ubuntu15 [65.8 kB] 82s Get:256 http://ftpmaster.internal/ubuntu noble-proposed/main armhf ibverbs-providers armhf 50.0-2build1 [27.4 kB] 82s Get:257 http://ftpmaster.internal/ubuntu noble-proposed/main armhf jq armhf 1.7.1-3 [65.2 kB] 82s Get:258 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libjq1 armhf 1.7.1-3 [156 kB] 82s Get:259 http://ftpmaster.internal/ubuntu noble/main armhf libatm1t64 armhf 1:2.5.1-5.1 [20.0 kB] 82s Get:260 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libevent-core-2.1-7 armhf 2.1.12-stable-9build1 [82.3 kB] 82s Get:261 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libftdi1-2 armhf 1.5-6build4 [25.7 kB] 82s Get:262 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libldap-common all 2.6.7+dfsg-1~exp1ubuntu6 [31.3 kB] 82s Get:263 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libsasl2-modules armhf 2.1.28+dfsg1-5ubuntu1 [61.3 kB] 82s Get:264 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python3-distutils all 3.12.2-3ubuntu1.1 [133 kB] 82s Get:265 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python3-lib2to3 all 3.12.2-3ubuntu1.1 [79.1 kB] 82s Get:266 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python3-pyrsistent armhf 0.20.0-1build1 [53.0 kB] 82s Get:267 http://ftpmaster.internal/ubuntu noble-proposed/main armhf python3-typing-extensions all 4.10.0-1 [60.7 kB] 82s Get:268 http://ftpmaster.internal/ubuntu noble-proposed/main armhf kpartx armhf 0.9.4-5ubuntu6 [31.5 kB] 83s Preconfiguring packages ... 83s Fetched 100 MB in 8s (11.9 MB/s) 83s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 58619 files and directories currently installed.) 83s Preparing to unpack .../motd-news-config_13ubuntu8_all.deb ... 83s Unpacking motd-news-config (13ubuntu8) over (13ubuntu7) ... 83s Preparing to unpack .../base-files_13ubuntu8_armhf.deb ... 83s Unpacking base-files (13ubuntu8) over (13ubuntu7) ... 83s Setting up base-files (13ubuntu8) ... 84s motd-news.service is a disabled or a static unit not running, not starting it. 84s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 58619 files and directories currently installed.) 84s Preparing to unpack .../bsdutils_1%3a2.39.3-9ubuntu2_armhf.deb ... 84s Unpacking bsdutils (1:2.39.3-9ubuntu2) over (1:2.39.3-6ubuntu2) ... 84s Setting up bsdutils (1:2.39.3-9ubuntu2) ... 84s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 58619 files and directories currently installed.) 84s Preparing to unpack .../0-libbrotli1_1.1.0-2build1_armhf.deb ... 84s Unpacking libbrotli1:armhf (1.1.0-2build1) over (1.1.0-2) ... 84s Preparing to unpack .../1-libgssapi-krb5-2_1.20.1-6ubuntu1_armhf.deb ... 84s Unpacking libgssapi-krb5-2:armhf (1.20.1-6ubuntu1) over (1.20.1-5build1) ... 84s Preparing to unpack .../2-libkrb5-3_1.20.1-6ubuntu1_armhf.deb ... 84s Unpacking libkrb5-3:armhf (1.20.1-6ubuntu1) over (1.20.1-5build1) ... 84s Preparing to unpack .../3-libkrb5support0_1.20.1-6ubuntu1_armhf.deb ... 84s Unpacking libkrb5support0:armhf (1.20.1-6ubuntu1) over (1.20.1-5build1) ... 84s Preparing to unpack .../4-libk5crypto3_1.20.1-6ubuntu1_armhf.deb ... 84s Unpacking libk5crypto3:armhf (1.20.1-6ubuntu1) over (1.20.1-5build1) ... 84s Preparing to unpack .../5-libcom-err2_1.47.0-2.4~exp1ubuntu2_armhf.deb ... 84s Unpacking libcom-err2:armhf (1.47.0-2.4~exp1ubuntu2) over (1.47.0-2ubuntu1) ... 84s Preparing to unpack .../6-zlib1g_1%3a1.3.dfsg-3.1ubuntu1_armhf.deb ... 84s Unpacking zlib1g:armhf (1:1.3.dfsg-3.1ubuntu1) over (1:1.3.dfsg-3ubuntu1) ... 84s Setting up zlib1g:armhf (1:1.3.dfsg-3.1ubuntu1) ... 84s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 58619 files and directories currently installed.) 84s Preparing to unpack .../librtmp1_2.4+20151223.gitfa8646d.1-2build6_armhf.deb ... 84s Unpacking librtmp1:armhf (2.4+20151223.gitfa8646d.1-2build6) over (2.4+20151223.gitfa8646d.1-2build4) ... 85s Preparing to unpack .../udisks2_2.10.1-6_armhf.deb ... 85s Unpacking udisks2 (2.10.1-6) over (2.10.1-1ubuntu2) ... 85s Preparing to unpack .../libudisks2-0_2.10.1-6_armhf.deb ... 85s Unpacking libudisks2-0:armhf (2.10.1-6) over (2.10.1-1ubuntu2) ... 85s Preparing to unpack .../libblkid1_2.39.3-9ubuntu2_armhf.deb ... 85s Unpacking libblkid1:armhf (2.39.3-9ubuntu2) over (2.39.3-6ubuntu2) ... 85s Setting up libblkid1:armhf (2.39.3-9ubuntu2) ... 85s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 58619 files and directories currently installed.) 85s Preparing to unpack .../liblzma5_5.6.0-0.2_armhf.deb ... 85s Unpacking liblzma5:armhf (5.6.0-0.2) over (5.4.5-0.3) ... 85s Setting up liblzma5:armhf (5.6.0-0.2) ... 85s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 58619 files and directories currently installed.) 85s Preparing to unpack .../0-kmod_31+20240202-2ubuntu4_armhf.deb ... 85s Unpacking kmod (31+20240202-2ubuntu4) over (30+20230601-2ubuntu1) ... 85s dpkg: warning: unable to delete old directory '/lib/modprobe.d': Directory not empty 85s Preparing to unpack .../1-libkmod2_31+20240202-2ubuntu4_armhf.deb ... 85s Unpacking libkmod2:armhf (31+20240202-2ubuntu4) over (30+20230601-2ubuntu1) ... 85s Preparing to unpack .../2-systemd-dev_255.4-1ubuntu5_all.deb ... 85s Unpacking systemd-dev (255.4-1ubuntu5) over (255.2-3ubuntu2) ... 85s Preparing to unpack .../3-systemd-timesyncd_255.4-1ubuntu5_armhf.deb ... 85s Unpacking systemd-timesyncd (255.4-1ubuntu5) over (255.2-3ubuntu2) ... 85s Preparing to unpack .../4-dbus-session-bus-common_1.14.10-4ubuntu2_all.deb ... 85s Unpacking dbus-session-bus-common (1.14.10-4ubuntu2) over (1.14.10-4ubuntu1) ... 85s Preparing to unpack .../5-libaudit-common_1%3a3.1.2-2.1_all.deb ... 85s Unpacking libaudit-common (1:3.1.2-2.1) over (1:3.1.2-2) ... 85s Setting up libaudit-common (1:3.1.2-2.1) ... 85s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 58618 files and directories currently installed.) 85s Preparing to unpack .../libcap-ng0_0.8.4-2build1_armhf.deb ... 85s Unpacking libcap-ng0:armhf (0.8.4-2build1) over (0.8.4-2) ... 85s Setting up libcap-ng0:armhf (0.8.4-2build1) ... 85s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 58618 files and directories currently installed.) 85s Preparing to unpack .../libaudit1_1%3a3.1.2-2.1_armhf.deb ... 85s Unpacking libaudit1:armhf (1:3.1.2-2.1) over (1:3.1.2-2) ... 85s Setting up libaudit1:armhf (1:3.1.2-2.1) ... 85s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 58618 files and directories currently installed.) 85s Preparing to unpack .../libpam0g_1.5.3-5ubuntu3_armhf.deb ... 85s Unpacking libpam0g:armhf (1.5.3-5ubuntu3) over (1.5.2-9.1ubuntu3) ... 85s Setting up libpam0g:armhf (1.5.3-5ubuntu3) ... 85s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 58618 files and directories currently installed.) 85s Preparing to unpack .../libselinux1_3.5-2ubuntu1_armhf.deb ... 85s Unpacking libselinux1:armhf (3.5-2ubuntu1) over (3.5-2build1) ... 85s Setting up libselinux1:armhf (3.5-2ubuntu1) ... 85s dpkg: libcurl4:armhf: dependency problems, but removing anyway as you requested: 85s curl depends on libcurl4 (= 8.5.0-2ubuntu2). 85s 85s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 58618 files and directories currently installed.) 85s Removing libcurl4:armhf (8.5.0-2ubuntu2) ... 85s Selecting previously unselected package libcurl4t64:armhf. 86s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 58613 files and directories currently installed.) 86s Preparing to unpack .../libcurl4t64_8.5.0-2ubuntu8_armhf.deb ... 86s Unpacking libcurl4t64:armhf (8.5.0-2ubuntu8) ... 86s Preparing to unpack .../curl_8.5.0-2ubuntu8_armhf.deb ... 86s Unpacking curl (8.5.0-2ubuntu8) over (8.5.0-2ubuntu2) ... 86s dpkg: libpsl5:armhf: dependency problems, but removing anyway as you requested: 86s wget depends on libpsl5 (>= 0.16.0). 86s libcurl3-gnutls:armhf depends on libpsl5 (>= 0.16.0). 86s 86s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 58619 files and directories currently installed.) 86s Removing libpsl5:armhf (0.21.2-1build1) ... 86s Selecting previously unselected package libpsl5t64:armhf. 86s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 58614 files and directories currently installed.) 86s Preparing to unpack .../libpsl5t64_0.21.2-1.1_armhf.deb ... 86s Unpacking libpsl5t64:armhf (0.21.2-1.1) ... 86s Preparing to unpack .../wget_1.21.4-1ubuntu2_armhf.deb ... 86s Unpacking wget (1.21.4-1ubuntu2) over (1.21.4-1ubuntu1) ... 86s Preparing to unpack .../tnftp_20230507-2build1_armhf.deb ... 86s Unpacking tnftp (20230507-2build1) over (20230507-2) ... 86s dpkg: libpcap0.8:armhf: dependency problems, but removing anyway as you requested: 86s tcpdump depends on libpcap0.8 (>= 1.9.1). 86s 86s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 58620 files and directories currently installed.) 86s Removing libpcap0.8:armhf (1.10.4-4ubuntu3) ... 86s Selecting previously unselected package libpcap0.8t64:armhf. 86s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 58609 files and directories currently installed.) 86s Preparing to unpack .../00-libpcap0.8t64_1.10.4-4.1ubuntu2_armhf.deb ... 86s Unpacking libpcap0.8t64:armhf (1.10.4-4.1ubuntu2) ... 86s Preparing to unpack .../01-tcpdump_4.99.4-3ubuntu2_armhf.deb ... 86s Unpacking tcpdump (4.99.4-3ubuntu2) over (4.99.4-3ubuntu1) ... 86s Preparing to unpack .../02-libsystemd-shared_255.4-1ubuntu5_armhf.deb ... 86s Unpacking libsystemd-shared:armhf (255.4-1ubuntu5) over (255.2-3ubuntu2) ... 86s Preparing to unpack .../03-systemd-resolved_255.4-1ubuntu5_armhf.deb ... 86s Unpacking systemd-resolved (255.4-1ubuntu5) over (255.2-3ubuntu2) ... 86s Preparing to unpack .../04-sudo_1.9.15p5-3ubuntu3_armhf.deb ... 86s Unpacking sudo (1.9.15p5-3ubuntu3) over (1.9.15p5-3ubuntu1) ... 86s Preparing to unpack .../05-rsync_3.2.7-1build1_armhf.deb ... 86s Unpacking rsync (3.2.7-1build1) over (3.2.7-1) ... 86s Preparing to unpack .../06-python3-cryptography_41.0.7-4build2_armhf.deb ... 86s Unpacking python3-cryptography (41.0.7-4build2) over (41.0.7-3) ... 86s Preparing to unpack .../07-openssl_3.0.13-0ubuntu2_armhf.deb ... 86s Unpacking openssl (3.0.13-0ubuntu2) over (3.0.10-1ubuntu4) ... 86s Preparing to unpack .../08-openssh-sftp-server_1%3a9.6p1-3ubuntu11_armhf.deb ... 86s Unpacking openssh-sftp-server (1:9.6p1-3ubuntu11) over (1:9.6p1-3ubuntu2) ... 86s Preparing to unpack .../09-openssh-client_1%3a9.6p1-3ubuntu11_armhf.deb ... 86s Unpacking openssh-client (1:9.6p1-3ubuntu11) over (1:9.6p1-3ubuntu2) ... 87s Preparing to unpack .../10-openssh-server_1%3a9.6p1-3ubuntu11_armhf.deb ... 87s Unpacking openssh-server (1:9.6p1-3ubuntu11) over (1:9.6p1-3ubuntu2) ... 87s Selecting previously unselected package linux-headers-6.8.0-20. 87s Preparing to unpack .../11-linux-headers-6.8.0-20_6.8.0-20.20_all.deb ... 87s Unpacking linux-headers-6.8.0-20 (6.8.0-20.20) ... 90s Selecting previously unselected package linux-headers-6.8.0-20-generic. 90s Preparing to unpack .../12-linux-headers-6.8.0-20-generic_6.8.0-20.20_armhf.deb ... 90s Unpacking linux-headers-6.8.0-20-generic (6.8.0-20.20) ... 124s Preparing to unpack .../13-linux-headers-generic_6.8.0-20.20+1_armhf.deb ... 124s Unpacking linux-headers-generic (6.8.0-20.20+1) over (6.8.0-11.11+1) ... 124s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 89772 files and directories currently installed.) 124s Removing linux-headers-6.8.0-11-generic (6.8.0-11.11) ... 125s dpkg: libssl3:armhf: dependency problems, but removing anyway as you requested: 125s systemd depends on libssl3 (>= 3.0.0). 125s libssh-4:armhf depends on libssl3 (>= 3.0.0). 125s libsasl2-modules:armhf depends on libssl3 (>= 3.0.0). 125s libsasl2-2:armhf depends on libssl3 (>= 3.0.0). 125s libpython3.12-minimal:armhf depends on libssl3 (>= 3.0.0). 125s libpython3.11-minimal:armhf depends on libssl3 (>= 3.0.0). 125s libnvme1 depends on libssl3 (>= 3.0.0). 125s libfido2-1:armhf depends on libssl3 (>= 3.0.0). 125s libcryptsetup12:armhf depends on libssl3 (>= 3.0.0). 125s dhcpcd-base depends on libssl3 (>= 3.0.0). 125s bind9-libs:armhf depends on libssl3 (>= 3.0.0). 125s 125s Removing libssl3:armhf (3.0.10-1ubuntu4) ... 125s Selecting previously unselected package libssl3t64:armhf. 125s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78622 files and directories currently installed.) 125s Preparing to unpack .../libssl3t64_3.0.13-0ubuntu2_armhf.deb ... 125s Unpacking libssl3t64:armhf (3.0.13-0ubuntu2) ... 125s Setting up libssl3t64:armhf (3.0.13-0ubuntu2) ... 125s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78635 files and directories currently installed.) 125s Preparing to unpack .../libnss-systemd_255.4-1ubuntu5_armhf.deb ... 125s Unpacking libnss-systemd:armhf (255.4-1ubuntu5) over (255.2-3ubuntu2) ... 125s Preparing to unpack .../libudev1_255.4-1ubuntu5_armhf.deb ... 125s Unpacking libudev1:armhf (255.4-1ubuntu5) over (255.2-3ubuntu2) ... 125s Setting up libudev1:armhf (255.4-1ubuntu5) ... 125s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78635 files and directories currently installed.) 125s Preparing to unpack .../systemd_255.4-1ubuntu5_armhf.deb ... 125s Unpacking systemd (255.4-1ubuntu5) over (255.2-3ubuntu2) ... 126s Preparing to unpack .../udev_255.4-1ubuntu5_armhf.deb ... 126s Unpacking udev (255.4-1ubuntu5) over (255.2-3ubuntu2) ... 126s Preparing to unpack .../libsystemd0_255.4-1ubuntu5_armhf.deb ... 126s Unpacking libsystemd0:armhf (255.4-1ubuntu5) over (255.2-3ubuntu2) ... 126s Setting up libsystemd0:armhf (255.4-1ubuntu5) ... 126s Setting up libkmod2:armhf (31+20240202-2ubuntu4) ... 126s Setting up libsystemd-shared:armhf (255.4-1ubuntu5) ... 126s Setting up systemd-dev (255.4-1ubuntu5) ... 126s Setting up systemd (255.4-1ubuntu5) ... 127s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78635 files and directories currently installed.) 127s Preparing to unpack .../systemd-sysv_255.4-1ubuntu5_armhf.deb ... 127s Unpacking systemd-sysv (255.4-1ubuntu5) over (255.2-3ubuntu2) ... 127s Preparing to unpack .../libpam-systemd_255.4-1ubuntu5_armhf.deb ... 127s Unpacking libpam-systemd:armhf (255.4-1ubuntu5) over (255.2-3ubuntu2) ... 127s Preparing to unpack .../libpam-modules-bin_1.5.3-5ubuntu3_armhf.deb ... 127s Unpacking libpam-modules-bin (1.5.3-5ubuntu3) over (1.5.2-9.1ubuntu3) ... 127s Setting up libpam-modules-bin (1.5.3-5ubuntu3) ... 127s pam_namespace.service is a disabled or a static unit not running, not starting it. 127s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78635 files and directories currently installed.) 127s Preparing to unpack .../libpam-modules_1.5.3-5ubuntu3_armhf.deb ... 127s Unpacking libpam-modules:armhf (1.5.3-5ubuntu3) over (1.5.2-9.1ubuntu3) ... 127s Setting up libpam-modules:armhf (1.5.3-5ubuntu3) ... 127s Installing new version of config file /etc/security/namespace.init ... 127s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78633 files and directories currently installed.) 127s Preparing to unpack .../libpam-runtime_1.5.3-5ubuntu3_all.deb ... 127s Unpacking libpam-runtime (1.5.3-5ubuntu3) over (1.5.2-9.1ubuntu3) ... 127s Setting up libpam-runtime (1.5.3-5ubuntu3) ... 128s (Reading database ... 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(Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78633 files and directories currently installed.) 128s Preparing to unpack .../libgcc-s1_14-20240315-1ubuntu1_armhf.deb ... 128s Unpacking libgcc-s1:armhf (14-20240315-1ubuntu1) over (14-20240303-1ubuntu1) ... 128s Setting up libgcc-s1:armhf (14-20240315-1ubuntu1) ... 128s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78633 files and directories currently installed.) 128s Preparing to unpack .../libstdc++6_14-20240315-1ubuntu1_armhf.deb ... 128s Unpacking libstdc++6:armhf (14-20240315-1ubuntu1) over (14-20240303-1ubuntu1) ... 128s Setting up libstdc++6:armhf (14-20240315-1ubuntu1) ... 128s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78633 files and directories currently installed.) 128s Preparing to unpack .../0-libexpat1_2.6.1-2_armhf.deb ... 128s Unpacking libexpat1:armhf (2.6.1-2) over (2.6.0-1) ... 128s Preparing to unpack .../1-dbus-system-bus-common_1.14.10-4ubuntu2_all.deb ... 128s Unpacking dbus-system-bus-common (1.14.10-4ubuntu2) over (1.14.10-4ubuntu1) ... 128s Preparing to unpack .../2-dbus-bin_1.14.10-4ubuntu2_armhf.deb ... 128s Unpacking dbus-bin (1.14.10-4ubuntu2) over (1.14.10-4ubuntu1) ... 128s Preparing to unpack .../3-dbus_1.14.10-4ubuntu2_armhf.deb ... 128s Unpacking dbus (1.14.10-4ubuntu2) over (1.14.10-4ubuntu1) ... 128s Preparing to unpack .../4-dbus-daemon_1.14.10-4ubuntu2_armhf.deb ... 128s Unpacking dbus-daemon (1.14.10-4ubuntu2) over (1.14.10-4ubuntu1) ... 128s Preparing to unpack .../5-libdbus-1-3_1.14.10-4ubuntu2_armhf.deb ... 128s Unpacking libdbus-1-3:armhf (1.14.10-4ubuntu2) over (1.14.10-4ubuntu1) ... 128s Preparing to unpack .../6-libmount1_2.39.3-9ubuntu2_armhf.deb ... 128s Unpacking libmount1:armhf (2.39.3-9ubuntu2) over (2.39.3-6ubuntu2) ... 128s Setting up libmount1:armhf (2.39.3-9ubuntu2) ... 128s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78633 files and directories currently installed.) 128s Preparing to unpack .../libseccomp2_2.5.5-1ubuntu2_armhf.deb ... 128s Unpacking libseccomp2:armhf (2.5.5-1ubuntu2) over (2.5.5-1ubuntu1) ... 128s Setting up libseccomp2:armhf (2.5.5-1ubuntu2) ... 128s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78633 files and directories currently installed.) 128s Preparing to unpack .../libdevmapper1.02.1_2%3a1.02.185-3ubuntu2_armhf.deb ... 128s Unpacking libdevmapper1.02.1:armhf (2:1.02.185-3ubuntu2) over (2:1.02.185-3ubuntu1) ... 128s Preparing to unpack .../libuuid1_2.39.3-9ubuntu2_armhf.deb ... 128s Unpacking libuuid1:armhf (2.39.3-9ubuntu2) over (2.39.3-6ubuntu2) ... 128s Setting up libuuid1:armhf (2.39.3-9ubuntu2) ... 128s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78633 files and directories currently installed.) 128s Preparing to unpack .../0-libcryptsetup12_2%3a2.7.0-1ubuntu2_armhf.deb ... 128s Unpacking libcryptsetup12:armhf (2:2.7.0-1ubuntu2) over (2:2.7.0-1ubuntu1) ... 128s Preparing to unpack .../1-libfdisk1_2.39.3-9ubuntu2_armhf.deb ... 128s Unpacking libfdisk1:armhf (2.39.3-9ubuntu2) over (2.39.3-6ubuntu2) ... 129s Preparing to unpack .../2-mount_2.39.3-9ubuntu2_armhf.deb ... 129s Unpacking mount (2.39.3-9ubuntu2) over (2.39.3-6ubuntu2) ... 129s Preparing to unpack .../3-libblockdev-utils3_3.1.0-1build1_armhf.deb ... 129s Unpacking libblockdev-utils3:armhf (3.1.0-1build1) over (3.1.0-1) ... 129s Preparing to unpack .../4-libvolume-key1_0.3.12-7build1_armhf.deb ... 129s Unpacking libvolume-key1:armhf (0.3.12-7build1) over (0.3.12-5build2) ... 129s Preparing to unpack .../5-libjcat1_0.2.0-2build2_armhf.deb ... 129s Unpacking libjcat1:armhf (0.2.0-2build2) over (0.2.0-2) ... 129s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78633 files and directories currently installed.) 129s Removing libgpgme11:armhf (1.18.0-4ubuntu1) ... 129s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78627 files and directories currently installed.) 129s Preparing to unpack .../parted_3.6-3.1build2_armhf.deb ... 129s Unpacking parted (3.6-3.1build2) over (3.6-3) ... 129s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78627 files and directories currently installed.) 129s Removing libparted2:armhf (3.6-3) ... 129s Selecting previously unselected package libparted2t64:armhf. 129s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78621 files and directories currently installed.) 129s Preparing to unpack .../00-libparted2t64_3.6-3.1build2_armhf.deb ... 129s Unpacking libparted2t64:armhf (3.6-3.1build2) ... 129s Preparing to unpack .../01-python3.12_3.12.2-4build3_armhf.deb ... 129s Unpacking python3.12 (3.12.2-4build3) over (3.12.2-1) ... 129s Preparing to unpack .../02-python3.12-minimal_3.12.2-4build3_armhf.deb ... 129s Unpacking python3.12-minimal (3.12.2-4build3) over (3.12.2-1) ... 129s Preparing to unpack .../03-libpython3.12-stdlib_3.12.2-4build3_armhf.deb ... 129s Unpacking libpython3.12-stdlib:armhf (3.12.2-4build3) over (3.12.2-1) ... 129s Preparing to unpack .../04-libpython3.12-minimal_3.12.2-4build3_armhf.deb ... 129s Unpacking libpython3.12-minimal:armhf (3.12.2-4build3) over (3.12.2-1) ... 130s Preparing to unpack .../05-libsasl2-modules-db_2.1.28+dfsg1-5ubuntu1_armhf.deb ... 130s Unpacking libsasl2-modules-db:armhf (2.1.28+dfsg1-5ubuntu1) over (2.1.28+dfsg1-4) ... 130s Preparing to unpack .../06-python3.11_3.11.8-1build4_armhf.deb ... 130s Unpacking python3.11 (3.11.8-1build4) over (3.11.8-1) ... 130s Preparing to unpack .../07-python3.11-minimal_3.11.8-1build4_armhf.deb ... 130s Unpacking python3.11-minimal (3.11.8-1build4) over (3.11.8-1) ... 130s Preparing to unpack .../08-libpython3.11-stdlib_3.11.8-1build4_armhf.deb ... 130s Unpacking libpython3.11-stdlib:armhf (3.11.8-1build4) over (3.11.8-1) ... 130s Preparing to unpack .../09-libpython3.11-minimal_3.11.8-1build4_armhf.deb ... 130s Unpacking libpython3.11-minimal:armhf (3.11.8-1build4) over (3.11.8-1) ... 130s Preparing to unpack .../10-libsqlite3-0_3.45.1-1ubuntu1_armhf.deb ... 130s Unpacking libsqlite3-0:armhf (3.45.1-1ubuntu1) over (3.45.1-1) ... 130s Preparing to unpack .../11-libtext-iconv-perl_1.7-8build2_armhf.deb ... 130s Unpacking libtext-iconv-perl:armhf (1.7-8build2) over (1.7-8build1) ... 130s Preparing to unpack .../12-libtext-charwidth-perl_0.04-11build2_armhf.deb ... 130s Unpacking libtext-charwidth-perl:armhf (0.04-11build2) over (0.04-11build1) ... 130s Preparing to unpack .../13-perl-modules-5.38_5.38.2-3.2_all.deb ... 130s Unpacking perl-modules-5.38 (5.38.2-3.2) over (5.38.2-3) ... 131s dpkg: libperl5.38:armhf: dependency problems, but removing anyway as you requested: 131s perl depends on libperl5.38 (= 5.38.2-3). 131s 131s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78624 files and directories currently installed.) 131s Removing libperl5.38:armhf (5.38.2-3) ... 131s dpkg: libdb5.3:armhf: dependency problems, but removing anyway as you requested: 131s iproute2 depends on libdb5.3. 131s apt-utils depends on libdb5.3. 131s 131s Removing libdb5.3:armhf (5.3.28+dfsg2-4) ... 131s Selecting previously unselected package libdb5.3t64:armhf. 131s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78099 files and directories currently installed.) 131s Preparing to unpack .../libdb5.3t64_5.3.28+dfsg2-6_armhf.deb ... 131s Unpacking libdb5.3t64:armhf (5.3.28+dfsg2-6) ... 132s Preparing to unpack .../python3-gdbm_3.12.2-3ubuntu1.1_armhf.deb ... 132s Unpacking python3-gdbm:armhf (3.12.2-3ubuntu1.1) over (3.11.5-1) ... 132s Preparing to unpack .../man-db_2.12.0-3build4_armhf.deb ... 132s Unpacking man-db (2.12.0-3build4) over (2.12.0-3) ... 132s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78105 files and directories currently installed.) 132s Removing libgdbm-compat4:armhf (1.23-5) ... 132s Removing libgdbm6:armhf (1.23-5) ... 132s Selecting previously unselected package libgdbm6t64:armhf. 132s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78095 files and directories currently installed.) 132s Preparing to unpack .../libgdbm6t64_1.23-5.1_armhf.deb ... 132s Unpacking libgdbm6t64:armhf (1.23-5.1) ... 132s Selecting previously unselected package libgdbm-compat4t64:armhf. 132s Preparing to unpack .../libgdbm-compat4t64_1.23-5.1_armhf.deb ... 132s Unpacking libgdbm-compat4t64:armhf (1.23-5.1) ... 132s Selecting previously unselected package libperl5.38t64:armhf. 132s Preparing to unpack .../libperl5.38t64_5.38.2-3.2_armhf.deb ... 132s Unpacking libperl5.38t64:armhf (5.38.2-3.2) ... 132s Preparing to unpack .../perl_5.38.2-3.2_armhf.deb ... 132s Unpacking perl (5.38.2-3.2) over (5.38.2-3) ... 132s Preparing to unpack .../perl-base_5.38.2-3.2_armhf.deb ... 132s Unpacking perl-base (5.38.2-3.2) over (5.38.2-3) ... 132s Setting up perl-base (5.38.2-3.2) ... 133s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78626 files and directories currently installed.) 133s Preparing to unpack .../liblocale-gettext-perl_1.07-6ubuntu4_armhf.deb ... 133s Unpacking liblocale-gettext-perl (1.07-6ubuntu4) over (1.07-6build1) ... 133s dpkg: libnettle8:armhf: dependency problems, but removing anyway as you requested: 133s libhogweed6:armhf depends on libnettle8. 133s libgnutls30:armhf depends on libnettle8 (>= 3.9~). 133s libcurl3-gnutls:armhf depends on libnettle8. 133s libarchive13:armhf depends on libnettle8. 133s 133s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78626 files and directories currently installed.) 133s Removing libnettle8:armhf (3.9.1-2) ... 133s Selecting previously unselected package libnettle8t64:armhf. 133s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78619 files and directories currently installed.) 133s Preparing to unpack .../libnettle8t64_3.9.1-2.2_armhf.deb ... 133s Unpacking libnettle8t64:armhf (3.9.1-2.2) ... 133s Setting up libnettle8t64:armhf (3.9.1-2.2) ... 133s dpkg: libhogweed6:armhf: dependency problems, but removing anyway as you requested: 133s libgnutls30:armhf depends on libhogweed6 (>= 3.6). 133s 133s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78627 files and directories currently installed.) 133s Removing libhogweed6:armhf (3.9.1-2) ... 133s Selecting previously unselected package libhogweed6t64:armhf. 133s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78622 files and directories currently installed.) 133s Preparing to unpack .../libhogweed6t64_3.9.1-2.2_armhf.deb ... 133s Unpacking libhogweed6t64:armhf (3.9.1-2.2) ... 133s Setting up libhogweed6t64:armhf (3.9.1-2.2) ... 133s dpkg: libgnutls30:armhf: dependency problems, but removing anyway as you requested: 133s libldap2:armhf depends on libgnutls30 (>= 3.8.2). 133s libcurl3-gnutls:armhf depends on libgnutls30 (>= 3.8.2). 133s fwupd depends on libgnutls30 (>= 3.7.3). 133s dirmngr depends on libgnutls30 (>= 3.8.1). 133s apt depends on libgnutls30 (>= 3.8.1). 133s 133s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78628 files and directories currently installed.) 133s Removing libgnutls30:armhf (3.8.3-1ubuntu1) ... 133s Selecting previously unselected package libgnutls30t64:armhf. 133s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78619 files and directories currently installed.) 133s Preparing to unpack .../libgnutls30t64_3.8.3-1.1ubuntu2_armhf.deb ... 133s Unpacking libgnutls30t64:armhf (3.8.3-1.1ubuntu2) ... 133s Setting up libgnutls30t64:armhf (3.8.3-1.1ubuntu2) ... 133s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78647 files and directories currently installed.) 133s Preparing to unpack .../libldap2_2.6.7+dfsg-1~exp1ubuntu6_armhf.deb ... 133s Unpacking libldap2:armhf (2.6.7+dfsg-1~exp1ubuntu6) over (2.6.7+dfsg-1~exp1ubuntu1) ... 133s dpkg: libcurl3-gnutls:armhf: dependency problems, but removing anyway as you requested: 133s libfwupd2:armhf depends on libcurl3-gnutls (>= 7.63.0). 133s fwupd depends on libcurl3-gnutls (>= 7.63.0). 133s 133s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78647 files and directories currently installed.) 133s Removing libcurl3-gnutls:armhf (8.5.0-2ubuntu2) ... 133s Selecting previously unselected package libcurl3t64-gnutls:armhf. 133s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78640 files and directories currently installed.) 133s Preparing to unpack .../00-libcurl3t64-gnutls_8.5.0-2ubuntu8_armhf.deb ... 133s Unpacking libcurl3t64-gnutls:armhf (8.5.0-2ubuntu8) ... 133s Preparing to unpack .../01-shared-mime-info_2.4-1build1_armhf.deb ... 133s Unpacking shared-mime-info (2.4-1build1) over (2.4-1) ... 133s Preparing to unpack .../02-gir1.2-girepository-2.0_1.79.1-1ubuntu6_armhf.deb ... 133s Unpacking gir1.2-girepository-2.0:armhf (1.79.1-1ubuntu6) over (1.79.1-1) ... 133s Preparing to unpack .../03-gir1.2-glib-2.0_2.79.3-3ubuntu5_armhf.deb ... 133s Unpacking gir1.2-glib-2.0:armhf (2.79.3-3ubuntu5) over (2.79.2-1~ubuntu1) ... 133s Preparing to unpack .../04-libgirepository-1.0-1_1.79.1-1ubuntu6_armhf.deb ... 133s Unpacking libgirepository-1.0-1:armhf (1.79.1-1ubuntu6) over (1.79.1-1) ... 133s Preparing to unpack .../05-python3-gi_3.47.0-3build1_armhf.deb ... 134s Unpacking python3-gi (3.47.0-3build1) over (3.47.0-3) ... 134s Preparing to unpack .../06-python3-dbus_1.3.2-5build2_armhf.deb ... 134s Unpacking python3-dbus (1.3.2-5build2) over (1.3.2-5build1) ... 134s Selecting previously unselected package libnetplan1:armhf. 134s Preparing to unpack .../07-libnetplan1_1.0-1_armhf.deb ... 134s Unpacking libnetplan1:armhf (1.0-1) ... 134s Preparing to unpack .../08-python3-netplan_1.0-1_armhf.deb ... 134s Unpacking python3-netplan (1.0-1) over (0.107.1-3) ... 134s Preparing to unpack .../09-netplan-generator_1.0-1_armhf.deb ... 134s Adding 'diversion of /lib/systemd/system-generators/netplan to /lib/systemd/system-generators/netplan.usr-is-merged by netplan-generator' 134s Unpacking netplan-generator (1.0-1) over (0.107.1-3) ... 134s Preparing to unpack .../10-initramfs-tools-bin_0.142ubuntu23_armhf.deb ... 134s Unpacking initramfs-tools-bin (0.142ubuntu23) over (0.142ubuntu20) ... 134s Preparing to unpack .../11-initramfs-tools-core_0.142ubuntu23_all.deb ... 134s Unpacking initramfs-tools-core (0.142ubuntu23) over (0.142ubuntu20) ... 134s Preparing to unpack .../12-initramfs-tools_0.142ubuntu23_all.deb ... 134s Unpacking initramfs-tools (0.142ubuntu23) over (0.142ubuntu20) ... 134s Preparing to unpack .../13-netplan.io_1.0-1_armhf.deb ... 134s Unpacking netplan.io (1.0-1) over (0.107.1-3) ... 134s Preparing to unpack .../14-libxmlb2_0.3.15-1build1_armhf.deb ... 134s Unpacking libxmlb2:armhf (0.3.15-1build1) over (0.3.15-1) ... 134s Preparing to unpack .../15-libqrtr-glib0_1.2.2-1ubuntu3_armhf.deb ... 134s Unpacking libqrtr-glib0:armhf (1.2.2-1ubuntu3) over (1.2.2-1ubuntu2) ... 135s Preparing to unpack .../16-libqmi-glib5_1.35.2-0ubuntu1_armhf.deb ... 135s Unpacking libqmi-glib5:armhf (1.35.2-0ubuntu1) over (1.34.0-2) ... 135s Preparing to unpack .../17-libqmi-proxy_1.35.2-0ubuntu1_armhf.deb ... 135s Unpacking libqmi-proxy (1.35.2-0ubuntu1) over (1.34.0-2) ... 135s Preparing to unpack .../18-libpolkit-agent-1-0_124-1ubuntu1_armhf.deb ... 135s Unpacking libpolkit-agent-1-0:armhf (124-1ubuntu1) over (124-1) ... 135s Preparing to unpack .../19-libpolkit-gobject-1-0_124-1ubuntu1_armhf.deb ... 135s Unpacking libpolkit-gobject-1-0:armhf (124-1ubuntu1) over (124-1) ... 135s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78651 files and directories currently installed.) 135s Removing libnetplan0:armhf (0.107.1-3) ... 135s dpkg: libglib2.0-0:armhf: dependency problems, but removing anyway as you requested: 135s libmm-glib0:armhf depends on libglib2.0-0 (>= 2.62.0). 135s libmbim-proxy depends on libglib2.0-0 (>= 2.56). 135s libmbim-glib4:armhf depends on libglib2.0-0 (>= 2.56). 135s libjson-glib-1.0-0:armhf depends on libglib2.0-0 (>= 2.75.3). 135s libgusb2:armhf depends on libglib2.0-0 (>= 2.75.3). 135s libgudev-1.0-0:armhf depends on libglib2.0-0 (>= 2.38.0). 135s libfwupd2:armhf depends on libglib2.0-0 (>= 2.79.0). 135s libblockdev3:armhf depends on libglib2.0-0 (>= 2.42.2). 135s libblockdev-swap3:armhf depends on libglib2.0-0 (>= 2.42.2). 135s libblockdev-part3:armhf depends on libglib2.0-0 (>= 2.42.2). 135s libblockdev-nvme3:armhf depends on libglib2.0-0 (>= 2.42.2). 135s libblockdev-mdraid3:armhf depends on libglib2.0-0 (>= 2.42.2). 135s libblockdev-loop3:armhf depends on libglib2.0-0 (>= 2.42.2). 135s libblockdev-fs3:armhf depends on libglib2.0-0 (>= 2.42.2). 135s libblockdev-crypto3:armhf depends on libglib2.0-0 (>= 2.42.2). 135s fwupd depends on libglib2.0-0 (>= 2.79.0). 135s bolt depends on libglib2.0-0 (>= 2.56.0). 135s 135s Removing libglib2.0-0:armhf (2.79.2-1~ubuntu1) ... 135s Selecting previously unselected package libglib2.0-0t64:armhf. 135s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78622 files and directories currently installed.) 135s Preparing to unpack .../libglib2.0-0t64_2.79.3-3ubuntu5_armhf.deb ... 135s libglib2.0-0t64.preinst: Removing /var/lib/dpkg/info/libglib2.0-0:armhf.postrm to avoid loss of /usr/share/glib-2.0/schemas/gschemas.compiled... 135s removed '/var/lib/dpkg/info/libglib2.0-0:armhf.postrm' 135s Unpacking libglib2.0-0t64:armhf (2.79.3-3ubuntu5) ... 135s Preparing to unpack .../libfwupd2_1.9.15-2_armhf.deb ... 135s Unpacking libfwupd2:armhf (1.9.15-2) over (1.9.14-1) ... 135s dpkg: libarchive13:armhf: dependency problems, but removing anyway as you requested: 135s fwupd depends on libarchive13 (>= 3.2.1). 135s 135s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78647 files and directories currently installed.) 135s Removing libarchive13:armhf (3.7.2-1ubuntu2) ... 135s Selecting previously unselected package libarchive13t64:armhf. 135s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78641 files and directories currently installed.) 135s Preparing to unpack .../libarchive13t64_3.7.2-1.1ubuntu2_armhf.deb ... 135s Unpacking libarchive13t64:armhf (3.7.2-1.1ubuntu2) ... 135s Preparing to unpack .../fwupd_1.9.15-2_armhf.deb ... 135s Unpacking fwupd (1.9.15-2) over (1.9.14-1) ... 135s Preparing to unpack .../apt-utils_2.7.14_armhf.deb ... 135s Unpacking apt-utils (2.7.14) over (2.7.12) ... 135s dpkg: libapt-pkg6.0:armhf: dependency problems, but removing anyway as you requested: 135s ubuntu-pro-client depends on libapt-pkg6.0 (>= 1.9~). 135s python3-apt depends on libapt-pkg6.0 (>= 2.7.11). 135s apt depends on libapt-pkg6.0 (>= 2.7.12). 135s 135s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78648 files and directories currently installed.) 135s Removing libapt-pkg6.0:armhf (2.7.12) ... 135s Selecting previously unselected package libapt-pkg6.0t64:armhf. 136s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78599 files and directories currently installed.) 136s Preparing to unpack .../libapt-pkg6.0t64_2.7.14_armhf.deb ... 136s Unpacking libapt-pkg6.0t64:armhf (2.7.14) ... 136s Setting up libapt-pkg6.0t64:armhf (2.7.14) ... 136s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78649 files and directories currently installed.) 136s Preparing to unpack .../archives/apt_2.7.14_armhf.deb ... 136s Unpacking apt (2.7.14) over (2.7.12) ... 136s Setting up apt (2.7.14) ... 136s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78649 files and directories currently installed.) 136s Preparing to unpack .../ubuntu-pro-client-l10n_31.2.2_armhf.deb ... 136s Unpacking ubuntu-pro-client-l10n (31.2.2) over (31.1) ... 136s Preparing to unpack .../ubuntu-pro-client_31.2.2_armhf.deb ... 137s Unpacking ubuntu-pro-client (31.2.2) over (31.1) ... 137s Preparing to unpack .../keyboxd_2.4.4-2ubuntu15_armhf.deb ... 137s Unpacking keyboxd (2.4.4-2ubuntu15) over (2.4.4-2ubuntu7) ... 137s dpkg: libnpth0:armhf: dependency problems, but removing anyway as you requested: 137s gpgv depends on libnpth0 (>= 0.90). 137s gpgsm depends on libnpth0 (>= 0.90). 137s gpg-agent depends on libnpth0 (>= 0.90). 137s gpg depends on libnpth0 (>= 0.90). 137s dirmngr depends on libnpth0 (>= 0.90). 137s 137s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78649 files and directories currently installed.) 137s Removing libnpth0:armhf (1.6-3build2) ... 137s Selecting previously unselected package libnpth0t64:armhf. 137s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78644 files and directories currently installed.) 137s Preparing to unpack .../libnpth0t64_1.6-3.1_armhf.deb ... 137s Unpacking libnpth0t64:armhf (1.6-3.1) ... 137s Setting up libnpth0t64:armhf (1.6-3.1) ... 137s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78650 files and directories currently installed.) 137s Preparing to unpack .../gpgv_2.4.4-2ubuntu15_armhf.deb ... 137s Unpacking gpgv (2.4.4-2ubuntu15) over (2.4.4-2ubuntu7) ... 137s Setting up gpgv (2.4.4-2ubuntu15) ... 137s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78650 files and directories currently installed.) 137s Preparing to unpack .../gpg_2.4.4-2ubuntu15_armhf.deb ... 137s Unpacking gpg (2.4.4-2ubuntu15) over (2.4.4-2ubuntu7) ... 137s Preparing to unpack .../gpg-wks-client_2.4.4-2ubuntu15_armhf.deb ... 137s Unpacking gpg-wks-client (2.4.4-2ubuntu15) over (2.4.4-2ubuntu7) ... 137s Preparing to unpack .../gnupg-utils_2.4.4-2ubuntu15_armhf.deb ... 137s Unpacking gnupg-utils (2.4.4-2ubuntu15) over (2.4.4-2ubuntu7) ... 137s Preparing to unpack .../gpg-agent_2.4.4-2ubuntu15_armhf.deb ... 137s Unpacking gpg-agent (2.4.4-2ubuntu15) over (2.4.4-2ubuntu7) ... 137s Preparing to unpack .../gpgsm_2.4.4-2ubuntu15_armhf.deb ... 137s Unpacking gpgsm (2.4.4-2ubuntu15) over (2.4.4-2ubuntu7) ... 137s dpkg: libreadline8:armhf: dependency problems, but removing anyway as you requested: 137s gpgconf depends on libreadline8 (>= 6.0). 137s gawk depends on libreadline8 (>= 6.0). 137s fdisk depends on libreadline8 (>= 6.0). 137s 137s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78650 files and directories currently installed.) 137s Removing libreadline8:armhf (8.2-3) ... 137s Selecting previously unselected package libreadline8t64:armhf. 137s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78638 files and directories currently installed.) 137s Preparing to unpack .../libreadline8t64_8.2-4_armhf.deb ... 137s Adding 'diversion of /lib/arm-linux-gnueabihf/libhistory.so.8 to /lib/arm-linux-gnueabihf/libhistory.so.8.usr-is-merged by libreadline8t64' 137s Adding 'diversion of /lib/arm-linux-gnueabihf/libhistory.so.8.2 to /lib/arm-linux-gnueabihf/libhistory.so.8.2.usr-is-merged by libreadline8t64' 137s Adding 'diversion of /lib/arm-linux-gnueabihf/libreadline.so.8 to /lib/arm-linux-gnueabihf/libreadline.so.8.usr-is-merged by libreadline8t64' 137s Adding 'diversion of /lib/arm-linux-gnueabihf/libreadline.so.8.2 to /lib/arm-linux-gnueabihf/libreadline.so.8.2.usr-is-merged by libreadline8t64' 137s Unpacking libreadline8t64:armhf (8.2-4) ... 137s Setting up libreadline8t64:armhf (8.2-4) ... 137s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78658 files and directories currently installed.) 137s Preparing to unpack .../00-gawk_1%3a5.2.1-2build2_armhf.deb ... 137s Unpacking gawk (1:5.2.1-2build2) over (1:5.2.1-2) ... 138s Preparing to unpack .../01-fdisk_2.39.3-9ubuntu2_armhf.deb ... 138s Unpacking fdisk (2.39.3-9ubuntu2) over (2.39.3-6ubuntu2) ... 138s Preparing to unpack .../02-gpgconf_2.4.4-2ubuntu15_armhf.deb ... 138s Unpacking gpgconf (2.4.4-2ubuntu15) over (2.4.4-2ubuntu7) ... 138s Preparing to unpack .../03-dirmngr_2.4.4-2ubuntu15_armhf.deb ... 138s Unpacking dirmngr (2.4.4-2ubuntu15) over (2.4.4-2ubuntu7) ... 138s Preparing to unpack .../04-gnupg_2.4.4-2ubuntu15_all.deb ... 138s Unpacking gnupg (2.4.4-2ubuntu15) over (2.4.4-2ubuntu7) ... 138s Preparing to unpack .../05-python3-apt_2.7.7_armhf.deb ... 138s Unpacking python3-apt (2.7.7) over (2.7.6) ... 138s Preparing to unpack .../06-pinentry-curses_1.2.1-3ubuntu4_armhf.deb ... 138s Unpacking pinentry-curses (1.2.1-3ubuntu4) over (1.2.1-3ubuntu1) ... 138s Preparing to unpack .../07-python3-yaml_6.0.1-2build1_armhf.deb ... 138s Unpacking python3-yaml (6.0.1-2build1) over (6.0.1-2) ... 138s Preparing to unpack .../08-python-apt-common_2.7.7_all.deb ... 138s Unpacking python-apt-common (2.7.7) over (2.7.6) ... 138s Preparing to unpack .../09-python3-setuptools_68.1.2-2ubuntu1_all.deb ... 138s Unpacking python3-setuptools (68.1.2-2ubuntu1) over (68.1.2-2) ... 138s Preparing to unpack .../10-python3-pkg-resources_68.1.2-2ubuntu1_all.deb ... 138s Unpacking python3-pkg-resources (68.1.2-2ubuntu1) over (68.1.2-2) ... 138s Preparing to unpack .../11-dpkg_1.22.6ubuntu4_armhf.deb ... 138s Unpacking dpkg (1.22.6ubuntu4) over (1.22.4ubuntu5) ... 139s Setting up dpkg (1.22.6ubuntu4) ... 139s Setting up libpython3.12-minimal:armhf (3.12.2-4build3) ... 139s Setting up libexpat1:armhf (2.6.1-2) ... 139s Setting up python3.12-minimal (3.12.2-4build3) ... 140s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78655 files and directories currently installed.) 140s Preparing to unpack .../python3-minimal_3.12.2-0ubuntu1_armhf.deb ... 140s Unpacking python3-minimal (3.12.2-0ubuntu1) over (3.12.1-0ubuntu2) ... 140s Setting up python3-minimal (3.12.2-0ubuntu1) ... 140s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78655 files and directories currently installed.) 140s Preparing to unpack .../python3_3.12.2-0ubuntu1_armhf.deb ... 140s Unpacking python3 (3.12.2-0ubuntu1) over (3.12.1-0ubuntu2) ... 140s Preparing to unpack .../libpython3-stdlib_3.12.2-0ubuntu1_armhf.deb ... 140s Unpacking libpython3-stdlib:armhf (3.12.2-0ubuntu1) over (3.12.1-0ubuntu2) ... 140s Preparing to unpack .../libsmartcols1_2.39.3-9ubuntu2_armhf.deb ... 140s Unpacking libsmartcols1:armhf (2.39.3-9ubuntu2) over (2.39.3-6ubuntu2) ... 141s Setting up libsmartcols1:armhf (2.39.3-9ubuntu2) ... 141s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78655 files and directories currently installed.) 141s Preparing to unpack .../0-bsdextrautils_2.39.3-9ubuntu2_armhf.deb ... 141s Unpacking bsdextrautils (2.39.3-9ubuntu2) over (2.39.3-6ubuntu2) ... 141s Preparing to unpack .../1-groff-base_1.23.0-3build1_armhf.deb ... 141s Unpacking groff-base (1.23.0-3build1) over (1.23.0-3) ... 141s Preparing to unpack .../2-readline-common_8.2-4_all.deb ... 141s Unpacking readline-common (8.2-4) over (8.2-3) ... 141s Selecting previously unselected package libgpgme11t64:armhf. 141s Preparing to unpack .../3-libgpgme11t64_1.18.0-4.1ubuntu3_armhf.deb ... 141s Unpacking libgpgme11t64:armhf (1.18.0-4.1ubuntu3) ... 141s Preparing to unpack .../4-libblockdev-crypto3_3.1.0-1build1_armhf.deb ... 141s Unpacking libblockdev-crypto3:armhf (3.1.0-1build1) over (3.1.0-1) ... 141s Preparing to unpack .../5-e2fsprogs-l10n_1.47.0-2.4~exp1ubuntu2_all.deb ... 141s Unpacking e2fsprogs-l10n (1.47.0-2.4~exp1ubuntu2) over (1.47.0-2ubuntu1) ... 141s Preparing to unpack .../6-logsave_1.47.0-2.4~exp1ubuntu2_armhf.deb ... 141s Unpacking logsave (1.47.0-2.4~exp1ubuntu2) over (1.47.0-2ubuntu1) ... 141s Preparing to unpack .../7-dhcpcd-base_1%3a10.0.6-1ubuntu2_armhf.deb ... 141s Unpacking dhcpcd-base (1:10.0.6-1ubuntu2) over (1:10.0.6-1ubuntu1) ... 141s Preparing to unpack .../8-libblockdev-fs3_3.1.0-1build1_armhf.deb ... 141s Unpacking libblockdev-fs3:armhf (3.1.0-1build1) over (3.1.0-1) ... 141s dpkg: libreiserfscore0: dependency problems, but removing anyway as you requested: 141s btrfs-progs depends on libreiserfscore0 (>= 1:3.6.27). 141s 141s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78662 files and directories currently installed.) 141s Removing libreiserfscore0 (1:3.6.27-7) ... 141s Selecting previously unselected package libreiserfscore0t64. 141s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78657 files and directories currently installed.) 141s Preparing to unpack .../libreiserfscore0t64_1%3a3.6.27-7.1_armhf.deb ... 141s Unpacking libreiserfscore0t64 (1:3.6.27-7.1) ... 141s Preparing to unpack .../btrfs-progs_6.6.3-1.1build1_armhf.deb ... 141s Unpacking btrfs-progs (6.6.3-1.1build1) over (6.6.3-1.1) ... 141s dpkg: libext2fs2:armhf: dependency problems, but removing anyway as you requested: 141s e2fsprogs depends on libext2fs2 (= 1.47.0-2ubuntu1). 141s 141s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78663 files and directories currently installed.) 141s Removing libext2fs2:armhf (1.47.0-2ubuntu1) ... 141s Selecting previously unselected package libext2fs2t64:armhf. 141s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78656 files and directories currently installed.) 141s Preparing to unpack .../libext2fs2t64_1.47.0-2.4~exp1ubuntu2_armhf.deb ... 141s Adding 'diversion of /lib/arm-linux-gnueabihf/libe2p.so.2 to /lib/arm-linux-gnueabihf/libe2p.so.2.usr-is-merged by libext2fs2t64' 141s Adding 'diversion of /lib/arm-linux-gnueabihf/libe2p.so.2.3 to /lib/arm-linux-gnueabihf/libe2p.so.2.3.usr-is-merged by libext2fs2t64' 141s Adding 'diversion of /lib/arm-linux-gnueabihf/libext2fs.so.2 to /lib/arm-linux-gnueabihf/libext2fs.so.2.usr-is-merged by libext2fs2t64' 141s Adding 'diversion of /lib/arm-linux-gnueabihf/libext2fs.so.2.4 to /lib/arm-linux-gnueabihf/libext2fs.so.2.4.usr-is-merged by libext2fs2t64' 141s Unpacking libext2fs2t64:armhf (1.47.0-2.4~exp1ubuntu2) ... 141s Setting up libcom-err2:armhf (1.47.0-2.4~exp1ubuntu2) ... 141s Setting up libext2fs2t64:armhf (1.47.0-2.4~exp1ubuntu2) ... 141s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78672 files and directories currently installed.) 141s Preparing to unpack .../e2fsprogs_1.47.0-2.4~exp1ubuntu2_armhf.deb ... 141s Unpacking e2fsprogs (1.47.0-2.4~exp1ubuntu2) over (1.47.0-2ubuntu1) ... 141s Preparing to unpack .../libblockdev-loop3_3.1.0-1build1_armhf.deb ... 141s Unpacking libblockdev-loop3:armhf (3.1.0-1build1) over (3.1.0-1) ... 142s Preparing to unpack .../libblockdev-mdraid3_3.1.0-1build1_armhf.deb ... 142s Unpacking libblockdev-mdraid3:armhf (3.1.0-1build1) over (3.1.0-1) ... 142s Preparing to unpack .../libblockdev-nvme3_3.1.0-1build1_armhf.deb ... 142s Unpacking libblockdev-nvme3:armhf (3.1.0-1build1) over (3.1.0-1) ... 142s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78672 files and directories currently installed.) 142s Removing libnvme1 (1.8-2) ... 142s Selecting previously unselected package libnvme1t64. 142s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78665 files and directories currently installed.) 142s Preparing to unpack .../0-libnvme1t64_1.8-3_armhf.deb ... 142s Unpacking libnvme1t64 (1.8-3) ... 142s Preparing to unpack .../1-libblockdev-part3_3.1.0-1build1_armhf.deb ... 142s Unpacking libblockdev-part3:armhf (3.1.0-1build1) over (3.1.0-1) ... 142s Preparing to unpack .../2-libblockdev-swap3_3.1.0-1build1_armhf.deb ... 142s Unpacking libblockdev-swap3:armhf (3.1.0-1build1) over (3.1.0-1) ... 142s Preparing to unpack .../3-libblockdev3_3.1.0-1build1_armhf.deb ... 142s Unpacking libblockdev3:armhf (3.1.0-1build1) over (3.1.0-1) ... 142s Preparing to unpack .../4-libgudev-1.0-0_1%3a238-3ubuntu2_armhf.deb ... 142s Unpacking libgudev-1.0-0:armhf (1:238-3ubuntu2) over (1:238-3) ... 142s Preparing to unpack .../5-libxml2_2.9.14+dfsg-1.3ubuntu2_armhf.deb ... 142s Unpacking libxml2:armhf (2.9.14+dfsg-1.3ubuntu2) over (2.9.14+dfsg-1.3ubuntu1) ... 142s Preparing to unpack .../6-libbpf1_1%3a1.3.0-2build1_armhf.deb ... 142s Unpacking libbpf1:armhf (1:1.3.0-2build1) over (1:1.3.0-2) ... 142s Preparing to unpack .../7-iproute2_6.1.0-1ubuntu5_armhf.deb ... 142s Unpacking iproute2 (6.1.0-1ubuntu5) over (6.1.0-1ubuntu2) ... 142s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78673 files and directories currently installed.) 142s Removing libelf1:armhf (0.190-1) ... 142s Selecting previously unselected package libelf1t64:armhf. 142s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78668 files and directories currently installed.) 142s Preparing to unpack .../libelf1t64_0.190-1.1build2_armhf.deb ... 142s Unpacking libelf1t64:armhf (0.190-1.1build2) ... 142s Preparing to unpack .../libtirpc-common_1.3.4+ds-1.1_all.deb ... 142s Unpacking libtirpc-common (1.3.4+ds-1.1) over (1.3.4+ds-1build1) ... 142s Preparing to unpack .../lsof_4.95.0-1build2_armhf.deb ... 142s Unpacking lsof (4.95.0-1build2) over (4.95.0-1build1) ... 142s Preparing to unpack .../libnsl2_1.3.0-3build2_armhf.deb ... 142s Unpacking libnsl2:armhf (1.3.0-3build2) over (1.3.0-3) ... 142s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78673 files and directories currently installed.) 142s Removing libtirpc3:armhf (1.3.4+ds-1build1) ... 142s Selecting previously unselected package libtirpc3t64:armhf. 142s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78667 files and directories currently installed.) 142s Preparing to unpack .../00-libtirpc3t64_1.3.4+ds-1.1_armhf.deb ... 142s Adding 'diversion of /lib/arm-linux-gnueabihf/libtirpc.so.3 to /lib/arm-linux-gnueabihf/libtirpc.so.3.usr-is-merged by libtirpc3t64' 142s Adding 'diversion of /lib/arm-linux-gnueabihf/libtirpc.so.3.0.0 to /lib/arm-linux-gnueabihf/libtirpc.so.3.0.0.usr-is-merged by libtirpc3t64' 143s Unpacking libtirpc3t64:armhf (1.3.4+ds-1.1) ... 143s Preparing to unpack .../01-libmbim-proxy_1.31.2-0ubuntu2_armhf.deb ... 143s Unpacking libmbim-proxy (1.31.2-0ubuntu2) over (1.30.0-1) ... 143s Preparing to unpack .../02-libmbim-glib4_1.31.2-0ubuntu2_armhf.deb ... 143s Unpacking libmbim-glib4:armhf (1.31.2-0ubuntu2) over (1.30.0-1) ... 143s Preparing to unpack .../03-libjson-glib-1.0-common_1.8.0-2build1_all.deb ... 143s Unpacking libjson-glib-1.0-common (1.8.0-2build1) over (1.8.0-2) ... 143s Preparing to unpack .../04-libjson-glib-1.0-0_1.8.0-2build1_armhf.deb ... 143s Unpacking libjson-glib-1.0-0:armhf (1.8.0-2build1) over (1.8.0-2) ... 143s Preparing to unpack .../05-libnghttp2-14_1.59.0-1build1_armhf.deb ... 143s Unpacking libnghttp2-14:armhf (1.59.0-1build1) over (1.59.0-1) ... 143s Preparing to unpack .../06-libssh-4_0.10.6-2build1_armhf.deb ... 143s Unpacking libssh-4:armhf (0.10.6-2build1) over (0.10.6-2) ... 143s Preparing to unpack .../07-libusb-1.0-0_2%3a1.0.27-1_armhf.deb ... 143s Unpacking libusb-1.0-0:armhf (2:1.0.27-1) over (2:1.0.26-1) ... 143s Preparing to unpack .../08-libgusb2_0.4.8-1build1_armhf.deb ... 143s Unpacking libgusb2:armhf (0.4.8-1build1) over (0.4.8-1) ... 143s Preparing to unpack .../09-libmm-glib0_1.23.4-0ubuntu1_armhf.deb ... 143s Unpacking libmm-glib0:armhf (1.23.4-0ubuntu1) over (1.22.0-3) ... 143s Preparing to unpack .../10-libprotobuf-c1_1.4.1-1ubuntu3_armhf.deb ... 143s Unpacking libprotobuf-c1:armhf (1.4.1-1ubuntu3) over (1.4.1-1ubuntu2) ... 143s Preparing to unpack .../11-libsasl2-2_2.1.28+dfsg1-5ubuntu1_armhf.deb ... 143s Unpacking libsasl2-2:armhf (2.1.28+dfsg1-5ubuntu1) over (2.1.28+dfsg1-4) ... 143s Preparing to unpack .../12-libibverbs1_50.0-2build1_armhf.deb ... 143s Unpacking libibverbs1:armhf (50.0-2build1) over (50.0-2) ... 143s Preparing to unpack .../13-libfido2-1_1.14.0-1build1_armhf.deb ... 143s Unpacking libfido2-1:armhf (1.14.0-1build1) over (1.14.0-1) ... 143s Preparing to unpack .../14-libproc2-0_2%3a4.0.4-4ubuntu2_armhf.deb ... 143s Unpacking libproc2-0:armhf (2:4.0.4-4ubuntu2) over (2:4.0.4-4ubuntu1) ... 143s Preparing to unpack .../15-procps_2%3a4.0.4-4ubuntu2_armhf.deb ... 143s Unpacking procps (2:4.0.4-4ubuntu2) over (2:4.0.4-4ubuntu1) ... 143s Preparing to unpack .../16-coreutils_9.4-3ubuntu3_armhf.deb ... 143s Unpacking coreutils (9.4-3ubuntu3) over (9.4-2ubuntu4) ... 143s Setting up coreutils (9.4-3ubuntu3) ... 143s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78679 files and directories currently installed.) 143s Preparing to unpack .../util-linux_2.39.3-9ubuntu2_armhf.deb ... 143s Unpacking util-linux (2.39.3-9ubuntu2) over (2.39.3-6ubuntu2) ... 143s Setting up util-linux (2.39.3-9ubuntu2) ... 144s fstrim.service is a disabled or a static unit not running, not starting it. 144s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78679 files and directories currently installed.) 144s Removing libatm1:armhf (1:2.5.1-5) ... 144s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78674 files and directories currently installed.) 144s Preparing to unpack .../file_1%3a5.45-3_armhf.deb ... 144s Unpacking file (1:5.45-3) over (1:5.45-2) ... 144s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78674 files and directories currently installed.) 144s Removing libmagic1:armhf (1:5.45-2) ... 144s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78664 files and directories currently installed.) 144s Preparing to unpack .../libmagic-mgc_1%3a5.45-3_armhf.deb ... 144s Unpacking libmagic-mgc (1:5.45-3) over (1:5.45-2) ... 145s Selecting previously unselected package libmagic1t64:armhf. 145s Preparing to unpack .../libmagic1t64_1%3a5.45-3_armhf.deb ... 145s Unpacking libmagic1t64:armhf (1:5.45-3) ... 145s Preparing to unpack .../libplymouth5_24.004.60-1ubuntu6_armhf.deb ... 145s Unpacking libplymouth5:armhf (24.004.60-1ubuntu6) over (24.004.60-1ubuntu3) ... 145s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78675 files and directories currently installed.) 145s Removing libpng16-16:armhf (1.6.43-1) ... 145s Selecting previously unselected package libpng16-16t64:armhf. 145s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78665 files and directories currently installed.) 145s Preparing to unpack .../libpng16-16t64_1.6.43-3_armhf.deb ... 145s Unpacking libpng16-16t64:armhf (1.6.43-3) ... 145s Preparing to unpack .../bind9-host_1%3a9.18.24-0ubuntu3_armhf.deb ... 145s Unpacking bind9-host (1:9.18.24-0ubuntu3) over (1:9.18.21-0ubuntu1) ... 145s Preparing to unpack .../bind9-dnsutils_1%3a9.18.24-0ubuntu3_armhf.deb ... 145s Unpacking bind9-dnsutils (1:9.18.24-0ubuntu3) over (1:9.18.21-0ubuntu1) ... 145s Preparing to unpack .../bind9-libs_1%3a9.18.24-0ubuntu3_armhf.deb ... 145s Unpacking bind9-libs:armhf (1:9.18.24-0ubuntu3) over (1:9.18.21-0ubuntu1) ... 145s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78676 files and directories currently installed.) 145s Removing libuv1:armhf (1.48.0-1) ... 145s Selecting previously unselected package libuv1t64:armhf. 145s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78671 files and directories currently installed.) 145s Preparing to unpack .../libuv1t64_1.48.0-1.1_armhf.deb ... 145s Unpacking libuv1t64:armhf (1.48.0-1.1) ... 145s Preparing to unpack .../uuid-runtime_2.39.3-9ubuntu2_armhf.deb ... 145s Unpacking uuid-runtime (2.39.3-9ubuntu2) over (2.39.3-6ubuntu2) ... 145s Preparing to unpack .../libdebconfclient0_0.271ubuntu2_armhf.deb ... 145s Unpacking libdebconfclient0:armhf (0.271ubuntu2) over (0.271ubuntu1) ... 145s Setting up libdebconfclient0:armhf (0.271ubuntu2) ... 145s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78677 files and directories currently installed.) 145s Preparing to unpack .../libsemanage-common_3.5-1build4_all.deb ... 145s Unpacking libsemanage-common (3.5-1build4) over (3.5-1build2) ... 145s Setting up libsemanage-common (3.5-1build4) ... 145s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78677 files and directories currently installed.) 145s Preparing to unpack .../libsemanage2_3.5-1build4_armhf.deb ... 145s Unpacking libsemanage2:armhf (3.5-1build4) over (3.5-1build2) ... 145s Setting up libsemanage2:armhf (3.5-1build4) ... 145s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78677 files and directories currently installed.) 145s Preparing to unpack .../install-info_7.1-3build1_armhf.deb ... 145s Unpacking install-info (7.1-3build1) over (7.1-3) ... 145s Setting up install-info (7.1-3build1) ... 146s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78677 files and directories currently installed.) 146s Preparing to unpack .../00-gcc-13-base_13.2.0-21ubuntu1_armhf.deb ... 146s Unpacking gcc-13-base:armhf (13.2.0-21ubuntu1) over (13.2.0-17ubuntu2) ... 146s Preparing to unpack .../01-libss2_1.47.0-2.4~exp1ubuntu2_armhf.deb ... 146s Unpacking libss2:armhf (1.47.0-2.4~exp1ubuntu2) over (1.47.0-2ubuntu1) ... 146s Preparing to unpack .../02-dmsetup_2%3a1.02.185-3ubuntu2_armhf.deb ... 146s Unpacking dmsetup (2:1.02.185-3ubuntu2) over (2:1.02.185-3ubuntu1) ... 146s Preparing to unpack .../03-eject_2.39.3-9ubuntu2_armhf.deb ... 146s Unpacking eject (2.39.3-9ubuntu2) over (2.39.3-6ubuntu2) ... 146s Preparing to unpack .../04-krb5-locales_1.20.1-6ubuntu1_all.deb ... 146s Unpacking krb5-locales (1.20.1-6ubuntu1) over (1.20.1-5build1) ... 146s Preparing to unpack .../05-libglib2.0-data_2.79.3-3ubuntu5_all.deb ... 146s Unpacking libglib2.0-data (2.79.3-3ubuntu5) over (2.79.2-1~ubuntu1) ... 146s Preparing to unpack .../06-libslang2_2.3.3-3build1_armhf.deb ... 146s Unpacking libslang2:armhf (2.3.3-3build1) over (2.3.3-3) ... 146s Preparing to unpack .../07-rsyslog_8.2312.0-3ubuntu7_armhf.deb ... 146s Unpacking rsyslog (8.2312.0-3ubuntu7) over (8.2312.0-3ubuntu3) ... 146s Preparing to unpack .../08-vim-tiny_2%3a9.1.0016-1ubuntu6_armhf.deb ... 146s Unpacking vim-tiny (2:9.1.0016-1ubuntu6) over (2:9.1.0016-1ubuntu2) ... 146s Preparing to unpack .../09-vim-common_2%3a9.1.0016-1ubuntu6_all.deb ... 146s Unpacking vim-common (2:9.1.0016-1ubuntu6) over (2:9.1.0016-1ubuntu2) ... 146s Selecting previously unselected package xdg-user-dirs. 146s Preparing to unpack .../10-xdg-user-dirs_0.18-1_armhf.deb ... 146s Unpacking xdg-user-dirs (0.18-1) ... 146s Preparing to unpack .../11-xxd_2%3a9.1.0016-1ubuntu6_armhf.deb ... 146s Unpacking xxd (2:9.1.0016-1ubuntu6) over (2:9.1.0016-1ubuntu2) ... 146s Preparing to unpack .../12-apparmor_4.0.0-beta3-0ubuntu2_armhf.deb ... 147s Unpacking apparmor (4.0.0-beta3-0ubuntu2) over (4.0.0~alpha4-0ubuntu1) ... 147s Preparing to unpack .../13-ftp_20230507-2build1_all.deb ... 147s Unpacking ftp (20230507-2build1) over (20230507-2) ... 147s Preparing to unpack .../14-inetutils-telnet_2%3a2.5-3ubuntu3_armhf.deb ... 147s Unpacking inetutils-telnet (2:2.5-3ubuntu3) over (2:2.5-3ubuntu1) ... 147s Preparing to unpack .../15-info_7.1-3build1_armhf.deb ... 147s Unpacking info (7.1-3build1) over (7.1-3) ... 147s Preparing to unpack .../16-libxmuu1_2%3a1.1.3-3build1_armhf.deb ... 147s Unpacking libxmuu1:armhf (2:1.1.3-3build1) over (2:1.1.3-3) ... 148s Preparing to unpack .../17-lshw_02.19.git.2021.06.19.996aaad9c7-2build2_armhf.deb ... 148s Unpacking lshw (02.19.git.2021.06.19.996aaad9c7-2build2) over (02.19.git.2021.06.19.996aaad9c7-2build1) ... 148s Preparing to unpack .../18-mtr-tiny_0.95-1.1build1_armhf.deb ... 148s Unpacking mtr-tiny (0.95-1.1build1) over (0.95-1.1) ... 148s Preparing to unpack .../19-plymouth-theme-ubuntu-text_24.004.60-1ubuntu6_armhf.deb ... 148s Unpacking plymouth-theme-ubuntu-text (24.004.60-1ubuntu6) over (24.004.60-1ubuntu3) ... 148s Preparing to unpack .../20-plymouth_24.004.60-1ubuntu6_armhf.deb ... 148s Unpacking plymouth (24.004.60-1ubuntu6) over (24.004.60-1ubuntu3) ... 148s Preparing to unpack .../21-psmisc_23.7-1_armhf.deb ... 148s Unpacking psmisc (23.7-1) over (23.6-2) ... 148s Preparing to unpack .../22-telnet_0.17+2.5-3ubuntu3_all.deb ... 148s Unpacking telnet (0.17+2.5-3ubuntu3) over (0.17+2.5-3ubuntu1) ... 148s Preparing to unpack .../23-usb.ids_2024.03.18-1_all.deb ... 148s Unpacking usb.ids (2024.03.18-1) over (2024.01.30-1) ... 148s Preparing to unpack .../24-xz-utils_5.6.0-0.2_armhf.deb ... 148s Unpacking xz-utils (5.6.0-0.2) over (5.4.5-0.3) ... 148s Preparing to unpack .../25-libctf0_2.42-4ubuntu1_armhf.deb ... 148s Unpacking libctf0:armhf (2.42-4ubuntu1) over (2.42-3ubuntu1) ... 148s Preparing to unpack .../26-libctf-nobfd0_2.42-4ubuntu1_armhf.deb ... 148s Unpacking libctf-nobfd0:armhf (2.42-4ubuntu1) over (2.42-3ubuntu1) ... 148s Preparing to unpack .../27-binutils-arm-linux-gnueabihf_2.42-4ubuntu1_armhf.deb ... 148s Unpacking binutils-arm-linux-gnueabihf (2.42-4ubuntu1) over (2.42-3ubuntu1) ... 148s Preparing to unpack .../28-libbinutils_2.42-4ubuntu1_armhf.deb ... 148s Unpacking libbinutils:armhf (2.42-4ubuntu1) over (2.42-3ubuntu1) ... 148s Preparing to unpack .../29-binutils_2.42-4ubuntu1_armhf.deb ... 148s Unpacking binutils (2.42-4ubuntu1) over (2.42-3ubuntu1) ... 148s Preparing to unpack .../30-binutils-common_2.42-4ubuntu1_armhf.deb ... 148s Unpacking binutils-common:armhf (2.42-4ubuntu1) over (2.42-3ubuntu1) ... 148s Preparing to unpack .../31-libsframe1_2.42-4ubuntu1_armhf.deb ... 148s Unpacking libsframe1:armhf (2.42-4ubuntu1) over (2.42-3ubuntu1) ... 148s Preparing to unpack .../32-bolt_0.9.6-2build1_armhf.deb ... 148s Unpacking bolt (0.9.6-2build1) over (0.9.6-2) ... 149s Preparing to unpack .../33-cryptsetup-bin_2%3a2.7.0-1ubuntu2_armhf.deb ... 149s Unpacking cryptsetup-bin (2:2.7.0-1ubuntu2) over (2:2.7.0-1ubuntu1) ... 149s Preparing to unpack .../34-dpkg-dev_1.22.6ubuntu4_all.deb ... 149s Unpacking dpkg-dev (1.22.6ubuntu4) over (1.22.4ubuntu5) ... 149s Preparing to unpack .../35-libdpkg-perl_1.22.6ubuntu4_all.deb ... 149s Unpacking libdpkg-perl (1.22.6ubuntu4) over (1.22.4ubuntu5) ... 149s Preparing to unpack .../36-gnupg-l10n_2.4.4-2ubuntu15_all.deb ... 149s Unpacking gnupg-l10n (2.4.4-2ubuntu15) over (2.4.4-2ubuntu7) ... 149s Preparing to unpack .../37-ibverbs-providers_50.0-2build1_armhf.deb ... 149s Unpacking ibverbs-providers:armhf (50.0-2build1) over (50.0-2) ... 149s Preparing to unpack .../38-jq_1.7.1-3_armhf.deb ... 149s Unpacking jq (1.7.1-3) over (1.7.1-2) ... 149s Preparing to unpack .../39-libjq1_1.7.1-3_armhf.deb ... 149s Unpacking libjq1:armhf (1.7.1-3) over (1.7.1-2) ... 149s Selecting previously unselected package libatm1t64:armhf. 149s Preparing to unpack .../40-libatm1t64_1%3a2.5.1-5.1_armhf.deb ... 149s Unpacking libatm1t64:armhf (1:2.5.1-5.1) ... 149s Preparing to unpack .../41-libevent-core-2.1-7_2.1.12-stable-9build1_armhf.deb ... 149s Unpacking libevent-core-2.1-7:armhf (2.1.12-stable-9build1) over (2.1.12-stable-9) ... 149s Preparing to unpack .../42-libftdi1-2_1.5-6build4_armhf.deb ... 149s Unpacking libftdi1-2:armhf (1.5-6build4) over (1.5-6build3) ... 149s Preparing to unpack .../43-libldap-common_2.6.7+dfsg-1~exp1ubuntu6_all.deb ... 149s Unpacking libldap-common (2.6.7+dfsg-1~exp1ubuntu6) over (2.6.7+dfsg-1~exp1ubuntu1) ... 149s Preparing to unpack .../44-libsasl2-modules_2.1.28+dfsg1-5ubuntu1_armhf.deb ... 149s Unpacking libsasl2-modules:armhf (2.1.28+dfsg1-5ubuntu1) over (2.1.28+dfsg1-4) ... 149s Preparing to unpack .../45-python3-distutils_3.12.2-3ubuntu1.1_all.deb ... 149s Unpacking python3-distutils (3.12.2-3ubuntu1.1) over (3.11.5-1) ... 149s Preparing to unpack .../46-python3-lib2to3_3.12.2-3ubuntu1.1_all.deb ... 150s Unpacking python3-lib2to3 (3.12.2-3ubuntu1.1) over (3.11.5-1) ... 150s Preparing to unpack .../47-python3-pyrsistent_0.20.0-1build1_armhf.deb ... 150s Unpacking python3-pyrsistent:armhf (0.20.0-1build1) over (0.20.0-1) ... 150s Preparing to unpack .../48-python3-typing-extensions_4.10.0-1_all.deb ... 150s Unpacking python3-typing-extensions (4.10.0-1) over (4.9.0-1) ... 150s Preparing to unpack .../49-kpartx_0.9.4-5ubuntu6_armhf.deb ... 150s Unpacking kpartx (0.9.4-5ubuntu6) over (0.9.4-5ubuntu3) ... 150s Setting up pinentry-curses (1.2.1-3ubuntu4) ... 150s Setting up motd-news-config (13ubuntu8) ... 150s Setting up libtext-iconv-perl:armhf (1.7-8build2) ... 150s Setting up libtext-charwidth-perl:armhf (0.04-11build2) ... 150s Setting up libibverbs1:armhf (50.0-2build1) ... 150s Setting up systemd-sysv (255.4-1ubuntu5) ... 150s Setting up libapparmor1:armhf (4.0.0-beta3-0ubuntu2) ... 150s Setting up libatm1t64:armhf (1:2.5.1-5.1) ... 150s Setting up libgdbm6t64:armhf (1.23-5.1) ... 150s Setting up bsdextrautils (2.39.3-9ubuntu2) ... 150s Setting up libgdbm-compat4t64:armhf (1.23-5.1) ... 150s Setting up xdg-user-dirs (0.18-1) ... 150s Setting up ibverbs-providers:armhf (50.0-2build1) ... 150s Setting up linux-headers-6.8.0-20 (6.8.0-20.20) ... 150s Setting up libmagic-mgc (1:5.45-3) ... 150s Setting up gawk (1:5.2.1-2build2) ... 150s Setting up psmisc (23.7-1) ... 150s Setting up libjq1:armhf (1.7.1-3) ... 150s Setting up libtirpc-common (1.3.4+ds-1.1) ... 150s Setting up libbrotli1:armhf (1.1.0-2build1) ... 150s Setting up libsqlite3-0:armhf (3.45.1-1ubuntu1) ... 150s Setting up libsasl2-modules:armhf (2.1.28+dfsg1-5ubuntu1) ... 150s Setting up libuv1t64:armhf (1.48.0-1.1) ... 150s Setting up libmagic1t64:armhf (1:5.45-3) ... 150s Setting up rsyslog (8.2312.0-3ubuntu7) ... 150s info: The user `syslog' is already a member of `adm'. 150s apparmor_parser: Unable to replace "rsyslogd". apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 150s 151s Setting up binutils-common:armhf (2.42-4ubuntu1) ... 151s Setting up libpsl5t64:armhf (0.21.2-1.1) ... 151s Setting up libnghttp2-14:armhf (1.59.0-1build1) ... 151s Setting up libreiserfscore0t64 (1:3.6.27-7.1) ... 151s Setting up libctf-nobfd0:armhf (2.42-4ubuntu1) ... 151s Setting up libnss-systemd:armhf (255.4-1ubuntu5) ... 151s Setting up krb5-locales (1.20.1-6ubuntu1) ... 151s Setting up file (1:5.45-3) ... 151s Setting up kmod (31+20240202-2ubuntu4) ... 152s Setting up lshw (02.19.git.2021.06.19.996aaad9c7-2build2) ... 152s Setting up libldap-common (2.6.7+dfsg-1~exp1ubuntu6) ... 152s Setting up libprotobuf-c1:armhf (1.4.1-1ubuntu3) ... 152s Setting up xxd (2:9.1.0016-1ubuntu6) ... 152s Setting up libsframe1:armhf (2.42-4ubuntu1) ... 152s Setting up libelf1t64:armhf (0.190-1.1build2) ... 152s Setting up libkrb5support0:armhf (1.20.1-6ubuntu1) ... 152s Setting up linux-headers-6.8.0-20-generic (6.8.0-20.20) ... 152s Setting up eject (2.39.3-9ubuntu2) ... 152s Setting up apparmor (4.0.0-beta3-0ubuntu2) ... 152s Installing new version of config file /etc/apparmor.d/abstractions/authentication ... 152s Installing new version of config file /etc/apparmor.d/abstractions/crypto ... 152s Installing new version of config file /etc/apparmor.d/abstractions/kde-open5 ... 152s Installing new version of config file /etc/apparmor.d/abstractions/openssl ... 152s Installing new version of config file /etc/apparmor.d/code ... 152s Installing new version of config file /etc/apparmor.d/firefox ... 152s apparmor_parser: Unable to replace "lsb_release". apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 152s 152s apparmor_parser: Unable to replace "kmod". apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 152s 152s apparmor_parser: Unable to replace "nvidia_modprobe". apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 152s 153s sysctl: cannot stat /proc/sys/kernel/apparmor_restrict_unprivileged_userns: No such file or directory 153s Reloading AppArmor profiles 153s /sbin/apparmor_parser: Unable to replace "1password". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "Discord". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "MongoDB Compass". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "QtWebEngineProcess". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "brave". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "buildah". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "busybox". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "cam". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "ch-checkns". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "ch-run". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "chrome". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "vscode". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "crun". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "devhelp". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "element-desktop". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "epiphany". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "evolution". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "firefox". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "flatpak". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "geary". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "github-desktop". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "goldendict". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "ipa_verify". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "kchmviewer". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "keybase". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "lc-compliance". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "libcamerify". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "linux-sandbox". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "loupe". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "lxc-attach". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "lxc-create". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "lxc-destroy". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "lxc-execute". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "lxc-stop". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "lxc-unshare". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "lxc-usernsexec". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "mmdebstrap". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "nautilus". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "notepadqq". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "msedge". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "obsidian". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "opera". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "opam". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "podman". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "pageedit". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "QtWebEngineProcess". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "plasmashell". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "polypane". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "qmapshack". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "privacybrowser". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "qcam". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "qutebrowser". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "rpm". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "rssguard". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "rootlesskit". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "lsb_release". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "sbuild". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "runc". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "sbuild-apt". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "sbuild-adduser". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "sbuild-checkpackages". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "sbuild-createchroot". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "sbuild-destroychroot". /sbin/apparmor_parser: Unable to replace "sbuild-abort". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "sbuild-clean". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "sbuild-distupgrade". /sbin/apparmor_parser: Unable to replace "sbuild-shell". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "sbuild-update". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "sbuild-upgrade". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "sbuild-hold". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "sbuild-unhold". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "scide". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "kmod". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "nvidia_modprobe". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "signal-desktop". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "slirp4netns". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "slack". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "steam". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "stress-ng". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "surfshark". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "systemd-coredump". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "thunderbird". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "toybox". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "trinity". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "tup". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "tuxedo-control-center". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "userbindmount". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "unprivileged_userns". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "vdens". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "vivaldi-bin". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "vpnns". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "wpcom". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "uwsgi-core". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "virtiofsd". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "unix-chkpwd". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "rsyslogd". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "/usr/bin/man". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "ubuntu_pro_apt_news". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s /sbin/apparmor_parser: Unable to replace "tcpdump". /sbin/apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 153s 153s Error: At least one profile failed to load 153s Setting up libglib2.0-0t64:armhf (2.79.3-3ubuntu5) ... 153s No schema files found: doing nothing. 153s Setting up libglib2.0-data (2.79.3-3ubuntu5) ... 153s Setting up vim-common (2:9.1.0016-1ubuntu6) ... 153s Setting up gcc-13-base:armhf (13.2.0-21ubuntu1) ... 153s Setting up libqrtr-glib0:armhf (1.2.2-1ubuntu3) ... 153s Setting up libslang2:armhf (2.3.3-3build1) ... 153s Setting up libnvme1t64 (1.8-3) ... 153s Setting up mtr-tiny (0.95-1.1build1) ... 153s Setting up gnupg-l10n (2.4.4-2ubuntu15) ... 153s Setting up librtmp1:armhf (2.4+20151223.gitfa8646d.1-2build6) ... 153s Setting up libdbus-1-3:armhf (1.14.10-4ubuntu2) ... 153s Setting up xz-utils (5.6.0-0.2) ... 153s Setting up perl-modules-5.38 (5.38.2-3.2) ... 153s Setting up libproc2-0:armhf (2:4.0.4-4ubuntu2) ... 153s Setting up libblockdev-utils3:armhf (3.1.0-1build1) ... 153s Setting up libpng16-16t64:armhf (1.6.43-3) ... 153s Setting up systemd-timesyncd (255.4-1ubuntu5) ... 153s Setting up libevent-core-2.1-7:armhf (2.1.12-stable-9build1) ... 153s Setting up udev (255.4-1ubuntu5) ... 154s Setting up libss2:armhf (1.47.0-2.4~exp1ubuntu2) ... 154s Setting up usb.ids (2024.03.18-1) ... 154s Setting up sudo (1.9.15p5-3ubuntu3) ... 154s Setting up dhcpcd-base (1:10.0.6-1ubuntu2) ... 154s Setting up gir1.2-glib-2.0:armhf (2.79.3-3ubuntu5) ... 154s Setting up libk5crypto3:armhf (1.20.1-6ubuntu1) ... 154s Setting up logsave (1.47.0-2.4~exp1ubuntu2) ... 154s Setting up libfdisk1:armhf (2.39.3-9ubuntu2) ... 154s Setting up libdb5.3t64:armhf (5.3.28+dfsg2-6) ... 154s Setting up libblockdev-nvme3:armhf (3.1.0-1build1) ... 154s Setting up libdevmapper1.02.1:armhf (2:1.02.185-3ubuntu2) ... 154s Setting up libblockdev-fs3:armhf (3.1.0-1build1) ... 154s Setting up python-apt-common (2.7.7) ... 154s Setting up mount (2.39.3-9ubuntu2) ... 154s Setting up dmsetup (2:1.02.185-3ubuntu2) ... 154s Setting up uuid-runtime (2.39.3-9ubuntu2) ... 155s uuidd.service is a disabled or a static unit not running, not starting it. 155s Setting up libmm-glib0:armhf (1.23.4-0ubuntu1) ... 155s Setting up groff-base (1.23.0-3build1) ... 155s Setting up libplymouth5:armhf (24.004.60-1ubuntu6) ... 155s Setting up dbus-session-bus-common (1.14.10-4ubuntu2) ... 155s Setting up kpartx (0.9.4-5ubuntu6) ... 155s Setting up jq (1.7.1-3) ... 155s Setting up procps (2:4.0.4-4ubuntu2) ... 156s Setting up gpgconf (2.4.4-2ubuntu15) ... 156s Setting up libpcap0.8t64:armhf (1.10.4-4.1ubuntu2) ... 156s Setting up libcryptsetup12:armhf (2:2.7.0-1ubuntu2) ... 156s Setting up libgirepository-1.0-1:armhf (1.79.1-1ubuntu6) ... 156s Setting up libjson-glib-1.0-common (1.8.0-2build1) ... 156s Setting up libkrb5-3:armhf (1.20.1-6ubuntu1) ... 156s Setting up libpython3.11-minimal:armhf (3.11.8-1build4) ... 156s Setting up libusb-1.0-0:armhf (2:1.0.27-1) ... 156s Setting up libperl5.38t64:armhf (5.38.2-3.2) ... 156s Setting up tnftp (20230507-2build1) ... 156s Setting up libbinutils:armhf (2.42-4ubuntu1) ... 156s Setting up dbus-system-bus-common (1.14.10-4ubuntu2) ... 156s Setting up libfido2-1:armhf (1.14.0-1build1) ... 156s Setting up openssl (3.0.13-0ubuntu2) ... 156s Setting up readline-common (8.2-4) ... 156s Setting up libxml2:armhf (2.9.14+dfsg-1.3ubuntu2) ... 156s Setting up libxmuu1:armhf (2:1.1.3-3build1) ... 156s Setting up dbus-bin (1.14.10-4ubuntu2) ... 156s Setting up info (7.1-3build1) ... 156s Setting up liblocale-gettext-perl (1.07-6ubuntu4) ... 156s Setting up gpg (2.4.4-2ubuntu15) ... 156s Setting up libgudev-1.0-0:armhf (1:238-3ubuntu2) ... 156s Setting up libpolkit-gobject-1-0:armhf (124-1ubuntu1) ... 156s Setting up libbpf1:armhf (1:1.3.0-2build1) ... 156s Setting up libmbim-glib4:armhf (1.31.2-0ubuntu2) ... 156s Setting up rsync (3.2.7-1build1) ... 156s rsync.service is a disabled or a static unit not running, not starting it. 156s Setting up libudisks2-0:armhf (2.10.1-6) ... 156s Setting up bolt (0.9.6-2build1) ... 157s bolt.service is a disabled or a static unit not running, not starting it. 157s Setting up gnupg-utils (2.4.4-2ubuntu15) ... 157s Setting up initramfs-tools-bin (0.142ubuntu23) ... 157s Setting up libctf0:armhf (2.42-4ubuntu1) ... 157s Setting up cryptsetup-bin (2:2.7.0-1ubuntu2) ... 157s Setting up python3.11-minimal (3.11.8-1build4) ... 158s Setting up tcpdump (4.99.4-3ubuntu2) ... 158s apparmor_parser: Unable to replace "tcpdump". apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 158s 158s Setting up apt-utils (2.7.14) ... 158s Setting up gpg-agent (2.4.4-2ubuntu15) ... 158s Setting up libpython3.12-stdlib:armhf (3.12.2-4build3) ... 158s Setting up libblockdev-mdraid3:armhf (3.1.0-1build1) ... 158s Setting up wget (1.21.4-1ubuntu2) ... 158s Setting up libblockdev-swap3:armhf (3.1.0-1build1) ... 158s Setting up plymouth (24.004.60-1ubuntu6) ... 158s update-rc.d: warning: start and stop actions are no longer supported; falling back to defaults 159s update-rc.d: warning: start and stop actions are no longer supported; falling back to defaults 159s Setting up libxmlb2:armhf (0.3.15-1build1) ... 159s Setting up btrfs-progs (6.6.3-1.1build1) ... 159s Setting up libpython3.11-stdlib:armhf (3.11.8-1build4) ... 159s Setting up python3.12 (3.12.2-4build3) ... 160s Setting up libblockdev-loop3:armhf (3.1.0-1build1) ... 160s Setting up gpgsm (2.4.4-2ubuntu15) ... 160s Setting up inetutils-telnet (2:2.5-3ubuntu3) ... 160s Setting up e2fsprogs (1.47.0-2.4~exp1ubuntu2) ... 160s update-initramfs: deferring update (trigger activated) 161s e2scrub_all.service is a disabled or a static unit not running, not starting it. 161s Setting up libparted2t64:armhf (3.6-3.1build2) ... 161s Setting up linux-headers-generic (6.8.0-20.20+1) ... 161s Setting up dbus-daemon (1.14.10-4ubuntu2) ... 161s Setting up libmbim-proxy (1.31.2-0ubuntu2) ... 161s Setting up vim-tiny (2:9.1.0016-1ubuntu6) ... 161s Setting up libnetplan1:armhf (1.0-1) ... 161s Setting up man-db (2.12.0-3build4) ... 161s Updating database of manual pages ... 162s apparmor_parser: Unable to replace "/usr/bin/man". apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 162s 163s man-db.service is a disabled or a static unit not running, not starting it. 163s Setting up libblockdev3:armhf (3.1.0-1build1) ... 163s Setting up fdisk (2.39.3-9ubuntu2) ... 163s Setting up libjson-glib-1.0-0:armhf (1.8.0-2build1) ... 163s Setting up libblockdev-part3:armhf (3.1.0-1build1) ... 163s Setting up libsasl2-modules-db:armhf (2.1.28+dfsg1-5ubuntu1) ... 163s Setting up libftdi1-2:armhf (1.5-6build4) ... 163s Setting up perl (5.38.2-3.2) ... 163s Setting up plymouth-theme-ubuntu-text (24.004.60-1ubuntu6) ... 163s update-initramfs: deferring update (trigger activated) 163s Setting up gir1.2-girepository-2.0:armhf (1.79.1-1ubuntu6) ... 163s Setting up dbus (1.14.10-4ubuntu2) ... 163s A reboot is required to replace the running dbus-daemon. 163s Please reboot the system when convenient. 163s Setting up shared-mime-info (2.4-1build1) ... 164s Setting up libgssapi-krb5-2:armhf (1.20.1-6ubuntu1) ... 164s Setting up ftp (20230507-2build1) ... 164s Setting up keyboxd (2.4.4-2ubuntu15) ... 164s Setting up libdpkg-perl (1.22.6ubuntu4) ... 164s Setting up libsasl2-2:armhf (2.1.28+dfsg1-5ubuntu1) ... 164s Setting up libssh-4:armhf (0.10.6-2build1) ... 164s Setting up libpam-systemd:armhf (255.4-1ubuntu5) ... 164s Setting up libpolkit-agent-1-0:armhf (124-1ubuntu1) ... 164s Setting up libgpgme11t64:armhf (1.18.0-4.1ubuntu3) ... 164s Setting up netplan-generator (1.0-1) ... 164s Removing 'diversion of /lib/systemd/system-generators/netplan to /lib/systemd/system-generators/netplan.usr-is-merged by netplan-generator' 164s Setting up initramfs-tools-core (0.142ubuntu23) ... 164s Setting up binutils-arm-linux-gnueabihf (2.42-4ubuntu1) ... 164s Setting up libarchive13t64:armhf (3.7.2-1.1ubuntu2) ... 164s Setting up libldap2:armhf (2.6.7+dfsg-1~exp1ubuntu6) ... 164s Setting up libpython3-stdlib:armhf (3.12.2-0ubuntu1) ... 164s Setting up systemd-resolved (255.4-1ubuntu5) ... 164s Setting up python3.11 (3.11.8-1build4) ... 165s Setting up telnet (0.17+2.5-3ubuntu3) ... 165s Setting up initramfs-tools (0.142ubuntu23) ... 165s update-initramfs: deferring update (trigger activated) 166s Setting up libcurl4t64:armhf (8.5.0-2ubuntu8) ... 166s Setting up bind9-libs:armhf (1:9.18.24-0ubuntu3) ... 166s Setting up libtirpc3t64:armhf (1.3.4+ds-1.1) ... 166s Setting up e2fsprogs-l10n (1.47.0-2.4~exp1ubuntu2) ... 166s Setting up iproute2 (6.1.0-1ubuntu5) ... 166s Setting up openssh-client (1:9.6p1-3ubuntu11) ... 166s Setting up libgusb2:armhf (0.4.8-1build1) ... 166s Setting up libcurl3t64-gnutls:armhf (8.5.0-2ubuntu8) ... 166s Setting up parted (3.6-3.1build2) ... 166s Setting up libqmi-glib5:armhf (1.35.2-0ubuntu1) ... 166s Setting up python3 (3.12.2-0ubuntu1) ... 166s Setting up binutils (2.42-4ubuntu1) ... 166s Setting up libjcat1:armhf (0.2.0-2build2) ... 166s Setting up dpkg-dev (1.22.6ubuntu4) ... 166s Setting up dirmngr (2.4.4-2ubuntu15) ... 166s Setting up dbus-user-session (1.14.10-4ubuntu2) ... 166s Setting up python3-cryptography (41.0.7-4build2) ... 167s Setting up python3-gi (3.47.0-3build1) ... 167s Setting up python3-typing-extensions (4.10.0-1) ... 167s Setting up lsof (4.95.0-1build2) ... 167s Setting up python3-pyrsistent:armhf (0.20.0-1build1) ... 167s Setting up libnsl2:armhf (1.3.0-3build2) ... 167s Setting up gnupg (2.4.4-2ubuntu15) ... 167s Setting up python3-netplan (1.0-1) ... 167s Setting up curl (8.5.0-2ubuntu8) ... 167s Setting up libvolume-key1:armhf (0.3.12-7build1) ... 167s Setting up bind9-host (1:9.18.24-0ubuntu3) ... 167s Setting up python3-lib2to3 (3.12.2-3ubuntu1.1) ... 167s Setting up python3-pkg-resources (68.1.2-2ubuntu1) ... 168s Setting up python3-distutils (3.12.2-3ubuntu1.1) ... 168s python3.12: can't get files for byte-compilation 168s Setting up openssh-sftp-server (1:9.6p1-3ubuntu11) ... 168s Setting up python3-dbus (1.3.2-5build2) ... 168s Setting up python3-setuptools (68.1.2-2ubuntu1) ... 169s Setting up gpg-wks-client (2.4.4-2ubuntu15) ... 169s Setting up openssh-server (1:9.6p1-3ubuntu11) ... 169s Replacing config file /etc/ssh/sshd_config with new version 170s Created symlink /etc/systemd/system/ssh.service.requires/ssh.socket → /usr/lib/systemd/system/ssh.socket. 172s Setting up libblockdev-crypto3:armhf (3.1.0-1build1) ... 172s Setting up python3-gdbm:armhf (3.12.2-3ubuntu1.1) ... 172s Setting up python3-apt (2.7.7) ... 172s Setting up libfwupd2:armhf (1.9.15-2) ... 172s Setting up python3-yaml (6.0.1-2build1) ... 172s Setting up libqmi-proxy (1.35.2-0ubuntu1) ... 172s Setting up netplan.io (1.0-1) ... 172s Setting up bind9-dnsutils (1:9.18.24-0ubuntu3) ... 172s Setting up ubuntu-pro-client (31.2.2) ... 172s apparmor_parser: Unable to replace "ubuntu_pro_apt_news". apparmor_parser: Access denied. You need policy admin privileges to manage profiles. 172s 174s Setting up fwupd (1.9.15-2) ... 174s fwupd-offline-update.service is a disabled or a static unit not running, not starting it. 174s fwupd-refresh.service is a disabled or a static unit not running, not starting it. 174s fwupd.service is a disabled or a static unit not running, not starting it. 174s Setting up ubuntu-pro-client-l10n (31.2.2) ... 174s Setting up udisks2 (2.10.1-6) ... 174s vda: Failed to write 'change' to '/sys/devices/pci0000:00/0000:00:01.3/0000:04:00.0/virtio2/block/vda/uevent': Permission denied 174s vda1: Failed to write 'change' to '/sys/devices/pci0000:00/0000:00:01.3/0000:04:00.0/virtio2/block/vda/vda1/uevent': Permission denied 174s vda15: Failed to write 'change' to '/sys/devices/pci0000:00/0000:00:01.3/0000:04:00.0/virtio2/block/vda/vda15/uevent': Permission denied 174s vda2: Failed to write 'change' to '/sys/devices/pci0000:00/0000:00:01.3/0000:04:00.0/virtio2/block/vda/vda2/uevent': Permission denied 174s loop0: Failed to write 'change' to '/sys/devices/virtual/block/loop0/uevent': Permission denied 174s loop1: Failed to write 'change' to '/sys/devices/virtual/block/loop1/uevent': Permission denied 174s loop2: Failed to write 'change' to '/sys/devices/virtual/block/loop2/uevent': Permission denied 174s loop3: Failed to write 'change' to '/sys/devices/virtual/block/loop3/uevent': Permission denied 174s loop4: Failed to write 'change' to '/sys/devices/virtual/block/loop4/uevent': Permission denied 174s loop5: Failed to write 'change' to '/sys/devices/virtual/block/loop5/uevent': Permission denied 174s loop6: Failed to write 'change' to '/sys/devices/virtual/block/loop6/uevent': Permission denied 174s loop7: Failed to write 'change' to '/sys/devices/virtual/block/loop7/uevent': Permission denied 175s Processing triggers for ufw (0.36.2-5) ... 175s Processing triggers for systemd (255.4-1ubuntu5) ... 175s Processing triggers for install-info (7.1-3build1) ... 175s Processing triggers for libc-bin (2.39-0ubuntu6) ... 175s Processing triggers for initramfs-tools (0.142ubuntu23) ... 176s Reading package lists... 177s Building dependency tree... 177s Reading state information... 178s The following packages will be REMOVED: 178s linux-headers-6.8.0-11* python3-distutils* python3-lib2to3* 178s 0 upgraded, 0 newly installed, 3 to remove and 1 not upgraded. 178s After this operation, 86.5 MB disk space will be freed. 178s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 78647 files and directories currently installed.) 178s Removing linux-headers-6.8.0-11 (6.8.0-11.11) ... 179s Removing python3-distutils (3.12.2-3ubuntu1.1) ... 179s Removing python3-lib2to3 (3.12.2-3ubuntu1.1) ... 181s autopkgtest [12:38:52]: rebooting testbed after setup commands that affected boot 219s autopkgtest [12:39:30]: testbed running kernel: Linux 5.15.0-101-generic #111-Ubuntu SMP Wed Mar 6 18:01:01 UTC 2024 244s autopkgtest [12:39:55]: @@@@@@@@@@@@@@@@@@@@ apt-source r-cran-rrcov 254s Get:1 http://ftpmaster.internal/ubuntu noble/universe r-cran-rrcov 1.7-5-1 (dsc) [2146 B] 254s Get:2 http://ftpmaster.internal/ubuntu noble/universe r-cran-rrcov 1.7-5-1 (tar) [1563 kB] 254s Get:3 http://ftpmaster.internal/ubuntu noble/universe r-cran-rrcov 1.7-5-1 (diff) [3124 B] 254s gpgv: Signature made Thu Feb 1 16:08:31 2024 UTC 254s gpgv: using RSA key F1F007320A035541F0A663CA578A0494D1C646D1 254s gpgv: issuer "tille@debian.org" 254s gpgv: Can't check signature: No public key 254s dpkg-source: warning: cannot verify inline signature for ./r-cran-rrcov_1.7-5-1.dsc: no acceptable signature found 254s autopkgtest [12:40:05]: testing package r-cran-rrcov version 1.7-5-1 256s autopkgtest [12:40:07]: build not needed 259s autopkgtest [12:40:10]: test run-unit-test: preparing testbed 269s Reading package lists... 269s Building dependency tree... 269s Reading state information... 270s Starting pkgProblemResolver with broken count: 0 270s Starting 2 pkgProblemResolver with broken count: 0 270s Done 271s The following additional packages will be installed: 271s fontconfig fontconfig-config fonts-dejavu-core fonts-dejavu-mono libblas3 271s libcairo2 libdatrie1 libdeflate0 libfontconfig1 libfreetype6 libgfortran5 271s libgomp1 libgraphite2-3 libharfbuzz0b libice6 libjbig0 libjpeg-turbo8 271s libjpeg8 liblapack3 liblerc4 libpango-1.0-0 libpangocairo-1.0-0 271s libpangoft2-1.0-0 libpaper-utils libpaper1 libpixman-1-0 libsharpyuv0 libsm6 271s libtcl8.6 libthai-data libthai0 libtiff6 libtk8.6 libwebp7 libxcb-render0 271s libxcb-shm0 libxft2 libxrender1 libxss1 libxt6t64 r-base-core 271s r-cran-deoptimr r-cran-lattice r-cran-mass r-cran-mvtnorm r-cran-pcapp 271s r-cran-robustbase r-cran-rrcov unzip x11-common xdg-utils zip 271s Suggested packages: 271s tcl8.6 tk8.6 elpa-ess r-doc-info | r-doc-pdf r-mathlib r-base-html 271s Recommended packages: 271s r-recommended r-base-dev r-doc-html libfile-mimeinfo-perl libnet-dbus-perl 271s libx11-protocol-perl x11-utils x11-xserver-utils 271s The following NEW packages will be installed: 271s autopkgtest-satdep fontconfig fontconfig-config fonts-dejavu-core 271s fonts-dejavu-mono libblas3 libcairo2 libdatrie1 libdeflate0 libfontconfig1 271s libfreetype6 libgfortran5 libgomp1 libgraphite2-3 libharfbuzz0b libice6 271s libjbig0 libjpeg-turbo8 libjpeg8 liblapack3 liblerc4 libpango-1.0-0 271s libpangocairo-1.0-0 libpangoft2-1.0-0 libpaper-utils libpaper1 libpixman-1-0 271s libsharpyuv0 libsm6 libtcl8.6 libthai-data libthai0 libtiff6 libtk8.6 271s libwebp7 libxcb-render0 libxcb-shm0 libxft2 libxrender1 libxss1 libxt6t64 271s r-base-core r-cran-deoptimr r-cran-lattice r-cran-mass r-cran-mvtnorm 271s r-cran-pcapp r-cran-robustbase r-cran-rrcov unzip x11-common xdg-utils zip 271s 0 upgraded, 53 newly installed, 0 to remove and 1 not upgraded. 271s Need to get 44.9 MB/44.9 MB of archives. 271s After this operation, 76.4 MB of additional disk space will be used. 271s Get:1 /tmp/autopkgtest.TSBqIV/1-autopkgtest-satdep.deb autopkgtest-satdep armhf 0 [712 B] 271s Get:2 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libfreetype6 armhf 2.13.2+dfsg-1build2 [331 kB] 271s Get:3 http://ftpmaster.internal/ubuntu noble/main armhf fonts-dejavu-mono all 2.37-8 [502 kB] 271s Get:4 http://ftpmaster.internal/ubuntu noble/main armhf fonts-dejavu-core all 2.37-8 [835 kB] 271s Get:5 http://ftpmaster.internal/ubuntu noble-proposed/main armhf fontconfig-config armhf 2.15.0-1.1ubuntu1 [37.4 kB] 271s Get:6 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libfontconfig1 armhf 2.15.0-1.1ubuntu1 [113 kB] 271s Get:7 http://ftpmaster.internal/ubuntu noble-proposed/main armhf fontconfig armhf 2.15.0-1.1ubuntu1 [189 kB] 271s Get:8 http://ftpmaster.internal/ubuntu noble/main armhf libblas3 armhf 3.12.0-3 [123 kB] 271s Get:9 http://ftpmaster.internal/ubuntu noble/main armhf libpixman-1-0 armhf 0.42.2-1 [184 kB] 271s Get:10 http://ftpmaster.internal/ubuntu noble/main armhf libxcb-render0 armhf 1.15-1 [15.2 kB] 271s Get:11 http://ftpmaster.internal/ubuntu noble/main armhf libxcb-shm0 armhf 1.15-1 [5852 B] 271s Get:12 http://ftpmaster.internal/ubuntu noble/main armhf libxrender1 armhf 1:0.9.10-1.1 [16.5 kB] 271s Get:13 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libcairo2 armhf 1.18.0-1ubuntu1 [482 kB] 271s Get:14 http://ftpmaster.internal/ubuntu noble/main armhf libdatrie1 armhf 0.2.13-3 [16.9 kB] 271s Get:15 http://ftpmaster.internal/ubuntu noble/main armhf libdeflate0 armhf 1.19-1 [41.3 kB] 271s Get:16 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libgfortran5 armhf 14-20240315-1ubuntu1 [312 kB] 272s Get:17 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libgomp1 armhf 14-20240315-1ubuntu1 [125 kB] 272s Get:18 http://ftpmaster.internal/ubuntu noble/main armhf libgraphite2-3 armhf 1.3.14-2 [72.7 kB] 272s Get:19 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libharfbuzz0b armhf 8.3.0-2build1 [446 kB] 272s Get:20 http://ftpmaster.internal/ubuntu noble/main armhf x11-common all 1:7.7+23ubuntu2 [23.4 kB] 272s Get:21 http://ftpmaster.internal/ubuntu noble/main armhf libice6 armhf 2:1.0.10-1build2 [36.4 kB] 272s Get:22 http://ftpmaster.internal/ubuntu noble/main armhf libjpeg-turbo8 armhf 2.1.5-2ubuntu1 [123 kB] 272s Get:23 http://ftpmaster.internal/ubuntu noble/main armhf libjpeg8 armhf 8c-2ubuntu11 [2148 B] 272s Get:24 http://ftpmaster.internal/ubuntu noble/main armhf liblapack3 armhf 3.12.0-3 [2085 kB] 272s Get:25 http://ftpmaster.internal/ubuntu noble/main armhf liblerc4 armhf 4.0.0+ds-4ubuntu1 [152 kB] 272s Get:26 http://ftpmaster.internal/ubuntu noble/main armhf libthai-data all 0.1.29-2 [158 kB] 272s Get:27 http://ftpmaster.internal/ubuntu noble/main armhf libthai0 armhf 0.1.29-2 [15.1 kB] 272s Get:28 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libpango-1.0-0 armhf 1.52.1+ds-1 [206 kB] 272s Get:29 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libpangoft2-1.0-0 armhf 1.52.1+ds-1 [36.4 kB] 272s Get:30 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libpangocairo-1.0-0 armhf 1.52.1+ds-1 [24.9 kB] 272s Get:31 http://ftpmaster.internal/ubuntu noble/main armhf libpaper1 armhf 1.1.29 [12.5 kB] 272s Get:32 http://ftpmaster.internal/ubuntu noble/main armhf libpaper-utils armhf 1.1.29 [8170 B] 272s Get:33 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libsharpyuv0 armhf 1.3.2-0.4build2 [13.6 kB] 272s Get:34 http://ftpmaster.internal/ubuntu noble/main armhf libsm6 armhf 2:1.2.3-1build2 [15.1 kB] 272s Get:35 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libtcl8.6 armhf 8.6.14+dfsg-1 [903 kB] 272s Get:36 http://ftpmaster.internal/ubuntu noble/main armhf libjbig0 armhf 2.1-6.1ubuntu1 [24.9 kB] 272s Get:37 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libwebp7 armhf 1.3.2-0.4build2 [183 kB] 272s Get:38 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libtiff6 armhf 4.5.1+git230720-4ubuntu1 [178 kB] 272s Get:39 http://ftpmaster.internal/ubuntu noble/main armhf libxft2 armhf 2.3.6-1 [36.8 kB] 272s Get:40 http://ftpmaster.internal/ubuntu noble/main armhf libxss1 armhf 1:1.2.3-1build2 [7580 B] 272s Get:41 http://ftpmaster.internal/ubuntu noble/main armhf libtk8.6 armhf 8.6.14-1 [681 kB] 272s Get:42 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libxt6t64 armhf 1:1.2.1-1.2 [145 kB] 272s Get:43 http://ftpmaster.internal/ubuntu noble/main armhf zip armhf 3.0-13 [162 kB] 272s Get:44 http://ftpmaster.internal/ubuntu noble/main armhf unzip armhf 6.0-28ubuntu3 [163 kB] 272s Get:45 http://ftpmaster.internal/ubuntu noble/main armhf xdg-utils all 1.1.3-4.1ubuntu3 [62.0 kB] 272s Get:46 http://ftpmaster.internal/ubuntu noble-proposed/universe armhf r-base-core armhf 4.3.3-2build1 [26.6 MB] 273s Get:47 http://ftpmaster.internal/ubuntu noble/universe armhf r-cran-deoptimr all 1.1-3-1 [74.4 kB] 273s Get:48 http://ftpmaster.internal/ubuntu noble/universe armhf r-cran-lattice armhf 0.22-5-1 [1341 kB] 273s Get:49 http://ftpmaster.internal/ubuntu noble/universe armhf r-cran-mass armhf 7.3-60.0.1-1 [1118 kB] 274s Get:50 http://ftpmaster.internal/ubuntu noble/universe armhf r-cran-mvtnorm armhf 1.2-4-1 [719 kB] 274s Get:51 http://ftpmaster.internal/ubuntu noble/universe armhf r-cran-pcapp armhf 2.0-4-1 [357 kB] 274s Get:52 http://ftpmaster.internal/ubuntu noble/universe armhf r-cran-robustbase armhf 0.99-2-1 [3011 kB] 274s Get:53 http://ftpmaster.internal/ubuntu noble/universe armhf r-cran-rrcov armhf 1.7-5-1 [2389 kB] 274s Preconfiguring packages ... 274s Fetched 44.9 MB in 3s (14.5 MB/s) 274s Selecting previously unselected package libfreetype6:armhf. 274s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 58436 files and directories currently installed.) 274s Preparing to unpack .../00-libfreetype6_2.13.2+dfsg-1build2_armhf.deb ... 274s Unpacking libfreetype6:armhf (2.13.2+dfsg-1build2) ... 274s Selecting previously unselected package fonts-dejavu-mono. 274s Preparing to unpack .../01-fonts-dejavu-mono_2.37-8_all.deb ... 274s Unpacking fonts-dejavu-mono (2.37-8) ... 274s Selecting previously unselected package fonts-dejavu-core. 274s Preparing to unpack .../02-fonts-dejavu-core_2.37-8_all.deb ... 274s Unpacking fonts-dejavu-core (2.37-8) ... 274s Selecting previously unselected package fontconfig-config. 274s Preparing to unpack .../03-fontconfig-config_2.15.0-1.1ubuntu1_armhf.deb ... 275s Unpacking fontconfig-config (2.15.0-1.1ubuntu1) ... 275s Selecting previously unselected package libfontconfig1:armhf. 275s Preparing to unpack .../04-libfontconfig1_2.15.0-1.1ubuntu1_armhf.deb ... 275s Unpacking libfontconfig1:armhf (2.15.0-1.1ubuntu1) ... 275s Selecting previously unselected package fontconfig. 275s Preparing to unpack .../05-fontconfig_2.15.0-1.1ubuntu1_armhf.deb ... 275s Unpacking fontconfig (2.15.0-1.1ubuntu1) ... 275s Selecting previously unselected package libblas3:armhf. 275s Preparing to unpack .../06-libblas3_3.12.0-3_armhf.deb ... 275s Unpacking libblas3:armhf (3.12.0-3) ... 275s Selecting previously unselected package libpixman-1-0:armhf. 275s Preparing to unpack .../07-libpixman-1-0_0.42.2-1_armhf.deb ... 275s Unpacking libpixman-1-0:armhf (0.42.2-1) ... 275s Selecting previously unselected package libxcb-render0:armhf. 275s Preparing to unpack .../08-libxcb-render0_1.15-1_armhf.deb ... 275s Unpacking libxcb-render0:armhf (1.15-1) ... 275s Selecting previously unselected package libxcb-shm0:armhf. 275s Preparing to unpack .../09-libxcb-shm0_1.15-1_armhf.deb ... 275s Unpacking libxcb-shm0:armhf (1.15-1) ... 275s Selecting previously unselected package libxrender1:armhf. 275s Preparing to unpack .../10-libxrender1_1%3a0.9.10-1.1_armhf.deb ... 275s Unpacking libxrender1:armhf (1:0.9.10-1.1) ... 275s Selecting previously unselected package libcairo2:armhf. 275s Preparing to unpack .../11-libcairo2_1.18.0-1ubuntu1_armhf.deb ... 275s Unpacking libcairo2:armhf (1.18.0-1ubuntu1) ... 275s Selecting previously unselected package libdatrie1:armhf. 275s Preparing to unpack .../12-libdatrie1_0.2.13-3_armhf.deb ... 275s Unpacking libdatrie1:armhf (0.2.13-3) ... 275s Selecting previously unselected package 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libpangocairo-1.0-0:armhf (1.52.1+ds-1) ... 280s Setting up r-base-core (4.3.3-2build1) ... 280s 280s Creating config file /etc/R/Renviron with new version 280s Setting up r-cran-lattice (0.22-5-1) ... 280s Setting up r-cran-deoptimr (1.1-3-1) ... 280s Setting up r-cran-mass (7.3-60.0.1-1) ... 280s Setting up r-cran-mvtnorm (1.2-4-1) ... 280s Setting up r-cran-robustbase (0.99-2-1) ... 280s Setting up r-cran-pcapp (2.0-4-1) ... 280s Setting up r-cran-rrcov (1.7-5-1) ... 280s Setting up autopkgtest-satdep (0) ... 280s Processing triggers for man-db (2.12.0-3build4) ... 280s Processing triggers for install-info (7.1-3build1) ... 281s Processing triggers for libc-bin (2.39-0ubuntu6) ... 297s (Reading database ... 60876 files and directories currently installed.) 297s Removing autopkgtest-satdep (0) ... 304s autopkgtest [12:40:55]: test run-unit-test: [----------------------- 305s BEGIN TEST thubert.R 306s 306s R version 4.3.3 (2024-02-29) -- "Angel Food Cake" 306s Copyright (C) 2024 The R Foundation for Statistical Computing 306s Platform: arm-unknown-linux-gnueabihf (32-bit) 306s 306s R is free software and comes with ABSOLUTELY NO WARRANTY. 306s You are welcome to redistribute it under certain conditions. 306s Type 'license()' or 'licence()' for distribution details. 306s 306s R is a collaborative project with many contributors. 306s Type 'contributors()' for more information and 306s 'citation()' on how to cite R or R packages in publications. 306s 306s Type 'demo()' for some demos, 'help()' for on-line help, or 306s 'help.start()' for an HTML browser interface to help. 306s Type 'q()' to quit R. 306s 306s > dodata <- function(nrep=1, time=FALSE, short=FALSE, full=TRUE, 306s + method=c("hubert", "hubert.mcd", "locantore", "cov", "classic", 306s + "grid", "proj")) 306s + { 306s + ## Test the PcaXxx() functions on the literature datasets: 306s + ## 306s + ## Call PcaHubert() and the other functions for all regression 306s + ## data sets available in robustbase/rrcov and print: 306s + ## - execution time (if time == TRUE) 306s + ## - loadings 306s + ## - eigenvalues 306s + ## - scores 306s + ## 306s + 306s + dopca <- function(x, xname, nrep=1){ 306s + 306s + n <- dim(x)[1] 306s + p <- dim(x)[2] 306s + if(method == "hubert.mcd") 306s + pca <- PcaHubert(x, k=p) 306s + else if(method == "hubert") 306s + pca <- PcaHubert(x, mcd=FALSE) 306s + else if(method == "locantore") 306s + pca <- PcaLocantore(x) 306s + else if(method == "cov") 306s + pca <- PcaCov(x) 306s + else if(method == "classic") 306s + pca <- PcaClassic(x) 306s + else if(method == "grid") 306s + pca <- PcaGrid(x) 306s + else if(method == "proj") 306s + pca <- PcaProj(x) 306s + else 306s + stop("Undefined PCA method: ", method) 306s + 306s + 306s + e1 <- getEigenvalues(pca)[1] 306s + e2 <- getEigenvalues(pca)[2] 306s + k <- pca@k 306s + 306s + if(time){ 306s + xtime <- system.time(dorep(x, nrep, method))[1]/nrep 306s + xres <- sprintf("%3d %3d %3d %12.6f %12.6f %10.3f\n", dim(x)[1], dim(x)[2], k, e1, e2, xtime) 306s + } 306s + else{ 306s + xres <- sprintf("%3d %3d %3d %12.6f %12.6f\n", dim(x)[1], dim(x)[2], k, e1, e2) 306s + } 306s + lpad<-lname-nchar(xname) 306s + cat(pad.right(xname, lpad), xres) 306s + 306s + if(!short){ 306s + cat("Scores: \n") 306s + print(getScores(pca)) 306s + 306s + if(full){ 306s + cat("-------------\n") 306s + show(pca) 306s + } 306s + cat("----------------------------------------------------------\n") 306s + } 306s + } 306s + 306s + stopifnot(length(nrep) == 1, nrep >= 1) 306s + method <- match.arg(method) 306s + 306s + options(digits = 5) 306s + set.seed(101) # <<-- sub-sampling algorithm now based on R's RNG and seed 306s + 306s + lname <- 20 306s + 306s + ## VT::15.09.2013 - this will render the output independent 306s + ## from the version of the package 306s + suppressPackageStartupMessages(library(rrcov)) 306s + 306s + data(Animals, package = "MASS") 306s + brain <- Animals[c(1:24, 26:25, 27:28),] 306s + 306s + tmp <- sys.call() 306s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 306s + 306s + cat("Data Set n p k e1 e2\n") 306s + cat("==========================================================\n") 306s + dopca(heart[, 1:2], data(heart), nrep) 306s + dopca(starsCYG, data(starsCYG), nrep) 306s + dopca(data.matrix(subset(phosphor, select = -plant)), data(phosphor), nrep) 306s + dopca(stack.x, data(stackloss), nrep) 306s + ## dopca(data.matrix(subset(coleman, select = -Y)), data(coleman), nrep) # differences between the architectures 306s + dopca(data.matrix(subset(salinity, select = -Y)), data(salinity), nrep) 306s + ## dopca(data.matrix(subset(wood, select = -y)), data(wood), nrep) # differences between the architectures 306s + dopca(data.matrix(subset(hbk, select = -Y)),data(hbk), nrep) 306s + 306s + ## dopca(brain, "Animals", nrep) 306s + dopca(milk, data(milk), nrep) 306s + dopca(bushfire, data(bushfire), nrep) 306s + cat("==========================================================\n") 306s + } 306s > 306s > dogen <- function(nrep=1, eps=0.49, method=c("hubert", "hubert.mcd", "locantore", "cov")){ 306s + 306s + dopca <- function(x, nrep=1){ 306s + gc() 306s + xtime <- system.time(dorep(x, nrep, method))[1]/nrep 306s + cat(sprintf("%6d %3d %10.2f\n", dim(x)[1], dim(x)[2], xtime)) 306s + xtime 306s + } 306s + 306s + set.seed(1234) 306s + 306s + ## VT::15.09.2013 - this will render the output independent 306s + ## from the version of the package 306s + suppressPackageStartupMessages(library(rrcov)) 306s + library(MASS) 306s + 306s + method <- match.arg(method) 306s + 306s + ap <- c(2, 5, 10, 20, 30) 306s + an <- c(100, 500, 1000, 10000, 50000) 306s + 306s + tottime <- 0 306s + cat(" n p Time\n") 306s + cat("=====================\n") 306s + for(i in 1:length(an)) { 306s + for(j in 1:length(ap)) { 306s + n <- an[i] 306s + p <- ap[j] 306s + if(5*p <= n){ 306s + xx <- gendata(n, p, eps) 306s + X <- xx$X 306s + ## print(dimnames(X)) 306s + tottime <- tottime + dopca(X, nrep) 306s + } 306s + } 306s + } 306s + 306s + cat("=====================\n") 306s + cat("Total time: ", tottime*nrep, "\n") 306s + } 306s > 306s > dorep <- function(x, nrep=1, method=c("hubert", "hubert.mcd", "locantore", "cov")){ 306s + 306s + method <- match.arg(method) 306s + for(i in 1:nrep) 306s + if(method == "hubert.mcd") 306s + PcaHubert(x) 306s + else if(method == "hubert") 306s + PcaHubert(x, mcd=FALSE) 306s + else if(method == "locantore") 306s + PcaLocantore(x) 306s + else if(method == "cov") 306s + PcaCov(x) 306s + else 306s + stop("Undefined PCA method: ", method) 306s + } 306s > 306s > #### gendata() #### 306s > # Generates a location contaminated multivariate 306s > # normal sample of n observations in p dimensions 306s > # (1-eps)*Np(0,Ip) + eps*Np(m,Ip) 306s > # where 306s > # m = (b,b,...,b) 306s > # Defaults: eps=0 and b=10 306s > # 306s > gendata <- function(n,p,eps=0,b=10){ 306s + 306s + if(missing(n) || missing(p)) 306s + stop("Please specify (n,p)") 306s + if(eps < 0 || eps >= 0.5) 306s + stop(message="eps must be in [0,0.5)") 306s + X <- mvrnorm(n,rep(0,p),diag(1,nrow=p,ncol=p)) 306s + nbad <- as.integer(eps * n) 306s + xind <- vector("numeric") 306s + if(nbad > 0){ 306s + Xbad <- mvrnorm(nbad,rep(b,p),diag(1,nrow=p,ncol=p)) 306s + xind <- sample(n,nbad) 306s + X[xind,] <- Xbad 306s + } 306s + list(X=X, xind=xind) 306s + } 306s > 306s > pad.right <- function(z, pads) 306s + { 306s + ### Pads spaces to right of text 306s + padding <- paste(rep(" ", pads), collapse = "") 306s + paste(z, padding, sep = "") 306s + } 306s > 306s > whatis <- function(x){ 306s + if(is.data.frame(x)) 306s + cat("Type: data.frame\n") 306s + else if(is.matrix(x)) 306s + cat("Type: matrix\n") 306s + else if(is.vector(x)) 306s + cat("Type: vector\n") 306s + else 306s + cat("Type: don't know\n") 306s + } 306s > 306s > ################################################################# 306s > ## VT::27.08.2010 306s > ## bug report from Stephen Milborrow 306s > ## 306s > test.case.1 <- function() 306s + { 306s + X <- matrix(c( 306s + -0.79984, -1.00103, 0.899794, 0.00000, 306s + 0.34279, 0.52832, -1.303783, -1.17670, 306s + -0.79984, -1.00103, 0.899794, 0.00000, 306s + 0.34279, 0.52832, -1.303783, -1.17670, 306s + 0.34279, 0.52832, -1.303783, -1.17670, 306s + 1.48542, 0.66735, 0.716162, 1.17670, 306s + -0.79984, -1.00103, 0.899794, 0.00000, 306s + 1.69317, 1.91864, -0.018363, 1.76505, 306s + -1.00759, -0.16684, -0.385626, 0.58835, 306s + -0.79984, -1.00103, 0.899794, 0.00000), ncol=4, byrow=TRUE) 306s + 306s + cc1 <- PcaHubert(X, k=3) 306s + 306s + cc2 <- PcaLocantore(X, k=3) 306s + cc3 <- PcaCov(X, k=3, cov.control=CovControlSest()) 306s + 306s + cc4 <- PcaProj(X, k=2) # with k=3 will produce warnings in .distances - too small eignevalues 306s + cc5 <- PcaGrid(X, k=2) # dito 306s + 306s + list(cc1, cc2, cc3, cc4, cc5) 306s + } 306s > 306s > ################################################################# 306s > ## VT::05.08.2016 306s > ## bug report from Matthieu Lesnoff 306s > ## 306s > test.case.2 <- function() 306s + { 306s + do.test.case.2 <- function(z) 306s + { 306s + if(missing(z)) 306s + { 306s + set.seed(12345678) 306s + n <- 5 306s + z <- data.frame(v1 = rnorm(n), v2 = rnorm(n), v3 = rnorm(n)) 306s + z 306s + } 306s + 306s + fm <- PcaLocantore(z, k = 2, scale = TRUE) 306s + fm@scale 306s + apply(z, MARGIN = 2, FUN = mad) 306s + scale(z, center = fm@center, scale = fm@scale) 306s + 306s + T <- fm@scores 306s + P <- fm@loadings 306s + E <- scale(z, center = fm@center, scale = fm@scale) - T %*% t(P) 306s + d2 <- apply(E^2, MARGIN = 1, FUN = sum) 306s + ## print(sqrt(d2)); print(fm@od) 306s + print(ret <- all.equal(sqrt(d2), fm@od)) 306s + 306s + ret 306s + } 306s + do.test.case.2() 306s + do.test.case.2(phosphor) 306s + do.test.case.2(stackloss) 306s + do.test.case.2(salinity) 306s + do.test.case.2(hbk) 306s + do.test.case.2(milk) 306s + do.test.case.2(bushfire) 306s + data(rice); do.test.case.2(rice) 306s + data(un86); do.test.case.2(un86) 306s + } 306s > 306s > ## VT::15.09.2013 - this will render the output independent 306s > ## from the version of the package 306s > suppressPackageStartupMessages(library(rrcov)) 306s > 306s > dodata(method="classic") 306s 306s Call: dodata(method = "classic") 306s Data Set n p k e1 e2 306s ========================================================== 306s heart 12 2 2 812.379735 9.084962 306s Scores: 306s PC1 PC2 306s 1 2.7072 1.46576 306s 2 59.9990 -1.43041 306s 3 -3.5619 -1.54067 306s 4 -7.7696 2.52687 306s 5 14.7660 -0.95822 306s 6 -20.0489 6.91079 306s 7 1.4189 2.25961 306s 8 -34.3308 -4.23717 306s 9 -6.0487 -0.97859 306s 10 -33.0102 -3.73143 306s 11 -18.6372 0.25821 306s 12 44.5163 -0.54476 306s ------------- 306s Call: 306s PcaClassic(x = x) 306s 306s Standard deviations: 306s [1] 28.5023 3.0141 306s ---------------------------------------------------------- 306s starsCYG 47 2 2 0.331279 0.079625 306s Scores: 306s PC1 PC2 306s 1 0.2072999 0.089973 306s 2 0.6855999 0.349644 306s 3 -0.0743007 -0.061028 306s 4 0.6855999 0.349644 306s 5 0.1775161 0.015053 306s 6 0.4223986 0.211351 306s 7 -0.2926077 -0.516156 306s 8 0.2188453 0.293607 306s 9 0.5593696 0.028761 306s 10 0.0983878 0.074540 306s 11 0.8258140 -0.711176 306s 12 0.4167063 0.180244 306s 13 0.3799883 0.225541 306s 14 -0.9105236 -0.432014 306s 15 -0.7418831 -0.125322 306s 16 -0.4432862 0.048287 306s 17 -1.0503005 -0.229623 306s 18 -0.8393302 -0.007831 306s 19 -0.8126742 -0.195952 306s 20 0.9842316 -0.688729 306s 21 -0.6230699 -0.108486 306s 22 -0.7814875 -0.130933 306s 23 -0.6017038 0.025840 306s 24 -0.1857772 0.155474 306s 25 -0.0020261 0.070412 306s 26 -0.3640775 0.059510 306s 27 -0.3458392 -0.069204 306s 28 -0.1208393 0.053577 306s 29 -0.6033482 -0.176391 306s 30 1.1440521 -0.676183 306s 31 -0.5960920 -0.013765 306s 32 0.0519296 0.259855 306s 33 0.1861752 0.167779 306s 34 1.3802755 -0.632611 306s 35 -0.6542566 -0.173505 306s 36 0.5583690 0.392215 306s 37 0.0561384 0.230152 306s 38 0.1861752 0.167779 306s 39 0.1353472 0.241376 306s 40 0.5355195 0.197080 306s 41 -0.3980701 0.014294 306s 42 0.0277576 0.145332 306s 43 0.2979736 0.234120 306s 44 0.3049884 0.184614 306s 45 0.4889809 0.311684 306s 46 -0.0514512 0.134108 306s 47 -0.5224950 0.037063 306s ------------- 306s Call: 306s PcaClassic(x = x) 306s 306s Standard deviations: 306s [1] 0.57557 0.28218 306s ---------------------------------------------------------- 306s phosphor 18 2 2 220.403422 68.346121 306s Scores: 306s PC1 PC2 306s 1 4.04290 -15.3459 306s 2 -22.30489 -1.0004 306s 3 -24.52683 3.2836 306s 4 -12.54839 -6.0848 306s 5 -19.37044 2.2979 306s 6 15.20366 -19.9424 306s 7 0.44222 -3.1379 306s 8 -10.64042 3.6933 306s 9 -11.67967 5.9670 306s 10 14.26805 -7.0221 306s 11 -4.98832 1.5268 306s 12 8.74986 7.9379 306s 13 12.26290 6.0251 306s 14 6.27607 7.5768 306s 15 17.53246 3.1560 306s 16 -10.17024 -5.8994 306s 17 21.05826 5.4492 306s 18 16.39281 11.5191 306s ------------- 306s Call: 306s PcaClassic(x = x) 306s 306s Standard deviations: 306s [1] 14.8460 8.2672 306s ---------------------------------------------------------- 306s stackloss 21 3 3 99.576089 19.581136 306s Scores: 306s PC1 PC2 PC3 306s 1 20.15352 -4.359452 0.324585 306s 2 19.81554 -5.300468 0.308294 306s 3 15.45222 -1.599136 -0.203125 306s 4 2.40370 -0.145282 2.370302 306s 5 1.89538 0.070566 0.448061 306s 6 2.14954 -0.037358 1.409182 306s 7 4.43153 5.500810 2.468051 306s 8 4.43153 5.500810 2.468051 306s 9 -1.47521 1.245404 2.511773 306s 10 -5.11183 -4.802083 -2.407870 306s 11 -2.07009 3.667055 -2.261247 306s 12 -2.66223 2.833964 -3.238659 306s 13 -4.43589 -2.920053 -2.375287 306s 14 -0.46404 7.323193 -1.234961 306s 15 -9.31959 6.232579 -0.056064 306s 16 -10.33350 3.409533 -0.104938 306s 17 -14.81094 -9.872607 0.628103 306s 18 -12.44514 -3.285499 0.742143 306s 19 -11.85300 -2.452408 1.719555 306s 20 -5.73994 -2.494520 0.098250 306s 21 9.98843 1.484952 -3.614198 306s ------------- 306s Call: 306s PcaClassic(x = x) 306s 306s Standard deviations: 306s [1] 9.9788 4.4251 1.8986 306s ---------------------------------------------------------- 306s salinity 28 3 3 11.410736 7.075409 306s Scores: 306s PC1 PC2 PC3 306s 1 -0.937789 -2.40535 0.812909 306s 2 -1.752631 -2.57774 2.004437 306s 3 -6.509364 -0.78762 -1.821906 306s 4 -5.619847 -2.41333 -1.586891 306s 5 -7.268242 1.61012 1.563568 306s 6 -4.316558 -3.20411 0.029376 306s 7 -2.379545 -3.32371 0.703101 306s 8 0.013514 -3.50586 1.260502 306s 9 0.265262 -0.16736 -2.886883 306s 10 1.890755 2.43623 -0.986832 306s 11 0.804196 2.56656 0.387577 306s 12 0.935082 -1.03559 -0.074081 306s 13 1.814839 -1.61087 0.612290 306s 14 3.407535 -0.15880 2.026088 306s 15 1.731273 2.95159 -1.840286 306s 16 -6.129708 7.21368 2.632273 306s 17 -0.645124 1.06260 0.028697 306s 18 -1.307532 -2.54679 -0.280273 306s 19 0.483455 -0.55896 -3.097281 306s 20 2.053267 0.47308 -1.858703 306s 21 3.277664 -1.31002 0.453753 306s 22 4.631644 -0.78005 1.519894 306s 23 1.864403 5.32790 -0.849694 306s 24 0.623899 4.29317 0.056461 306s 25 1.301696 0.37871 -0.646220 306s 26 2.852126 -0.79527 -0.347711 306s 27 4.134051 -0.92756 0.449222 306s 28 4.781679 -0.20467 1.736616 306s ------------- 306s Call: 306s PcaClassic(x = x) 306s 306s Standard deviations: 306s [1] 3.3780 2.6600 1.4836 306s ---------------------------------------------------------- 306s hbk 75 3 3 216.162129 1.981077 306s Scores: 306s PC1 PC2 PC3 306s 1 26.2072 -0.660756 0.503340 306s 2 27.0406 -0.108506 -0.225059 306s 3 28.8351 -1.683721 0.263078 306s 4 29.9221 -0.812174 -0.674480 306s 5 29.3181 -0.909915 -0.121600 306s 6 27.5360 -0.599697 0.916574 306s 7 27.6617 -0.073753 0.676620 306s 8 26.5576 -0.882312 0.159620 306s 9 28.8726 -1.074223 -0.673462 306s 10 27.6643 -1.463829 -0.868593 306s 11 34.2019 -0.664473 -0.567265 306s 12 35.4805 -2.730949 -0.259320 306s 13 34.7544 1.325449 0.749884 306s 14 38.9522 8.171389 0.034382 306s 15 -5.5375 0.390704 1.679172 306s 16 -7.4319 0.803850 1.925633 306s 17 -8.5880 0.957577 -1.010312 306s 18 -6.6022 -0.425109 0.625148 306s 19 -6.5596 1.154721 -0.640680 306s 20 -5.2525 0.812527 1.377832 306s 21 -6.2771 0.067747 0.958907 306s 22 -6.2501 1.325491 -1.104428 306s 23 -7.2419 0.839808 0.728712 306s 24 -7.6489 1.131606 0.154897 306s 25 -9.0763 -0.670721 -0.167577 306s 26 -5.5967 0.999411 -0.810000 306s 27 -5.1460 -0.339018 1.326712 306s 28 -7.1659 -0.993461 0.125933 306s 29 -8.2104 -0.169338 -0.073569 306s 30 -6.2499 -1.689222 -0.877481 306s 31 -7.3180 -0.225795 1.687204 306s 32 -7.9446 1.473868 -0.541790 306s 33 -6.3604 1.237472 0.061800 306s 34 -8.9812 -0.710662 -0.830422 306s 35 -5.1698 -0.435484 1.102817 306s 36 -5.9995 -0.058135 -0.713550 306s 37 -5.8753 0.852882 -1.610556 306s 38 -8.4501 0.334363 0.404813 306s 39 -8.1751 -1.300317 0.633282 306s 40 -7.4495 0.672712 -0.829815 306s 41 -5.6213 -1.106765 1.395315 306s 42 -6.8571 -0.900977 -1.509937 306s 43 -7.0633 1.987372 -1.079934 306s 44 -6.3763 -1.867647 -0.251224 306s 45 -8.6456 -0.866053 0.630132 306s 46 -6.5356 -1.763526 -0.189838 306s 47 -8.2224 -1.183284 1.615150 306s 48 -5.6136 -1.100704 1.079239 306s 49 -5.9907 0.220336 1.443387 306s 50 -5.2675 0.142923 0.194023 306s 51 -7.9324 0.324710 1.113289 306s 52 -7.5544 -1.033884 1.792496 306s 53 -6.7119 -1.712257 -1.711778 306s 54 -7.4679 1.856542 0.046658 306s 55 -7.4666 1.161504 -0.725948 306s 56 -6.7110 1.574868 0.534288 306s 57 -8.2571 -0.399824 0.521995 306s 58 -5.9781 1.312567 0.926790 306s 59 -5.6960 -0.394338 -0.332938 306s 60 -6.1017 -0.797579 -1.679359 306s 61 -5.2628 0.919128 -1.436156 306s 62 -9.1245 -0.516135 -0.229065 306s 63 -7.7140 1.659145 0.068510 306s 64 -4.9886 0.173613 0.865810 306s 65 -6.6157 -1.479786 0.098390 306s 66 -7.9511 0.772770 -0.998321 306s 67 -7.1856 0.459602 0.216588 306s 68 -8.7345 -0.860784 -1.238576 306s 69 -8.5833 -0.313481 0.832074 306s 70 -5.8642 -0.142883 -0.870064 306s 71 -5.8879 0.186456 0.464467 306s 72 -7.1865 0.497156 -0.826767 306s 73 -6.8671 -0.058606 -1.335842 306s 74 -7.1398 0.727642 -1.422331 306s 75 -7.2696 -1.347832 -1.496927 306s ------------- 306s Call: 306s PcaClassic(x = x) 306s 306s Standard deviations: 306s [1] 14.70245 1.40751 0.95725 306s ---------------------------------------------------------- 306s milk 86 8 8 15.940298 2.771345 306s Scores: 306s PC1 PC2 PC3 PC4 PC5 PC6 PC7 306s 1 6.471620 1.031110 0.469432 0.5736412 1.0294362 -0.6054039 -0.2005117 306s 2 7.439545 0.320597 0.081922 -0.6305898 0.7128977 -1.1601053 -0.1170582 306s 3 1.240654 -1.840458 0.520870 -0.1717469 0.2752079 -0.3815506 0.6004089 306s 4 5.952685 -1.856375 1.638710 0.3358626 -0.5834205 -0.0665348 -0.1580799 306s 5 -0.706973 0.261795 0.423736 0.2916399 -0.5307716 -0.3325563 -0.0062349 306s 6 2.524050 0.293380 -0.572997 0.2466367 -0.3497882 0.0386014 -0.1418131 306s 7 3.136085 -0.050202 -0.818165 -0.0451560 -0.5226337 -0.1597194 0.1669050 306s 8 3.260390 0.312365 -0.110776 0.4908006 -0.5225353 -0.1972222 -0.1068433 306s 9 -0.808914 -2.355785 1.344204 -0.4743284 -0.1394914 -0.1390080 -0.2620731 306s 10 -2.511226 -0.995321 -0.087218 -0.5950040 0.4268321 0.2561918 0.0891170 306s 11 -9.204096 -0.598364 1.587275 0.0833647 0.1865626 0.0358228 0.0920394 306s 12 -12.946774 1.951332 -0.179186 0.2560603 0.1300954 -0.1179820 -0.0999494 306s 13 -10.011603 0.726323 -2.102423 -1.3105560 0.3291550 0.0660007 -0.0794410 306s 14 -11.983644 0.768224 -0.532227 -0.5161201 -0.0817164 -0.4358934 -0.1734612 306s 15 -10.465714 -0.704271 2.035437 0.3713778 -0.0564830 -0.2696432 -0.1940091 306s 16 -2.527619 -0.286939 0.354497 0.8571223 0.1585009 0.2272835 0.4386955 306s 17 -0.514527 -2.895087 1.657181 0.2208239 0.1961109 0.1280496 -0.0182491 306s 18 -1.763931 0.854269 -0.686282 0.2848209 -0.4813608 -0.2623962 0.4757030 306s 19 -1.538419 -0.866477 1.103818 0.3874507 0.2086661 0.1267277 0.2354264 306s 20 0.732842 -1.455594 1.097358 -0.2530588 -0.0302385 0.2654274 0.6093330 306s 21 -2.530155 1.932885 -0.873095 0.6202295 -0.4153607 0.0048383 0.0067484 306s 22 -0.772646 0.675846 -0.259539 0.4844670 -0.0893266 -0.2785557 -0.0424662 306s 23 0.185417 1.413719 0.066135 1.1014470 0.0468093 0.0288637 0.2539994 306s 24 -0.280536 0.908864 0.113221 1.3370381 0.3289929 0.2588134 -0.0356289 306s 25 -3.503626 1.971233 0.203620 1.1975494 -0.3175317 0.1149685 0.0584396 306s 26 -0.639313 1.175503 0.403906 0.9082134 -0.2648165 -0.1238813 -0.0174853 306s 27 -2.923327 -0.365168 0.149478 0.8201430 -0.1544609 -0.4856934 -0.0058424 306s 28 2.505633 3.050292 -0.554424 2.1416405 -0.0378764 0.1002280 -0.3888580 306s 29 4.649504 1.054863 -0.081018 1.1454466 0.1502080 0.4967323 0.0879775 306s 30 1.049282 1.355215 -0.142701 0.7805566 -0.2059790 0.0193142 0.0815524 306s 31 1.962583 1.595396 -2.050642 0.3556747 0.1384801 0.1197984 0.1608247 306s 32 1.554846 0.095644 -1.423054 -0.3175620 0.4260008 -0.1612463 -0.0567196 306s 33 2.248977 0.010348 -0.062469 0.6388269 0.2098648 0.1330250 0.0906704 306s 34 0.993109 -0.828812 0.284059 0.3446686 0.1899096 -0.0515571 -0.2281197 306s 35 -0.335103 1.614093 -0.920661 1.2502617 0.2435013 0.1264875 0.0469238 306s 36 4.346795 1.208134 0.368889 1.1429977 -0.1362052 -0.0158169 -0.0183852 306s 37 0.992634 2.013738 -1.350619 0.8714694 0.0057776 -0.2122691 0.1760918 306s 38 2.213341 1.706516 -0.705418 1.2670281 -0.0707149 0.0670467 -0.1863588 306s 39 -1.213255 0.644062 0.163988 1.1213961 0.2945355 0.1093574 0.0019574 306s 40 3.942604 -1.704266 0.660327 0.1618506 0.4259076 0.0070193 0.3462765 306s 41 4.262054 1.687193 0.351875 0.5396477 1.0052810 -0.9331689 0.0056063 306s 42 6.865198 -1.091248 1.153585 1.1248797 0.0873276 0.2565221 0.0333265 306s 43 3.476720 0.555449 -1.030771 -0.3015720 -0.1748109 -0.1584968 0.4079902 306s 44 5.691730 -0.141240 0.565189 0.3174238 0.6478440 1.0579977 -0.5387916 306s 45 0.327134 0.152011 -0.394798 0.4998430 0.1599781 0.3159518 0.1623656 306s 46 0.280225 1.569387 -0.100397 1.2800976 0.0446645 0.0946513 0.0461599 306s 47 3.119928 -0.384834 -3.325600 -1.8865310 -0.1334744 0.1249987 -0.2561273 306s 48 0.501542 0.739816 -1.384556 -0.1244721 0.2948958 0.4836170 -0.1182802 306s 49 -1.953218 0.269986 -1.726474 -0.8510637 0.5047958 0.4860651 0.2318735 306s 50 3.706878 -2.400570 1.361047 -0.4949076 0.2180352 0.4080879 0.1156540 306s 51 -1.060358 -0.521609 -1.387412 -1.2767491 -0.0521356 0.1665452 -0.0044412 306s 52 -4.900528 0.157011 -1.015880 -0.9941168 0.2069608 0.3239762 -0.1921715 306s 53 -0.388496 0.062051 -0.643721 -0.8544141 -0.1857141 0.0063293 0.2664606 306s 54 0.109234 -0.018709 -0.242825 -0.2064701 -0.0585165 0.1720867 0.1117397 306s 55 1.176175 0.644539 -0.373694 0.0038605 -0.3436524 0.0194450 -0.0838883 306s 56 0.407259 -0.606637 0.222915 -0.3622451 -0.0737834 0.0228104 0.0297333 306s 57 -1.022756 -0.071860 0.741957 0.2273628 -0.1388444 -0.2396467 -0.2327738 306s 58 0.245419 1.167059 0.225934 0.8318795 -0.5365166 -0.0090816 -0.1680757 306s 59 -1.300617 -1.110325 -0.262740 -0.8857801 -0.0816954 -0.1186886 -0.0928322 306s 60 -1.110561 -0.832357 -0.212713 -0.4754481 -0.4105982 -0.1886992 -0.0602872 306s 61 0.381831 -1.475116 0.601047 -0.6260156 -0.1854501 -0.1749306 -0.0013904 306s 62 2.734462 -1.887861 0.813453 -0.5856987 0.2310656 0.1117041 -0.0293373 306s 63 3.092464 -0.172602 0.017725 0.4874693 -0.5428206 0.0151218 -0.0683340 306s 64 3.092464 -0.172602 0.017725 0.4874693 -0.5428206 0.0151218 -0.0683340 306s 65 0.004744 -2.712679 1.178987 -0.6677199 0.0208119 0.0621903 -0.0655693 306s 66 -2.014851 -1.060090 -0.099959 -0.7225044 -0.1947648 -0.2282902 -0.0505015 306s 67 0.621739 -1.296106 0.255632 -0.3309504 -0.0880200 0.2524306 0.1465779 306s 68 -0.271385 -1.709161 -1.100349 -2.0937671 0.2166264 0.0191278 0.0114174 306s 69 -0.326350 -0.737232 0.021639 -0.3850383 -0.4338287 0.2156624 0.1597594 306s 70 4.187093 9.708082 4.632803 -4.9751240 -0.0881576 0.2392433 0.0568049 306s 71 -1.868507 -1.600166 0.436353 -0.8078214 -0.1530893 0.0479471 -0.1999893 306s 72 2.768081 -0.556824 -0.148923 -0.3197853 -0.5524427 0.0907804 -0.0694488 306s 73 -1.441846 -2.735114 -0.294134 -1.2172969 0.0109453 -0.0562910 0.1505788 306s 74 -10.995490 0.615992 1.950966 1.1687190 0.2798335 0.2713257 0.0652135 306s 75 0.508992 -2.363945 -0.407064 -0.9522316 0.1040307 0.1088110 -0.7368484 306s 76 -1.015714 -0.307662 -1.088162 -1.0181862 -0.0440888 -0.1362208 0.0271200 306s 77 -8.028891 -0.580763 0.933638 0.4619362 0.3379832 -0.1368644 -0.0669441 306s 78 1.763308 -1.336175 -0.127809 -0.7161775 -0.1904861 -0.0900461 0.0037539 306s 79 0.208944 -0.580698 -0.626297 -0.7620610 -0.0262368 -0.2928202 0.0285908 306s 80 -3.230608 1.251352 0.195280 0.8687004 0.1812011 0.2600692 -0.1516375 306s 81 1.498160 0.669731 -0.266114 0.3772866 -0.2769688 -0.1066593 -0.1608395 306s 82 3.232051 -1.776018 0.485524 0.1170945 0.0557260 0.2219872 0.1187681 306s 83 2.999977 -0.228275 -0.467724 -0.4287672 0.0494902 -0.2337809 -0.0718159 306s 84 1.238083 0.320956 -1.806006 -1.0142266 0.2359630 -0.0857149 0.0593938 306s 85 1.276376 -2.081214 2.540850 0.3745805 -0.2596482 -0.1228412 -0.2199985 306s 86 0.930715 0.836457 -1.385153 -0.6074929 -0.2476354 0.1680713 -0.0117324 306s PC8 306s 1 9.0765e-04 306s 2 2.1811e-04 306s 3 1.1834e-03 306s 4 8.4077e-05 306s 5 9.9209e-04 306s 6 1.6277e-03 306s 7 2.4907e-04 306s 8 6.8383e-04 306s 9 -5.0924e-04 306s 10 3.1215e-04 306s 11 3.0654e-04 306s 12 -1.1951e-03 306s 13 -1.2849e-03 306s 14 -9.0801e-04 306s 15 -1.2686e-03 306s 16 -1.8441e-03 306s 17 -2.1068e-03 306s 18 -5.7816e-04 306s 19 -1.2330e-03 306s 20 3.3857e-05 306s 21 3.8623e-04 306s 22 1.3035e-04 306s 23 -3.8648e-04 306s 24 -1.7400e-04 306s 25 -3.9196e-04 306s 26 -7.6996e-04 306s 27 -4.8042e-04 306s 28 -2.0628e-04 306s 29 -4.5672e-04 306s 30 -1.4716e-04 306s 31 -4.6385e-05 306s 32 -2.0481e-04 306s 33 -3.0020e-04 306s 34 -5.8179e-05 306s 35 1.3870e-04 306s 36 -6.7177e-04 306s 37 -3.0799e-04 306s 38 6.2140e-04 306s 39 4.5912e-04 306s 40 -3.7165e-04 306s 41 -5.4362e-04 306s 42 -1.0155e-03 306s 43 1.3449e-04 306s 44 -5.4761e-04 306s 45 1.0300e-03 306s 46 1.1039e-03 306s 47 -6.4858e-04 306s 48 -7.6886e-05 306s 49 3.2590e-04 306s 50 8.6845e-05 306s 51 4.9423e-04 306s 52 9.2973e-04 306s 53 4.4342e-04 306s 54 4.9888e-04 306s 55 7.2171e-04 306s 56 -3.2133e-05 306s 57 -1.8101e-04 306s 58 -5.4969e-06 306s 59 -8.3841e-04 306s 60 5.9446e-05 306s 61 -6.5683e-05 306s 62 -3.4073e-04 306s 63 -6.5145e-04 306s 64 -6.5145e-04 306s 65 1.4986e-04 306s 66 2.8096e-04 306s 67 -6.5170e-05 306s 68 -1.3775e-04 306s 69 6.8225e-06 306s 70 -1.6290e-04 306s 71 3.9009e-04 306s 72 -1.3981e-04 306s 73 6.2613e-04 306s 74 2.6513e-03 306s 75 3.7088e-04 306s 76 9.9539e-04 306s 77 1.2979e-03 306s 78 5.6500e-04 306s 79 3.0940e-04 306s 80 8.7993e-04 306s 81 -3.1353e-04 306s 82 4.9625e-04 306s 83 -6.3951e-04 306s 84 -4.5582e-04 306s 85 5.9440e-04 306s 86 -3.6234e-04 306s ------------- 306s Call: 306s PcaClassic(x = x) 306s 306s Standard deviations: 306s [1] 3.99253025 1.66473582 1.10660264 0.96987790 0.33004256 0.29263512 0.20843280 306s [8] 0.00074024 306s ---------------------------------------------------------- 306s bushfire 38 5 5 38435.075910 1035.305774 306s Scores: 306s PC1 PC2 PC3 PC4 PC5 306s 1 -111.9345 4.9970 -1.00881 -1.224361 3.180569 306s 2 -113.4128 7.4784 -0.79170 -0.235184 2.385812 306s 3 -105.8364 10.9615 -3.15662 -0.251662 1.017328 306s 4 -89.1684 8.7232 -6.15080 -0.075611 1.431111 306s 5 -58.7216 -1.9543 -12.70661 -0.151328 1.425570 306s 6 -35.0370 -12.8434 -17.06841 -0.525664 3.499743 306s 7 -250.2123 -49.4348 23.31261 -19.070238 0.647348 306s 8 -292.6877 -69.7708 -21.30815 13.093808 -1.288764 306s 9 -294.0765 -70.9903 -23.96326 14.940985 -0.939076 306s 10 -290.0193 -57.3747 3.51346 1.858995 0.083107 306s 11 -289.8168 -43.3207 16.08046 -1.745099 -1.506042 306s 12 -290.8645 6.2503 40.52173 -7.496479 -0.033767 306s 13 -232.6865 41.8090 37.19429 -1.280348 -0.470837 306s 14 9.8483 25.1954 -14.56970 0.538484 1.772046 306s 15 137.1924 11.8521 -37.12452 -5.130459 -0.586695 306s 16 92.9804 10.3923 -24.97267 -7.551314 -1.867125 306s 17 90.4493 10.5630 -21.92735 -5.669651 -1.001362 306s 18 78.6325 5.2211 -19.74718 -6.107880 -1.939986 306s 19 82.1178 3.6913 -21.37810 -4.259855 -1.278838 306s 20 92.9044 7.1961 -21.22900 -4.125571 -0.127089 306s 21 74.9157 10.2991 -16.60924 -5.660751 -0.406343 306s 22 66.7350 12.0460 -16.73298 -4.669080 1.333436 306s 23 -62.1981 22.7394 6.03613 -5.182356 -0.453624 306s 24 -116.5696 32.3182 12.74846 -1.465657 -0.097851 306s 25 -53.8907 22.4278 -2.18861 -2.742014 -0.990071 306s 26 -60.6384 20.2952 -3.05206 -2.953685 -0.629061 306s 27 -74.7621 28.9067 -0.65817 1.473357 -0.443957 306s 28 -50.2202 37.3457 -1.44989 5.530426 -1.073521 306s 29 -38.7483 50.2749 2.34469 10.156457 -0.416262 306s 30 -93.3887 51.7884 20.08872 8.798781 -1.620216 306s 31 35.3096 41.7158 13.46272 14.464358 -0.475973 306s 32 290.8493 3.5924 7.41501 15.244293 2.141354 306s 33 326.7236 -29.8194 15.64898 2.612061 0.064931 306s 34 322.9095 -30.6372 16.21520 1.248005 -0.711322 306s 35 328.5307 -29.9533 16.49656 1.138916 0.974792 306s 36 325.6791 -30.6990 16.83840 -0.050949 -1.211360 306s 37 323.8136 -30.7474 19.55764 -1.545150 -0.267580 306s 38 325.2991 -30.5350 20.31878 -1.928580 -0.120425 306s ------------- 306s Call: 306s PcaClassic(x = x) 306s 306s Standard deviations: 306s [1] 196.0487 32.1762 18.4819 6.9412 1.3510 306s ---------------------------------------------------------- 306s ========================================================== 306s > dodata(method="hubert.mcd") 306s 306s Call: dodata(method = "hubert.mcd") 306s Data Set n p k e1 e2 306s ========================================================== 306s heart 12 2 2 358.175786 4.590630 306s Scores: 306s PC1 PC2 306s 1 -12.2285 0.86283 306s 2 -68.9906 -7.43256 306s 3 -5.7035 -1.53793 306s 4 -1.8988 2.90891 306s 5 -24.0044 -2.68946 306s 6 9.9115 8.43321 306s 7 -11.0210 1.77484 306s 8 25.1826 -1.31573 306s 9 -3.2809 -0.74345 306s 10 23.8200 -0.93701 306s 11 9.1344 1.67701 306s 12 -53.6607 -5.08826 306s ------------- 306s Call: 306s PcaHubert(x = x, k = p) 306s 306s Standard deviations: 306s [1] 18.9255 2.1426 306s ---------------------------------------------------------- 306s starsCYG 47 2 2 0.280653 0.005921 306s Scores: 306s PC1 PC2 306s 1 -0.285731 -0.0899858 306s 2 -0.819689 0.0153191 306s 3 0.028077 -0.1501882 306s 4 -0.819689 0.0153191 306s 5 -0.234971 -0.1526225 306s 6 -0.527231 -0.0382380 306s 7 0.372118 -0.5195605 306s 8 -0.357448 0.1009508 306s 9 -0.603553 -0.2533541 306s 10 -0.177170 -0.0722541 306s 11 -0.637339 -1.0390758 306s 12 -0.512526 -0.0662337 306s 13 -0.490978 -0.0120517 306s 14 0.936868 -0.2550656 306s 15 0.684479 -0.0125787 306s 16 0.347708 0.0641382 306s 17 1.009966 -0.0202111 306s 18 0.742477 0.1286170 306s 19 0.773105 -0.0588983 306s 20 -0.795247 -1.0648673 306s 21 0.566048 -0.0319223 306s 22 0.723956 -0.0061308 306s 23 0.505616 0.0899297 306s 24 0.069956 0.0896997 306s 25 -0.080090 -0.0462652 306s 26 0.268755 0.0512425 306s 27 0.289710 -0.0770574 306s 28 0.038341 -0.0269216 306s 29 0.567463 -0.1026188 306s 30 -0.951542 -1.1005280 306s 31 0.512064 0.0504528 306s 32 -0.188059 0.1184850 306s 33 -0.288758 -0.0094200 306s 34 -1.190016 -1.1293460 306s 35 0.615197 -0.0846898 306s 36 -0.710930 0.0938781 306s 37 -0.183223 0.0888774 306s 38 -0.288758 -0.0094200 306s 39 -0.262177 0.0759816 306s 40 -0.630957 -0.0855773 306s 41 0.314679 0.0182135 306s 42 -0.130850 0.0163715 306s 43 -0.415248 0.0205825 306s 44 -0.407188 -0.0287636 306s 45 -0.620693 0.0376892 306s 46 -0.051896 0.0292672 306s 47 0.426662 0.0770340 306s ------------- 306s Call: 306s PcaHubert(x = x, k = p) 306s 306s Standard deviations: 306s [1] 0.529767 0.076946 306s ---------------------------------------------------------- 306s phosphor 18 2 2 285.985489 32.152099 306s Scores: 306s PC1 PC2 306s 1 -2.89681 -18.08811 306s 2 21.34021 -0.40854 306s 3 22.98065 4.13006 306s 4 12.33544 -6.72947 306s 5 17.99823 2.47611 306s 6 -13.35773 -24.10967 306s 7 -0.92957 -5.51314 306s 8 9.16061 2.71354 306s 9 9.89243 5.10403 306s 10 -14.12600 -11.17832 306s 11 3.84175 -0.17605 306s 12 -10.61905 4.37646 306s 13 -13.85065 2.01919 306s 14 -8.11927 4.34325 306s 15 -18.69805 -1.51673 306s 16 9.95352 -6.85784 306s 17 -22.49433 0.29387 306s 18 -18.66592 6.92359 306s ------------- 306s Call: 306s PcaHubert(x = x, k = p) 306s 306s Standard deviations: 306s [1] 16.9111 5.6703 306s ---------------------------------------------------------- 306s stackloss 21 3 3 78.703690 19.249085 306s Scores: 306s PC1 PC2 PC3 306s 1 -20.323997 10.26124 0.92041 306s 2 -19.761418 11.08797 0.92383 306s 3 -16.469919 6.43190 0.22593 306s 4 -4.171902 1.68262 2.50695 306s 5 -3.756174 1.40774 0.57004 306s 6 -3.964038 1.54518 1.53850 306s 7 -7.547376 -3.27780 2.48643 306s 8 -7.547376 -3.27780 2.48643 306s 9 -0.763294 -0.63699 2.53518 306s 10 4.214079 4.46296 -2.28315 306s 11 -0.849132 -2.97767 -2.31393 306s 12 -0.078689 -2.28838 -3.27896 306s 13 3.088921 2.80948 -2.28999 306s 14 -3.307313 -6.14718 -1.35916 306s 15 5.552354 -7.34201 -0.32057 306s 16 7.240091 -4.86180 -0.31031 306s 17 14.908334 6.84995 0.70603 306s 18 10.970281 1.06279 0.68209 306s 19 10.199838 0.37350 1.64712 306s 20 4.273564 1.99328 0.14526 306s 21 -11.992249 2.19025 -3.37391 306s ------------- 306s Call: 306s PcaHubert(x = x, k = p) 306s 306s Standard deviations: 306s [1] 8.8715 4.3874 2.1990 306s ---------------------------------------------------------- 306s salinity 28 3 3 11.651966 4.107426 306s Scores: 306s PC1 PC2 PC3 306s 1 1.68712 1.62591 0.19812128 306s 2 2.35772 2.37290 1.24965734 306s 3 6.80132 -2.14412 0.68142276 306s 4 6.41982 -0.61348 -0.31907921 306s 5 6.36697 -1.98030 4.87319903 306s 6 5.22050 1.20864 0.10252555 306s 7 3.34007 2.02950 0.00064329 306s 8 1.06220 2.89801 -0.35658064 306s 9 0.34692 -2.20572 -1.71677710 306s 10 -2.21421 -2.74842 0.76862599 306s 11 -1.40111 -2.16163 2.21124383 306s 12 -0.38242 0.32284 -0.23732191 306s 13 -1.12809 1.33152 -0.28800043 306s 14 -3.24998 1.35943 1.17514969 306s 15 -2.11006 -3.70114 0.45102357 306s 16 3.46920 -5.41242 8.56937909 306s 17 0.46682 -1.46753 1.48992481 306s 18 2.21807 0.99168 -0.61894625 306s 19 0.28525 -2.00333 -2.16450483 306s 20 -1.66639 -1.76768 -1.06946404 306s 21 -2.58106 1.23534 -0.65557612 306s 22 -4.15573 1.71244 0.08170141 306s 23 -3.07670 -4.87628 2.53200755 306s 24 -1.70808 -3.71657 2.99305849 306s 25 -1.08172 -1.05713 0.02468813 306s 26 -2.23187 0.27323 -0.85760867 306s 27 -3.50498 1.07657 -0.68503455 306s 28 -4.49819 1.43219 0.53416609 306s ------------- 306s Call: 306s PcaHubert(x = x, k = p) 306s 306s Standard deviations: 306s [1] 3.4135 2.0267 1.0764 306s ---------------------------------------------------------- 306s hbk 75 3 3 1.459908 1.201048 306s Scores: 306s PC1 PC2 PC3 306s 1 -31.105415 4.714217 10.4566165 306s 2 -31.707650 5.748724 10.7682402 306s 3 -33.366131 4.625897 12.1570167 306s 4 -34.173377 6.069657 12.4466895 306s 5 -33.780418 5.508823 11.9872893 306s 6 -32.493478 4.684595 10.5679819 306s 7 -32.592637 5.235522 10.3765493 306s 8 -31.293363 4.865797 10.9379676 306s 9 -33.160964 5.714260 12.3098920 306s 10 -31.919786 5.384537 12.3374332 306s 11 -38.231962 6.810641 13.5994385 306s 12 -39.290479 5.393906 15.2942554 306s 13 -39.418445 7.326461 11.5194898 306s 14 -43.906584 13.214819 8.3282743 306s 15 -1.906326 -0.716061 -0.8635112 306s 16 -0.263255 -0.926016 -1.9009292 306s 17 1.776489 1.072332 -0.5496140 306s 18 -0.464648 -0.702441 0.0482897 306s 19 -0.267826 1.283779 -0.2925812 306s 20 -2.122108 -0.165970 -0.8924686 306s 21 -0.937217 -0.548532 -0.4132196 306s 22 -0.423273 1.781869 -0.0323061 306s 23 -0.047532 -0.018909 -1.1259327 306s 24 0.490041 0.520202 -1.1065753 306s 25 2.143049 -0.720869 -0.0495474 306s 26 -1.094748 1.459175 0.2226246 306s 27 -2.070705 -0.898573 0.0023229 306s 28 0.294998 -0.830258 0.5929001 306s 29 1.242995 -0.300216 -0.2010507 306s 30 -0.147958 -0.439099 2.0003038 306s 31 -0.170818 -1.440946 -0.9755627 306s 32 0.958531 1.199730 -1.0129867 306s 33 -0.697307 0.874343 -0.7260649 306s 34 2.278946 -0.261106 0.4196544 306s 35 -1.962829 -0.809318 0.2033113 306s 36 -0.626631 0.600666 0.8004036 306s 37 -0.550885 1.881448 0.7382776 306s 38 1.249717 -0.336214 -0.9349845 306s 39 1.106696 -1.569418 0.1869576 306s 40 0.684034 0.939963 -0.1034965 306s 41 -1.559314 -1.551408 0.3660323 306s 42 0.538741 0.447358 1.6361099 306s 43 0.252685 2.080564 -0.7765259 306s 44 -0.217012 -1.027281 1.7015154 306s 45 1.497600 -1.349234 -0.2698932 306s 46 -0.100388 -1.026443 1.5390401 306s 47 0.811117 -2.195271 -0.5208141 306s 48 -1.462210 -1.321318 0.5600144 306s 49 -1.383976 -0.740714 -0.7348906 306s 50 -1.636773 0.215464 0.3195369 306s 51 0.530918 -0.759743 -1.2069247 306s 52 0.109566 -2.107455 -0.5315473 306s 53 0.564334 0.060847 2.3910630 306s 54 0.272234 1.122711 -1.5060028 306s 55 0.608660 1.197219 -0.5255609 306s 56 -0.565430 0.710345 -1.3708230 306s 57 1.115629 -0.888816 -0.4186014 306s 58 -1.351288 0.374815 -1.1980618 306s 59 -0.998016 0.151228 0.9007970 306s 60 -0.124017 0.764846 1.9005963 306s 61 -1.189858 1.905264 0.7721322 306s 62 2.190589 -0.579614 -0.1377914 306s 63 0.518278 0.931130 -1.4534768 306s 64 -2.124566 -0.194391 -0.0327092 306s 65 -0.154218 -1.050861 1.1309885 306s 66 1.197852 1.044147 -0.2265269 306s 67 0.114174 0.094763 -0.5168926 306s 68 2.201115 -0.032271 0.8573493 306s 69 1.307843 -1.104815 -0.7741270 306s 70 -0.691449 0.676665 1.0004603 306s 71 -1.150975 -0.050861 -0.0717068 306s 72 0.457293 0.861871 0.1026350 306s 73 0.392258 0.897451 0.9178065 306s 74 0.584658 1.450471 0.3201857 306s 75 0.972517 0.063777 1.8223995 306s ------------- 306s Call: 306s PcaHubert(x = x, k = p) 306s 306s Standard deviations: 306s [1] 1.2083 1.0959 1.0168 306s ---------------------------------------------------------- 306s milk 86 8 8 5.739740 2.405262 306s Scores: 306s PC1 PC2 PC3 PC4 PC5 PC6 PC7 306s 1 -5.710924 -1.346213 0.01332091 -0.3709242 -0.566813 0.7529298 -1.2525433 306s 2 -6.578612 -0.440749 1.16354746 0.2870685 -0.573207 0.7368064 -1.6101427 306s 3 -0.720902 1.777381 -0.21532020 -0.3213950 0.287603 -0.4764464 -0.5638337 306s 4 -5.545889 1.621147 -0.85212883 0.4380154 0.022241 0.0718035 0.1176140 306s 5 1.323210 -0.143897 -0.78611461 0.5966857 0.043139 -0.0512545 -0.1419726 306s 6 -1.760792 -0.662792 0.46402240 0.2149752 0.130000 0.0797221 0.1916948 306s 7 -2.344198 -0.363657 0.92442296 0.3921371 0.241463 -0.2370967 0.0636268 306s 8 -2.556824 -0.680132 0.04339934 0.4635077 0.154136 0.0371259 0.0260340 306s 9 1.203234 2.712342 -1.00693092 0.1251739 0.170679 0.2231851 -0.0118196 306s 10 3.151858 1.255826 -0.01678562 -0.5087398 -0.087933 0.0115055 -0.0097828 306s 11 9.562891 1.580419 -2.65612113 -0.1748178 -0.153031 -0.0880112 -0.1648752 306s 12 13.617821 -0.999033 -1.92168237 0.0326918 -0.038488 0.0870082 -0.1809687 306s 13 10.958032 -0.097916 0.95915085 -0.2348663 0.147875 0.1219202 0.0419067 306s 14 12.675941 0.158747 -1.04153243 0.3117402 0.302036 0.1187749 -0.2310830 306s 15 10.726828 1.775339 -3.36786799 0.1285422 0.151594 0.0998947 -0.2028458 306s 16 3.042705 0.212589 -1.23921907 -0.5596596 0.277061 -0.5037073 0.0612182 306s 17 0.780071 2.990008 -1.58490147 -0.5441119 0.436485 -0.0603833 0.1016610 306s 18 2.523916 -0.923373 -0.03221722 0.3830822 0.208008 -0.5505270 -0.1252648 306s 19 1.990563 1.062648 -1.42038451 -0.3602257 -0.068006 -0.1932744 -0.1197842 306s 20 -0.243938 1.674555 -0.72225359 -0.1475652 -0.397855 -0.5385123 -0.0559660 306s 21 3.354424 -2.001060 -0.22542149 0.3346180 0.032502 -0.0953825 0.1293148 306s 22 1.477177 -0.777534 -0.35362339 0.1224412 0.203208 0.0514382 -0.2166274 306s 23 0.502055 -1.618511 -0.85013853 -0.1298862 -0.144328 -0.1941806 -0.1923681 306s 24 0.900504 -1.227820 -1.07180474 -0.5851197 0.112657 0.0467164 0.0405544 306s 25 4.161393 -1.869015 -1.54507759 0.2003123 -0.152582 -0.1382908 0.0864320 306s 26 1.277795 -1.185179 -1.13445511 0.2771556 -0.101901 0.0070037 -0.1279016 306s 27 3.447256 0.257652 -1.13407954 -0.0077859 0.853002 -0.1376443 -0.1897380 306s 28 -1.695730 -3.781876 -0.72940594 -0.0956421 0.064475 0.3665470 0.0726448 306s 29 -3.923610 -1.654818 -0.16117226 -0.4242302 -0.303749 -0.0209844 0.1723890 306s 30 -0.309616 -1.564739 -0.39909943 0.1657509 -0.178739 -0.0600221 -0.0571706 306s 31 -0.960838 -2.242733 1.50477679 -0.2957897 0.163758 -0.1034399 0.0257903 306s 32 -0.671285 -0.459839 1.39124475 -0.3669914 0.246127 0.2094780 -0.2681284 306s 33 -1.589089 -0.390812 -0.16505762 -0.3992573 0.086870 -0.0402114 -0.0399923 306s 34 -0.421868 0.636139 -0.42563447 -0.2985726 0.311365 0.2398515 -0.0540852 306s 35 1.118429 -2.116328 -0.22329747 -0.4864401 0.289927 -0.0503006 0.0101706 306s 36 -3.660291 -1.630831 -0.57876280 0.1294792 -0.260224 0.0912904 -0.1565668 306s 37 -0.087686 -2.530609 0.50076931 -0.0319873 0.194898 -0.1233526 -0.2494283 306s 38 -1.418620 -2.303011 -0.09405565 -0.0931745 0.169466 0.1581787 0.0850095 306s 39 1.815225 -0.838968 -1.10222194 -0.4897630 0.180933 0.0096330 -0.0600652 306s 40 -3.420975 1.398516 -0.17143314 -0.5852146 0.090464 -0.2066323 -0.2974177 306s 41 -3.462295 -1.795174 -0.17500650 -0.1610267 -0.595086 0.5981680 -1.5930268 306s 42 -6.401429 0.451242 -0.78723149 -0.4285618 0.055395 -0.0212476 0.0808936 306s 43 -2.583017 -0.871790 1.29937081 0.2422349 -0.190002 -0.2822972 -0.2625721 306s 44 -5.027244 -0.167503 -0.02382957 -0.8288929 -0.852207 0.7399343 0.4606076 306s 45 0.364494 -0.440380 -0.07746564 -0.4552133 0.095711 -0.1662998 0.1566706 306s 46 0.420706 -1.880819 -0.82180986 -0.1823454 -0.022661 -0.0304227 -0.0516440 306s 47 -1.932985 -0.120002 4.00934170 0.0930728 0.295428 0.2787446 0.3766231 306s 48 0.395402 -1.021393 1.07953292 -0.4599764 -0.132386 0.1895780 0.2771755 306s 49 2.886100 -0.276587 1.48851137 -0.6314648 -0.203963 -0.0891955 0.1347804 306s 50 -3.255379 2.479232 -0.37933775 -0.3651497 -0.415000 0.0045750 0.0671055 306s 51 1.939333 0.617579 1.57113225 0.0310866 -0.039226 0.0409183 0.1830694 306s 52 5.727154 0.275898 0.58814711 -0.1739820 -0.222791 0.2553797 0.1959402 306s 53 1.207873 0.131451 0.80899235 0.2872465 -0.353544 -0.1697200 -0.0987230 306s 54 0.612921 0.040062 0.17807459 -0.0053074 -0.202244 -0.0671788 0.0530276 306s 55 -0.399075 -0.727144 0.26196635 0.3657576 -0.192705 0.0903564 0.0641289 306s 56 0.240719 0.733792 -0.05030509 0.0967214 -0.186906 0.0310231 -0.0594812 306s 57 1.589641 0.289427 -1.02478822 0.2723190 -0.048378 0.2599262 -0.2040853 306s 58 0.423483 -1.262515 -0.85026016 0.4749963 -0.082647 0.0752412 0.1352259 306s 59 1.983684 1.335122 0.42593757 0.1345894 0.096456 0.1153107 -0.0385994 306s 60 1.770171 0.935428 0.14901569 0.3641973 0.274015 -0.0280119 0.0690244 306s 61 0.182845 1.706453 -0.18364654 0.2517421 -0.035773 0.0357087 -0.1363470 306s 62 -2.191617 1.966324 -0.03573689 -0.2203900 -0.235704 0.1682332 -0.1145174 306s 63 -2.442239 -0.209694 -0.06681921 0.3184048 0.206772 -0.0608468 0.2425649 306s 64 -2.442239 -0.209694 -0.06681921 0.3184048 0.206772 -0.0608468 0.2425649 306s 65 0.407575 2.996346 -0.63021113 -0.1335795 0.087668 0.0627032 0.0486166 306s 66 2.660379 1.322824 0.10122110 0.2420451 0.192938 0.0344019 -0.0771918 306s 67 -0.032273 1.315299 -0.04511689 -0.1293380 -0.025923 -0.1655965 0.1887534 306s 68 1.117637 2.005809 1.97078787 -0.0429209 -0.176568 0.1634287 -0.0916254 306s 69 0.970730 0.837158 0.01621375 0.2347502 -0.071757 -0.2464626 0.2907551 306s 70 -2.688271 -5.335891 -0.64225481 4.1819517 -9.523550 2.0943027 -2.8098426 306s 71 2.428718 1.976051 -0.24749122 0.1308738 0.018276 0.1711292 0.1346284 306s 72 -2.061944 0.405943 0.50472914 0.4393739 -0.056420 -0.0031558 0.2663880 306s 73 2.029606 2.874991 0.68310320 -0.2067254 0.511537 -0.2010371 0.0805608 306s 74 11.293757 0.328931 -3.84783031 -0.4130266 -0.210499 -0.1103148 -0.0381326 306s 75 0.120896 2.287914 0.83639076 -0.2462845 0.551353 0.6629701 0.3789055 306s 76 1.859499 0.422019 1.18435547 0.1546108 0.017266 0.0470615 -0.1071011 306s 77 8.435857 1.147499 -2.19924186 -0.4156770 0.386548 0.0294075 -0.1911399 306s 78 -1.090858 1.311287 0.62897430 0.1727009 0.077341 0.0135972 -0.0096934 306s 79 0.560012 0.623617 0.83727267 0.1680787 0.087477 0.0611949 -0.2588084 306s 80 3.873817 -1.133641 -1.27469019 -0.2717298 -0.165066 0.1696232 0.0635047 306s 81 -0.758664 -0.880260 0.00057124 0.2838720 0.016243 0.1527299 -0.0150514 306s 82 -2.709588 1.464049 -0.12598126 -0.3828567 0.213647 -0.1425385 0.1552827 306s 83 -2.213670 0.059563 0.87565603 0.1255703 -0.082005 0.2189829 -0.2938264 306s 84 -0.242242 -0.483552 2.05089334 -0.0681005 -0.101578 0.1304632 -0.2218093 306s 85 -1.032129 2.375018 -2.19321259 0.2332079 -0.066379 0.1854598 -0.0873859 306s 86 0.015327 -0.948155 1.39530555 0.2701225 -0.268889 0.0578145 0.1608678 306s PC8 306s 1 2.1835e-03 306s 2 1.6801e-03 306s 3 1.6623e-03 306s 4 2.6286e-04 306s 5 9.5884e-04 306s 6 1.4430e-03 306s 7 1.8784e-04 306s 8 6.8473e-04 306s 9 -6.8490e-04 306s 10 1.1565e-04 306s 11 5.6907e-06 306s 12 -1.8395e-03 306s 13 -2.1582e-03 306s 14 -1.6294e-03 306s 15 -1.6964e-03 306s 16 -1.9664e-03 306s 17 -2.2448e-03 306s 18 -6.5884e-04 306s 19 -1.1536e-03 306s 20 2.6887e-04 306s 21 3.3199e-05 306s 22 1.1170e-04 306s 23 -1.7617e-04 306s 24 -2.1577e-04 306s 25 -6.1495e-04 306s 26 -7.2903e-04 306s 27 -6.8773e-04 306s 28 -2.0742e-04 306s 29 -2.6937e-04 306s 30 -6.7472e-05 306s 31 -1.3222e-04 306s 32 -1.6516e-04 306s 33 -1.8836e-04 306s 34 -1.1273e-04 306s 35 3.0703e-05 306s 36 -3.0311e-04 306s 37 -1.9380e-04 306s 38 5.5526e-04 306s 39 4.1987e-04 306s 40 8.4807e-05 306s 41 8.8725e-04 306s 42 -6.5647e-04 306s 43 4.3202e-04 306s 44 -5.3330e-04 306s 45 8.9161e-04 306s 46 1.1588e-03 306s 47 -1.2714e-03 306s 48 -4.0376e-04 306s 49 4.1280e-06 306s 50 3.0116e-04 306s 51 5.8510e-05 306s 52 3.3236e-04 306s 53 4.0982e-04 306s 54 4.0428e-04 306s 55 6.1600e-04 306s 56 -4.0496e-05 306s 57 -1.8342e-04 306s 58 -1.6748e-04 306s 59 -1.0894e-03 306s 60 -2.6876e-04 306s 61 -5.8951e-05 306s 62 -1.5517e-04 306s 63 -7.9933e-04 306s 64 -7.9933e-04 306s 65 2.2592e-05 306s 66 2.4984e-05 306s 67 -2.2714e-04 306s 68 -3.3991e-04 306s 69 -3.0375e-04 306s 70 3.4033e-03 306s 71 2.3288e-05 306s 72 -3.4126e-04 306s 73 2.5528e-04 306s 74 2.2760e-03 306s 75 -2.8985e-04 306s 76 7.9077e-04 306s 77 9.4636e-04 306s 78 4.9099e-04 306s 79 3.0501e-04 306s 80 6.5280e-04 306s 81 -3.6570e-04 306s 82 4.9966e-04 306s 83 -4.3245e-04 306s 84 -4.6152e-04 306s 85 7.4691e-04 306s 86 -6.1103e-04 306s ------------- 306s Call: 306s PcaHubert(x = x, k = p) 306s 306s Standard deviations: 306s [1] 2.39577535 1.55089079 0.92557331 0.33680677 0.19792033 0.17855133 0.16041702 306s [8] 0.00054179 306s ---------------------------------------------------------- 306s bushfire 38 5 5 31248.552973 358.974577 306s Scores: 306s PC1 PC2 PC3 PC4 PC5 306s 1 155.972 1.08098 -23.31135 -1.93015 1.218941 306s 2 157.738 0.35648 -20.95658 -2.42375 0.466415 306s 3 150.667 2.12545 -16.20395 -2.00140 -0.582924 306s 4 133.892 5.25124 -15.88873 -2.78469 -0.275261 306s 5 102.462 13.00611 -21.54096 -4.69409 -0.944176 306s 6 77.694 18.75377 -28.71865 -6.44244 0.446350 306s 7 286.266 -11.36184 -98.67134 10.95233 -3.625338 306s 8 326.627 29.92767 -112.60824 -29.26330 -13.710094 306s 9 327.898 32.39553 -113.34314 -31.65905 -13.830781 306s 10 325.131 5.81628 -105.58927 -13.45695 -8.987971 306s 11 326.458 -7.84562 -94.25242 -6.11547 -8.572845 306s 12 333.171 -37.69907 -50.89207 8.98187 -1.742979 306s 13 279.789 -40.78415 -8.06209 7.65884 0.181748 306s 14 37.714 10.54231 13.46530 -1.55051 2.102662 306s 15 -90.034 34.68964 18.98186 0.69260 0.417573 306s 16 -46.492 23.65086 10.07282 4.36090 -0.748517 306s 17 -43.990 20.36443 9.61049 2.83084 -0.127983 306s 18 -32.938 19.11199 2.64850 2.92879 -1.473988 306s 19 -36.555 20.60142 2.01879 0.63832 -1.235075 306s 20 -46.837 19.89630 6.65142 0.89120 0.271108 306s 21 -28.670 15.29534 6.59311 3.29638 0.402194 306s 22 -20.331 15.06559 7.33721 2.16591 2.006327 306s 23 108.644 -7.92707 -1.45130 6.27388 0.356715 306s 24 163.697 -16.15568 0.61663 4.24231 0.464415 306s 25 100.471 -0.30739 0.87762 2.86452 -0.692735 306s 26 106.922 0.90864 -1.91436 2.54557 -0.565023 306s 27 121.966 -3.29641 4.85626 -0.47676 -0.490047 306s 28 98.650 -4.51455 16.64160 -3.08996 -0.839397 306s 29 88.795 -10.85457 30.46708 -5.37360 0.315657 306s 30 142.981 -27.89100 22.40713 -1.67126 -0.680158 306s 31 14.125 -21.60028 29.80480 -8.25272 -0.019693 306s 32 -244.044 -11.76430 24.53390 -12.52294 2.022312 306s 33 -283.842 -13.21931 -6.23565 -2.63367 -0.080728 306s 34 -280.168 -13.41903 -7.69318 -1.24571 -0.722513 306s 35 -285.666 -13.78452 -6.50318 -1.23756 1.074669 306s 36 -282.938 -13.82281 -7.63902 0.20435 -0.971673 306s 37 -281.129 -16.20408 -8.57154 1.85797 0.234486 306s 38 -282.589 -16.91969 -8.36010 2.35589 0.490630 306s ------------- 306s Call: 306s PcaHubert(x = x, k = p) 306s 306s Standard deviations: 306s [1] 176.77260 18.94662 16.21701 3.95755 0.92761 306s ---------------------------------------------------------- 306s ========================================================== 306s > dodata(method="hubert") 306s 306s Call: dodata(method = "hubert") 306s Data Set n p k e1 e2 306s ========================================================== 306s heart 12 2 1 315.227002 NA 306s Scores: 306s PC1 306s 1 13.2197 306s 2 69.9817 306s 3 6.6946 306s 4 2.8899 306s 5 24.9956 306s 6 -8.9203 306s 7 12.0121 306s 8 -24.1915 306s 9 4.2721 306s 10 -22.8289 306s 11 -8.1433 306s 12 54.6519 306s ------------- 306s Call: 306s PcaHubert(x = x, mcd = FALSE) 306s 306s Standard deviations: 306s [1] 17.755 306s ---------------------------------------------------------- 306s starsCYG 47 2 1 0.308922 NA 306s Scores: 306s PC1 306s 1 0.224695 306s 2 0.758653 306s 3 -0.089113 306s 4 0.758653 306s 5 0.173934 306s 6 0.466195 306s 7 -0.433154 306s 8 0.296411 306s 9 0.542517 306s 10 0.116133 306s 11 0.576303 306s 12 0.451490 306s 13 0.429942 306s 14 -0.997904 306s 15 -0.745515 306s 16 -0.408745 306s 17 -1.071002 306s 18 -0.803514 306s 19 -0.834141 306s 20 0.734210 306s 21 -0.627085 306s 22 -0.784992 306s 23 -0.566652 306s 24 -0.130992 306s 25 0.019053 306s 26 -0.329791 306s 27 -0.350747 306s 28 -0.099378 306s 29 -0.628499 306s 30 0.890506 306s 31 -0.573100 306s 32 0.127022 306s 33 0.227721 306s 34 1.128979 306s 35 -0.676234 306s 36 0.649894 306s 37 0.122186 306s 38 0.227721 306s 39 0.201140 306s 40 0.569920 306s 41 -0.375716 306s 42 0.069814 306s 43 0.354212 306s 44 0.346152 306s 45 0.559656 306s 46 -0.009140 306s 47 -0.487699 306s ------------- 306s Call: 306s PcaHubert(x = x, mcd = FALSE) 306s 306s Standard deviations: 306s [1] 0.55581 306s ---------------------------------------------------------- 307s phosphor 18 2 1 215.172048 NA 307s Scores: 307s PC1 307s 1 1.12634 307s 2 -22.10340 307s 3 -23.49216 307s 4 -13.45927 307s 5 -18.60808 307s 6 11.24086 307s 7 -0.14748 307s 8 -9.77075 307s 9 -10.37022 307s 10 12.71798 307s 11 -4.61857 307s 12 10.07037 307s 13 13.16767 307s 14 7.57254 307s 15 17.81362 307s 16 -11.08799 307s 17 21.70358 307s 18 18.24496 307s ------------- 307s Call: 307s PcaHubert(x = x, mcd = FALSE) 307s 307s Standard deviations: 307s [1] 14.669 307s ---------------------------------------------------------- 307s stackloss 21 3 2 77.038636 18.859777 307s Scores: 307s PC1 PC2 307s 1 -20.334936 10.28081 307s 2 -19.772121 11.10736 307s 3 -16.461573 6.43794 307s 4 -4.258672 1.73213 307s 5 -3.773146 1.41928 307s 6 -4.015909 1.57571 307s 7 -7.635560 -3.22715 307s 8 -7.635560 -3.22715 307s 9 -0.855388 -0.58707 307s 10 4.298129 4.41664 307s 11 -0.767202 -3.02229 307s 12 0.038375 -2.35217 307s 13 3.172500 2.76354 307s 14 -3.261224 -6.17206 307s 15 5.553840 -7.34784 307s 16 7.242284 -4.86820 307s 17 14.878925 6.85989 307s 18 10.939223 1.07406 307s 19 10.133645 0.40394 307s 20 4.267234 1.99501 307s 21 -11.859921 2.12579 307s ------------- 307s Call: 307s PcaHubert(x = x, mcd = FALSE) 307s 307s Standard deviations: 307s [1] 8.7772 4.3428 307s ---------------------------------------------------------- 307s salinity 28 3 2 8.001175 5.858089 307s Scores: 307s PC1 PC2 307s 1 2.858444 1.04359 307s 2 3.807704 1.55974 307s 3 6.220733 -4.32114 307s 4 6.388841 -2.83649 307s 5 6.077450 -3.70092 307s 6 5.974494 -0.67230 307s 7 4.531584 0.78322 307s 8 2.725849 2.41297 307s 9 0.100501 -2.13615 307s 10 -2.358003 -1.49718 307s 11 -1.317688 -1.15391 307s 12 0.434635 0.58230 307s 13 0.116019 1.79022 307s 14 -1.771501 2.71749 307s 15 -2.630757 -2.44003 307s 16 2.289743 -5.51829 307s 17 0.637985 -1.26452 307s 18 3.076147 0.19883 307s 19 0.097381 -1.95868 307s 20 -1.572471 -0.93003 307s 21 -1.284185 2.21858 307s 22 -2.531713 3.30313 307s 23 -3.865359 -3.01230 307s 24 -2.143461 -2.41918 307s 25 -0.714414 -0.41227 307s 26 -1.327781 1.18373 307s 27 -2.201166 2.41566 307s 28 -2.931988 3.20536 307s ------------- 307s Call: 307s PcaHubert(x = x, mcd = FALSE) 307s 307s Standard deviations: 307s [1] 2.8286 2.4203 307s ---------------------------------------------------------- 307s hbk 75 3 3 1.459908 1.201048 307s Scores: 307s PC1 PC2 PC3 307s 1 31.105415 -4.714217 -10.4566165 307s 2 31.707650 -5.748724 -10.7682402 307s 3 33.366131 -4.625897 -12.1570167 307s 4 34.173377 -6.069657 -12.4466895 307s 5 33.780418 -5.508823 -11.9872893 307s 6 32.493478 -4.684595 -10.5679819 307s 7 32.592637 -5.235522 -10.3765493 307s 8 31.293363 -4.865797 -10.9379676 307s 9 33.160964 -5.714260 -12.3098920 307s 10 31.919786 -5.384537 -12.3374332 307s 11 38.231962 -6.810641 -13.5994385 307s 12 39.290479 -5.393906 -15.2942554 307s 13 39.418445 -7.326461 -11.5194898 307s 14 43.906584 -13.214819 -8.3282743 307s 15 1.906326 0.716061 0.8635112 307s 16 0.263255 0.926016 1.9009292 307s 17 -1.776489 -1.072332 0.5496140 307s 18 0.464648 0.702441 -0.0482897 307s 19 0.267826 -1.283779 0.2925812 307s 20 2.122108 0.165970 0.8924686 307s 21 0.937217 0.548532 0.4132196 307s 22 0.423273 -1.781869 0.0323061 307s 23 0.047532 0.018909 1.1259327 307s 24 -0.490041 -0.520202 1.1065753 307s 25 -2.143049 0.720869 0.0495474 307s 26 1.094748 -1.459175 -0.2226246 307s 27 2.070705 0.898573 -0.0023229 307s 28 -0.294998 0.830258 -0.5929001 307s 29 -1.242995 0.300216 0.2010507 307s 30 0.147958 0.439099 -2.0003038 307s 31 0.170818 1.440946 0.9755627 307s 32 -0.958531 -1.199730 1.0129867 307s 33 0.697307 -0.874343 0.7260649 307s 34 -2.278946 0.261106 -0.4196544 307s 35 1.962829 0.809318 -0.2033113 307s 36 0.626631 -0.600666 -0.8004036 307s 37 0.550885 -1.881448 -0.7382776 307s 38 -1.249717 0.336214 0.9349845 307s 39 -1.106696 1.569418 -0.1869576 307s 40 -0.684034 -0.939963 0.1034965 307s 41 1.559314 1.551408 -0.3660323 307s 42 -0.538741 -0.447358 -1.6361099 307s 43 -0.252685 -2.080564 0.7765259 307s 44 0.217012 1.027281 -1.7015154 307s 45 -1.497600 1.349234 0.2698932 307s 46 0.100388 1.026443 -1.5390401 307s 47 -0.811117 2.195271 0.5208141 307s 48 1.462210 1.321318 -0.5600144 307s 49 1.383976 0.740714 0.7348906 307s 50 1.636773 -0.215464 -0.3195369 307s 51 -0.530918 0.759743 1.2069247 307s 52 -0.109566 2.107455 0.5315473 307s 53 -0.564334 -0.060847 -2.3910630 307s 54 -0.272234 -1.122711 1.5060028 307s 55 -0.608660 -1.197219 0.5255609 307s 56 0.565430 -0.710345 1.3708230 307s 57 -1.115629 0.888816 0.4186014 307s 58 1.351288 -0.374815 1.1980618 307s 59 0.998016 -0.151228 -0.9007970 307s 60 0.124017 -0.764846 -1.9005963 307s 61 1.189858 -1.905264 -0.7721322 307s 62 -2.190589 0.579614 0.1377914 307s 63 -0.518278 -0.931130 1.4534768 307s 64 2.124566 0.194391 0.0327092 307s 65 0.154218 1.050861 -1.1309885 307s 66 -1.197852 -1.044147 0.2265269 307s 67 -0.114174 -0.094763 0.5168926 307s 68 -2.201115 0.032271 -0.8573493 307s 69 -1.307843 1.104815 0.7741270 307s 70 0.691449 -0.676665 -1.0004603 307s 71 1.150975 0.050861 0.0717068 307s 72 -0.457293 -0.861871 -0.1026350 307s 73 -0.392258 -0.897451 -0.9178065 307s 74 -0.584658 -1.450471 -0.3201857 307s 75 -0.972517 -0.063777 -1.8223995 307s ------------- 307s Call: 307s PcaHubert(x = x, mcd = FALSE) 307s 307s Standard deviations: 307s [1] 1.2083 1.0959 1.0168 307s ---------------------------------------------------------- 307s milk 86 8 2 6.040806 2.473780 307s Scores: 307s PC1 PC2 307s 1 -5.768003 -0.9174359 307s 2 -6.664422 0.0280812 307s 3 -0.484521 1.7923710 307s 4 -5.211590 2.0747301 307s 5 1.422641 -0.3268437 307s 6 -1.810360 -0.5469828 307s 7 -2.402924 -0.1987041 307s 8 -2.553389 -0.4963662 307s 9 1.583399 2.5410448 307s 10 3.267946 0.9141367 307s 11 9.924771 0.6501301 307s 12 13.628569 -2.3009846 307s 13 10.774550 -1.1628697 307s 14 12.716376 -1.0670330 307s 15 11.176408 0.7403371 307s 16 3.209269 -0.0804317 307s 17 1.256577 2.8931153 307s 18 2.468720 -1.2008647 307s 19 2.253229 0.8379608 307s 20 0.021073 1.6394221 307s 21 3.205298 -2.3518286 307s 22 1.470733 -0.9618655 307s 23 0.475732 -1.7044535 307s 24 0.930144 -1.3288398 307s 25 4.151553 -2.2882554 307s 26 1.314488 -1.3527439 307s 27 3.613405 -0.0813605 307s 28 -1.909178 -3.6473200 307s 29 -3.987263 -1.3255834 307s 30 -0.370601 -1.5855086 307s 31 -1.273254 -2.1892809 307s 32 -0.816634 -0.4514478 307s 33 -1.553394 -0.2792004 307s 34 -0.275027 0.6359374 307s 35 0.980782 -2.2353223 307s 36 -3.678470 -1.3459182 307s 37 -0.327102 -2.5615283 307s 38 -1.563492 -2.2008288 307s 39 1.876146 -1.0292641 307s 40 -3.204182 1.6694332 307s 41 -3.561892 -1.5844770 307s 42 -6.175135 1.0123714 307s 43 -2.736601 -0.7040261 307s 44 -4.981783 0.2434304 307s 45 0.368802 -0.5011413 307s 46 0.369508 -1.9511091 307s 47 -2.306673 -0.0089446 307s 48 0.215195 -1.1000357 307s 49 2.704678 -0.5919929 307s 50 -2.930879 2.7161936 307s 51 1.846250 0.3732500 307s 52 5.661288 -0.3139157 307s 53 1.154929 -0.0575094 307s 54 0.625715 -0.0733934 307s 55 -0.453714 -0.7535924 307s 56 0.343722 0.6460318 307s 57 1.743002 0.0794685 307s 58 0.433705 -1.3500731 307s 59 2.078550 1.0860506 307s 60 1.867913 0.7162287 307s 61 0.392645 1.6184583 307s 62 -1.958732 2.0993596 307s 63 -2.383251 -0.0253919 307s 64 -2.383251 -0.0253919 307s 65 0.780239 2.9018927 307s 66 2.785329 1.0142893 307s 67 0.131210 1.2703167 307s 68 1.110073 1.8140467 307s 69 1.076878 0.6954148 307s 70 -3.260160 -5.6233069 307s 71 2.647036 1.6892084 307s 72 -2.017340 0.5353349 307s 73 2.247524 2.6406249 307s 74 11.649291 -0.7374197 307s 75 0.280544 2.2306959 307s 76 1.791213 0.1796005 307s 77 8.730344 0.3412271 307s 78 -0.987405 1.3467910 307s 79 0.560808 0.5006661 307s 80 3.897879 -1.5270179 307s 81 -0.792759 -0.8649399 307s 82 -2.493611 1.6796838 307s 83 -2.245966 0.1889555 307s 84 -0.468812 -0.5359088 307s 85 -0.538372 2.4105954 307s 86 -0.185347 -1.0176989 307s ------------- 307s Call: 307s PcaHubert(x = x, mcd = FALSE) 307s 307s Standard deviations: 307s [1] 2.4578 1.5728 307s ---------------------------------------------------------- 307s bushfire 38 5 1 38435.075910 NA 307s Scores: 307s PC1 307s 1 -111.9345 307s 2 -113.4128 307s 3 -105.8364 307s 4 -89.1684 307s 5 -58.7216 307s 6 -35.0370 307s 7 -250.2123 307s 8 -292.6877 307s 9 -294.0765 307s 10 -290.0193 307s 11 -289.8168 307s 12 -290.8645 307s 13 -232.6865 307s 14 9.8483 307s 15 137.1924 307s 16 92.9804 307s 17 90.4493 307s 18 78.6325 307s 19 82.1178 307s 20 92.9044 307s 21 74.9157 307s 22 66.7350 307s 23 -62.1981 307s 24 -116.5696 307s 25 -53.8907 307s 26 -60.6384 307s 27 -74.7621 307s 28 -50.2202 307s 29 -38.7483 307s 30 -93.3887 307s 31 35.3096 307s 32 290.8493 307s 33 326.7236 307s 34 322.9095 307s 35 328.5307 307s 36 325.6791 307s 37 323.8136 307s 38 325.2991 307s ------------- 307s Call: 307s PcaHubert(x = x, mcd = FALSE) 307s 307s Standard deviations: 307s [1] 196.05 307s ---------------------------------------------------------- 307s ========================================================== 307s > 307s > dodata(method="locantore") 307s 307s Call: dodata(method = "locantore") 307s Data Set n p k e1 e2 307s ========================================================== 307s heart 12 2 2 1.835912 0.084745 307s Scores: 307s PC1 PC2 307s [1,] 7.3042 1.745289 307s [2,] 64.6474 0.164425 307s [3,] 1.1057 -1.404189 307s [4,] -3.1943 2.565728 307s [5,] 19.4154 -0.401369 307s [6,] -15.5709 6.666752 307s [7,] 5.9980 2.509372 307s [8,] -29.5933 -4.805972 307s [9,] -1.3933 -0.899323 307s [10,] -28.2845 -4.270057 307s [11,] -14.0069 0.048311 307s [12,] 49.1484 0.694598 307s ------------- 307s Call: 307s PcaLocantore(x = x) 307s 307s Standard deviations: 307s [1] 1.35496 0.29111 307s ---------------------------------------------------------- 307s starsCYG 47 2 2 0.779919 0.050341 307s Scores: 307s PC1 PC2 307s [1,] 0.174291 -0.0489127 307s [2,] 0.703776 0.0769650 307s [3,] -0.136954 -0.1212071 307s [4,] 0.703776 0.0769650 307s [5,] 0.125991 -0.1134658 307s [6,] 0.413609 0.0121367 307s [7,] -0.466451 -0.5036094 307s [8,] 0.238569 0.1446547 307s [9,] 0.498194 -0.1998666 307s [10,] 0.065125 -0.0353931 307s [11,] 0.562344 -0.9836936 307s [12,] 0.399997 -0.0164068 307s [13,] 0.376370 0.0369013 307s [14,] -1.041009 -0.2611550 307s [15,] -0.798187 -0.0090880 307s [16,] -0.464636 0.0805967 307s [17,] -1.123135 -0.0293034 307s [18,] -0.861603 0.1297588 307s [19,] -0.884955 -0.0588007 307s [20,] 0.721130 -1.0033585 307s [21,] -0.679097 -0.0238366 307s [22,] -0.837884 -0.0041718 307s [23,] -0.623423 0.1002615 307s [24,] -0.188079 0.1168815 307s [25,] -0.032888 -0.0131784 307s [26,] -0.385242 0.0707643 307s [27,] -0.401220 -0.0582501 307s [28,] -0.151978 0.0015702 307s [29,] -0.677776 -0.0945350 307s [30,] 0.878688 -1.0329475 307s [31,] -0.628339 0.0605648 307s [32,] 0.068629 0.1556245 307s [33,] 0.174199 0.0317098 307s [34,] 1.118098 -1.0525206 307s [35,] -0.726168 -0.0784655 307s [36,] 0.592061 0.1512588 307s [37,] 0.064942 0.1258519 307s [38,] 0.174199 0.0317098 307s [39,] 0.144335 0.1160195 307s [40,] 0.519088 -0.0311555 307s [41,] -0.429855 0.0359837 307s [42,] 0.015412 0.0513747 307s [43,] 0.299435 0.0665821 307s [44,] 0.293289 0.0169612 307s [45,] 0.504064 0.0916219 307s [46,] -0.063981 0.0612071 307s [47,] -0.544029 0.0904291 307s ------------- 307s Call: 307s PcaLocantore(x = x) 307s 307s Standard deviations: 307s [1] 0.88313 0.22437 307s ---------------------------------------------------------- 307s phosphor 18 2 2 0.933905 0.279651 307s Scores: 307s PC1 PC2 307s 1 4.5660 -15.58981 307s 2 -21.2978 -0.38905 307s 3 -23.3783 3.96546 307s 4 -11.7131 -5.79023 307s 5 -18.2569 2.81141 307s 6 15.5702 -20.54935 307s 7 1.3671 -3.27043 307s 8 -9.4859 3.92005 307s 9 -10.4501 6.22662 307s 10 15.0583 -7.60532 307s 11 -3.9078 1.56960 307s 12 10.0330 7.52732 307s 13 13.4815 5.50056 307s 14 7.5487 7.24752 307s 15 18.6543 2.46040 307s 16 -9.3301 -5.68285 307s 17 22.2533 4.63689 307s 18 17.7892 10.85633 307s ------------- 307s Call: 307s PcaLocantore(x = x) 307s 307s Standard deviations: 307s [1] 0.96639 0.52882 307s ---------------------------------------------------------- 307s stackloss 21 3 3 1.137747 0.196704 307s Scores: 307s PC1 PC2 PC3 307s [1,] 19.98046 -6.20875 -3.93576 307s [2,] 19.57014 -7.11509 -4.03666 307s [3,] 15.48729 -3.14247 -3.29600 307s [4,] 3.12341 -1.38969 1.50633 307s [5,] 2.35380 -0.84492 -0.25745 307s [6,] 2.73860 -1.11731 0.62444 307s [7,] 5.58533 4.04837 2.11170 307s [8,] 5.58533 4.04837 2.11170 307s [9,] -0.56851 0.17483 2.46656 307s [10,] -5.36478 -4.80766 -2.64915 307s [11,] -1.67190 3.34943 -1.74110 307s [12,] -2.46702 2.71547 -2.72389 307s [13,] -4.54414 -2.99497 -2.44736 307s [14,] 0.35419 6.70241 -0.45563 307s [15,] -8.28612 5.93369 1.94314 307s [16,] -9.51708 3.21466 1.64046 307s [17,] -14.87676 -9.74652 1.10983 307s [18,] -12.00452 -3.40212 1.81609 307s [19,] -11.20939 -2.76816 2.79887 307s [20,] -5.42808 -2.89367 0.23748 307s [21,] 9.83969 0.74095 -5.30190 307s ------------- 307s Call: 307s PcaLocantore(x = x) 307s 307s Standard deviations: 307s [1] 1.06665 0.44351 0.33935 307s ---------------------------------------------------------- 307s salinity 28 3 3 1.038873 0.621380 307s Scores: 307s PC1 PC2 PC3 307s 1 -2.7215590 -0.98924 0.3594538 307s 2 -3.6251829 -1.03361 1.4973993 307s 3 -6.0588883 4.23861 -1.1012038 307s 4 -6.2741857 2.42372 -1.4875092 307s 5 -5.7274076 5.42190 2.9332011 307s 6 -5.8431892 0.57161 -0.3385363 307s 7 -4.4051377 -0.83292 0.0851817 307s 8 -2.6155827 -2.50739 0.3386166 307s 9 -0.0426575 1.19631 -2.5025726 307s 10 2.5297488 1.65029 -0.0110335 307s 11 1.5528097 1.93255 1.4216262 307s 12 -0.3140451 -0.73269 -0.1961364 307s 13 0.0010783 -1.88658 0.1849912 307s 14 1.9554303 -2.13519 1.8471356 307s 15 2.7897250 2.40211 -0.6327944 307s 16 -1.7665706 8.69449 5.6608836 307s 17 -0.4374125 1.72696 0.7230753 307s 18 -2.9752196 -0.54118 -0.6829760 307s 19 -0.0599346 0.84127 -2.8473543 307s 20 1.6597909 0.34191 -1.4847516 307s 21 1.3857395 -2.43924 0.0039271 307s 22 2.6664754 -3.14291 1.0600254 307s 23 4.1202067 3.81886 1.0608640 307s 24 2.4163743 3.45141 1.6874099 307s 25 0.8493897 0.31424 -0.3073115 307s 26 1.4216265 -1.55310 -0.5455012 307s 27 2.3021676 -2.63392 0.0481451 307s 28 3.0877115 -2.85951 1.4378956 307s ------------- 307s Call: 307s PcaLocantore(x = x) 307s 307s Standard deviations: 307s [1] 1.01925 0.78828 0.36470 307s ---------------------------------------------------------- 307s hbk 75 3 3 1.038833 0.363386 307s Scores: 307s PC1 PC2 PC3 307s 1 32.393698 -3.4318297 0.051248 307s 2 33.103072 -4.4154651 0.294662 307s 3 35.038965 -3.5996035 -0.940929 307s 4 35.955809 -4.9285404 -0.479059 307s 5 35.424918 -4.3076292 -0.366699 307s 6 33.753497 -3.2463136 0.289013 307s 7 33.817375 -3.6819421 0.684167 307s 8 32.717119 -3.7074394 -0.279567 307s 9 34.932190 -4.6939061 -0.738196 307s 10 33.737339 -4.5702346 -1.193206 307s 11 40.202273 -5.4336890 -0.229323 307s 12 41.638189 -4.5304173 -1.996311 307s 13 40.768565 -5.0531048 2.123222 307s 14 44.408749 -8.8448536 8.236462 307s 15 0.977343 1.3057899 0.938694 307s 16 -0.900390 1.6169842 1.382855 307s 17 -2.384467 -0.9835430 0.375495 307s 18 -0.143306 0.7859701 -0.237712 307s 19 -0.344479 -0.9791245 0.733869 307s 20 1.199115 0.8330752 1.216827 307s 21 0.184475 0.8630593 0.351029 307s 22 -0.100389 -1.5084406 0.718236 307s 23 -0.847925 0.4823829 0.958677 307s 24 -1.334366 -0.1021190 1.000300 307s 25 -2.669352 0.4692990 -0.811134 307s 26 0.601538 -1.1984283 0.541627 307s 27 1.373423 1.2098621 0.136249 307s 28 -0.721268 0.6164612 -0.963817 307s 29 -1.832615 0.2543279 -0.297658 307s 30 0.120086 -0.1558590 -1.976558 307s 31 -0.747437 1.7749106 0.342824 307s 32 -1.727558 -0.8325772 1.043088 307s 33 -0.073907 -0.3923823 1.083904 307s 34 -2.646454 -0.1350138 -1.101448 307s 35 1.331096 1.0443905 -0.039328 307s 36 0.281192 -0.6569943 -0.404009 307s 37 0.245349 -1.8406517 0.093656 307s 38 -2.049446 0.5320301 0.347219 307s 39 -1.645547 1.3268749 -1.068792 307s 40 -1.216874 -0.8556007 0.201262 307s 41 0.959445 1.6250030 -0.553881 307s 42 -0.603579 -0.9569812 -1.502730 307s 43 -0.946870 -1.6333180 1.324763 307s 44 0.076217 0.5018427 -1.902369 307s 45 -2.140584 1.2192726 -0.677180 307s 46 -0.081677 0.5389288 -1.785347 307s 47 -1.590461 2.1881067 -0.583771 307s 48 0.931421 1.3321181 -0.669782 307s 49 0.512639 1.2123979 0.683099 307s 50 1.095415 0.0045968 0.143109 307s 51 -1.456417 1.1186245 0.619657 307s 52 -0.917904 2.2084467 -0.366392 307s 53 -0.429654 -0.8524437 -2.326637 307s 54 -1.213858 -0.4996891 1.630709 307s 55 -1.253877 -0.9438354 0.692022 307s 56 -0.390657 -0.0427482 1.571167 307s 57 -1.797537 0.8934866 -0.281980 307s 58 0.396886 0.3227454 1.492494 307s 59 0.646360 -0.2194210 -0.562699 307s 60 0.119900 -1.2480691 -1.459763 307s 61 0.867946 -1.7843458 0.232229 307s 62 -2.733997 0.3604288 -0.692947 307s 63 -1.442683 -0.3732483 1.452800 307s 64 1.444934 0.5727959 0.434633 307s 65 -0.147284 0.7055205 -1.413940 307s 66 -1.739552 -0.9838385 0.220303 307s 67 -0.824644 0.1503195 0.411693 307s 68 -2.437638 -0.4835278 -1.392882 307s 69 -2.091970 1.1865192 -0.088483 307s 70 0.403429 -0.7855276 -0.540161 307s 71 0.507512 0.3152001 0.276885 307s 72 -0.944376 -0.8197825 0.044859 307s 73 -0.648597 -1.1160277 -0.658528 307s 74 -0.979453 -1.4589411 0.029182 307s 75 -0.982282 -0.7226425 -1.917060 307s ------------- 307s Call: 307s PcaLocantore(x = x) 307s 307s Standard deviations: 307s [1] 1.01923 0.60282 0.46137 307s ---------------------------------------------------------- 307s milk 86 8 8 1.175171 0.426506 307s Scores: 307s PC1 PC2 PC3 PC4 PC5 PC6 307s [1,] 6.1907998 0.58762698 0.686510 -0.209679 0.3321757 -1.3424985 307s [2,] 7.0503894 -0.49576086 -0.322697 -0.767415 -0.0165833 -1.4596064 307s [3,] 0.7670594 -1.83556812 0.468814 0.346810 -0.0204610 -0.2115383 307s [4,] 5.4656748 -2.29797862 1.612819 -0.378295 -0.2050232 0.3486957 307s [5,] -1.0291160 0.37303007 0.634604 -0.521527 -0.3299543 0.0859469 307s [6,] 2.2186300 0.39396818 -0.236987 -0.033975 -0.2549238 0.2541221 307s [7,] 2.7938591 -0.01152811 -0.600546 -0.098564 -0.3906602 0.3798516 307s [8,] 2.9544176 0.32646226 0.273051 -0.275073 -0.3982959 0.2377581 307s [9,] -1.3344639 -2.45440308 1.001792 -0.104783 -0.1744718 -0.0887272 307s [10,] -2.9294174 -0.79860558 -0.260533 0.375330 0.3425169 -0.2056682 307s [11,] -9.5810648 -0.09577968 1.565111 -0.112002 0.3143032 -0.3190238 307s [12,] -13.1147240 2.95665890 0.228086 -0.180867 0.0136463 -0.4604390 307s [13,] -10.2989319 1.53220781 -2.244629 0.323950 -0.0398642 -0.3463501 307s [14,] -12.2553418 1.62281167 -0.472862 -0.212983 -0.4124280 -0.4253719 307s [15,] -10.8346894 -0.09781844 2.134079 -0.272304 -0.1090226 -0.3725738 307s [16,] -2.8358474 0.28109809 0.945309 0.603249 0.1615955 0.1762086 307s [17,] -1.0353408 -2.75475311 1.677879 0.598578 0.0078965 0.0228522 307s [18,] -2.0271810 1.25894451 -0.266038 -0.168565 -0.3000200 0.2891774 307s [19,] -1.9279394 -0.68339726 1.264416 0.186749 0.3018226 -0.0869321 307s [20,] 0.2568334 -1.62632029 0.854279 -0.088175 0.5458645 0.2217019 307s [21,] -2.7017404 2.45223507 -0.243639 -0.211402 -0.2102323 0.2140100 307s [22,] -1.0386097 0.99459030 0.188462 -0.033434 -0.2857078 -0.1438517 307s [23,] -0.0198126 1.73285416 0.761979 0.005501 0.1671992 -0.0375468 307s [24,] -0.4909448 1.40982693 0.967440 0.521275 0.1625359 -0.0892501 307s [25,] -3.6632699 2.51414455 0.966410 -0.272694 0.0467958 0.1572715 307s [26,] -0.8733564 1.42247465 0.946038 -0.338985 -0.0804141 -0.0080759 307s [27,] -3.2254798 0.26912538 0.799468 0.372442 -0.6886191 -0.0553515 307s [28,] 2.4675785 3.56128696 0.813964 0.118354 -0.1677073 -0.0303774 307s [29,] 4.4177264 1.13316321 0.613509 0.261488 0.4229929 0.1780620 307s [30,] 0.8240097 1.54163297 0.398148 -0.221825 0.0309586 0.0830110 307s [31,] 1.7735990 2.00615332 -1.399933 0.469158 -0.0740282 0.0692312 307s [32,] 1.2348922 0.28918604 -1.239899 0.470999 -0.1511519 -0.3692504 307s [33,] 1.9407276 0.19123540 0.406623 0.389965 0.0994854 -0.0204286 307s [34,] 0.6225565 -0.65636700 0.565253 0.369897 -0.1612501 -0.1774611 307s [35,] -0.4869219 2.26301333 0.071825 0.588101 -0.0579092 -0.0362009 307s [36,] 4.1117242 1.16638974 0.982790 -0.266009 0.0728797 -0.0018914 307s [37,] 0.8415225 2.46677043 -0.526780 0.167456 -0.2370116 -0.0731483 307s [38,] 2.0528334 2.09648023 0.220912 0.206722 -0.1924842 0.0676382 307s [39,] -1.4493644 1.14916103 0.904194 0.455498 0.0678893 -0.1476540 307s [40,] 3.4867792 -1.82367389 0.730183 0.499859 0.2327704 -0.1518819 307s [41,] 4.0222120 1.34765470 0.580852 -0.453301 0.2482908 -1.5306566 307s [42,] 6.4789035 -1.25599522 1.644194 0.381331 0.1699942 0.1847594 307s [43,] 3.1529354 0.44884526 -0.967114 -0.220364 0.0037036 0.0802727 307s [44,] 5.3344976 -0.47975673 0.642789 0.298705 0.9983145 -0.1310548 307s [45,] 0.0325597 0.49900084 0.076948 0.486521 0.1642679 0.1392696 307s [46,] 0.1014401 1.97657735 0.733879 0.127235 0.0650844 -0.0144271 307s [47,] 2.7217685 -0.37859042 -3.696163 0.355401 -0.4123714 0.2114024 307s [48,] 0.2292225 1.01473918 -1.115726 0.434557 0.2668316 0.0103147 307s [49,] -2.2803784 0.59474034 -1.783003 0.549252 0.4660435 -0.0802352 307s [50,] 3.1560404 -2.84820361 0.913015 0.077151 0.5803961 0.0350246 307s [51,] -1.4680905 -0.43078891 -1.733657 0.074684 0.0026718 0.0819023 307s [52,] -5.2469034 0.48385240 -1.246027 0.081379 0.2380924 -0.1663831 307s [53,] -0.7670982 0.00234561 -0.923030 -0.366820 0.1582141 0.0508747 307s [54,] -0.2428655 0.04714401 -0.217187 -0.059549 0.1762969 0.0806339 307s [55,] 0.8723441 0.66109329 -0.224917 -0.360607 -0.0638127 0.1310131 307s [56,] 0.0019700 -0.67624071 0.081304 -0.182908 0.1045597 -0.0281936 307s [57,] -1.3684663 -0.00045069 0.860560 -0.350684 -0.1443970 -0.2270651 307s [58,] 0.0079047 1.36376727 0.750919 -0.437914 -0.1894910 0.2345556 307s [59,] -1.7430794 -1.06973583 -0.569381 -0.055139 -0.1582790 -0.0873605 307s [60,] -1.5171606 -0.69340281 -0.287048 -0.136559 -0.3871182 0.1606979 307s [61,] -0.0955085 -1.64221260 0.263650 -0.265665 -0.0808644 -0.0476862 307s [62,] 2.2259171 -2.22161516 0.426279 0.027834 0.2924338 -0.1784242 307s [63,] 2.7573525 -0.11785122 0.391113 -0.094032 -0.3184760 0.4251268 307s [64,] 2.7573525 -0.11785122 0.391113 -0.094032 -0.3184760 0.4251268 307s [65,] -0.5520071 -2.86186682 0.746248 0.109945 0.0556927 -0.0135739 307s [66,] -2.4472964 -0.94969715 -0.329042 -0.113895 -0.2728443 -0.0523337 307s [67,] 0.1790969 -1.29190443 0.146657 0.140234 0.1534048 0.2318353 307s [68,] -0.8017055 -1.93331421 -1.968273 0.017854 0.1287513 -0.2306786 307s [69,] -0.7356418 -0.68868398 -0.075215 -0.156944 0.0302876 0.4232626 307s [70,] 3.8821693 5.16959880 0.215490 -8.985938 5.2189361 -2.8089276 307s [71,] -2.3478937 -1.60220695 0.058822 -0.111845 -0.0539018 0.0087982 307s [72,] 2.3676739 -0.70331436 -0.214457 -0.307311 -0.1582719 0.3995413 307s [73,] -1.9906385 -2.60946629 -0.730312 0.485522 -0.2391998 0.1009341 307s [74,] -11.2435515 1.44868683 2.482678 0.026711 0.4922865 -0.2822136 307s [75,] 0.0044207 -2.29768358 -0.692425 0.538923 -0.4110598 -0.0824903 307s [76,] -1.4045239 -0.22649785 -1.343257 -0.067382 -0.1322233 -0.1072330 307s [77,] -8.3637576 0.14167751 1.267616 0.384528 -0.0728561 -0.4017300 307s [78,] 1.3022939 -1.47457541 -0.394623 -0.068014 -0.1502832 0.0757414 307s [79,] -0.1950676 -0.58254701 -0.824931 -0.088174 -0.2071634 -0.1896613 307s [80,] -3.4432989 1.73593273 0.777996 0.094211 0.2377017 -0.1520088 307s [81,] 1.2167258 0.77512068 0.085803 -0.214850 -0.2201173 0.0432435 307s [82,] 2.7778798 -1.80071342 0.583878 0.465898 0.0648352 0.2148470 307s [83,] 2.6218578 -0.39825539 -0.553372 -0.145721 -0.0977092 -0.2485337 307s [84,] 0.8946018 0.33790104 -1.974267 0.091828 0.0051986 -0.2606274 307s [85,] 0.7759316 -2.34860124 2.423325 -0.384149 -0.0167182 -0.0353374 307s [86,] 0.6266756 0.87099609 -1.407948 -0.237762 0.0361644 0.1675792 307s PC7 PC8 307s [1,] -0.1014312 1.5884e-03 307s [2,] -0.3831443 1.0212e-03 307s [3,] -0.7164683 1.2035e-03 307s [4,] 0.0892864 3.5409e-04 307s [5,] -0.0943992 1.0547e-03 307s [6,] 0.1184847 1.5031e-03 307s [7,] -0.2509793 1.6850e-05 307s [8,] -0.0136880 7.0308e-04 307s [9,] 0.2238736 -1.9164e-04 307s [10,] 0.0754413 1.3614e-04 307s [11,] 0.0784380 3.5175e-04 307s [12,] 0.2033489 -1.3174e-03 307s [13,] 0.2139525 -1.7101e-03 307s [14,] 0.1209735 -9.1070e-04 307s [15,] 0.2119647 -9.2843e-04 307s [16,] -0.3011483 -2.1474e-03 307s [17,] 0.0660858 -1.9036e-03 307s [18,] -0.5199396 -9.4385e-04 307s [19,] -0.1232622 -1.2649e-03 307s [20,] -0.3900208 -2.6927e-04 307s [21,] 0.0264834 7.6074e-05 307s [22,] -0.0736288 1.7240e-04 307s [23,] -0.2156005 -5.5661e-04 307s [24,] 0.1143327 -2.5248e-04 307s [25,] 0.0481580 -6.1531e-04 307s [26,] -0.0084802 -7.5928e-04 307s [27,] -0.2173883 -3.0971e-04 307s [28,] 0.3288873 -1.8975e-04 307s [29,] 0.0788974 -7.2436e-04 307s [30,] -0.0598663 -3.0463e-04 307s [31,] -0.1511658 -4.8751e-04 307s [32,] -0.0532375 -2.5207e-04 307s [33,] -0.0635290 -3.9270e-04 307s [34,] 0.1598240 1.3024e-04 307s [35,] -0.0355175 -8.5374e-05 307s [36,] -0.0174096 -6.3294e-04 307s [37,] -0.2883141 -5.2809e-04 307s [38,] 0.1426412 5.3331e-04 307s [39,] 0.0313308 4.2738e-04 307s [40,] -0.3536195 -3.4170e-04 307s [41,] -0.3925168 1.4588e-04 307s [42,] -0.0056267 -9.1925e-04 307s [43,] -0.4447402 -1.8415e-04 307s [44,] 0.9184385 -5.9685e-04 307s [45,] -0.0340987 7.2924e-04 307s [46,] -0.0162866 9.7800e-04 307s [47,] 0.2428769 -1.1208e-03 307s [48,] 0.3026758 -4.5769e-04 307s [49,] 0.0246345 -2.6207e-04 307s [50,] 0.0857698 7.6439e-05 307s [51,] 0.1136658 1.3013e-04 307s [52,] 0.3993357 6.2796e-04 307s [53,] -0.1765161 1.1329e-04 307s [54,] 0.0016144 2.5870e-04 307s [55,] 0.1064371 5.8188e-04 307s [56,] 0.0207478 -8.7595e-05 307s [57,] 0.1560065 6.3987e-05 307s [58,] 0.1684561 -5.0193e-05 307s [59,] 0.0778732 -8.5458e-04 307s [60,] 0.0037585 1.0429e-05 307s [61,] -0.0296083 3.1526e-05 307s [62,] 0.0913974 -2.2794e-04 307s [63,] 0.0358917 -7.3721e-04 307s [64,] 0.0358917 -7.3721e-04 307s [65,] 0.1209159 2.9398e-04 307s [66,] -0.0027574 2.9380e-04 307s [67,] -0.0091059 -2.7494e-04 307s [68,] 0.0555970 -3.3016e-04 307s [69,] -0.0149255 -3.1228e-04 307s [70,] 0.9282997 4.7859e-05 307s [71,] 0.2630142 4.2617e-04 307s [72,] 0.1063248 -3.0070e-04 307s [73,] -0.1462452 4.9607e-04 307s [74,] 0.2027591 2.6399e-03 307s [75,] 0.6934350 6.0284e-04 307s [76,] -0.0430524 8.1271e-04 307s [77,] 0.0789302 1.4655e-03 307s [78,] -0.0318359 5.2799e-04 307s [79,] -0.1269568 2.9497e-04 307s [80,] 0.2903958 7.8932e-04 307s [81,] 0.0979443 -3.1531e-04 307s [82,] -0.0548155 4.2140e-04 307s [83,] -0.0371550 -5.6653e-04 307s [84,] -0.0835149 -7.0682e-04 307s [85,] 0.1864954 1.0604e-03 307s [86,] 0.1074252 -7.4859e-04 307s ------------- 307s Call: 307s PcaLocantore(x = x) 307s 307s Standard deviations: 307s [1] 1.08405293 0.65307452 0.28970076 0.11162824 0.09072195 0.06659711 0.05888048 307s [8] 0.00022877 307s ---------------------------------------------------------- 307s bushfire 38 5 5 1.464779 0.043290 307s Scores: 307s PC1 PC2 PC3 PC4 PC5 307s [1,] -69.9562 -13.0364 0.98678 1.054123 2.411188 307s [2,] -71.5209 -10.5459 0.31081 1.631208 1.663470 307s [3,] -63.9308 -7.4622 -2.43241 0.671038 0.465836 307s [4,] -47.0413 -9.6343 -3.83609 0.758349 0.683983 307s [5,] -15.9088 -20.1737 -5.55893 1.181744 -0.053563 307s [6,] 8.3484 -30.7646 -5.51541 1.877227 1.338037 307s [7,] -207.7458 -66.2492 34.48519 -5.894885 -1.051729 307s [8,] -246.4327 -97.0433 -9.57057 22.286225 -9.234869 307s [9,] -247.5984 -98.8613 -12.13406 23.948770 -9.250401 307s [10,] -245.8121 -79.2634 12.47990 13.046128 -5.125478 307s [11,] -246.8887 -62.5899 21.21764 9.111011 -5.080985 307s [12,] -251.1354 -9.2115 31.77448 0.236379 0.707528 307s [13,] -194.0239 27.1288 21.05023 0.940913 1.781359 307s [14,] 51.7182 8.5038 -11.22109 -2.132458 1.984807 307s [15,] 180.5597 -4.8151 -21.36630 -9.390663 -0.817036 307s [16,] 135.7246 -5.0756 -11.33517 -10.015567 -1.670831 307s [17,] 133.0151 -4.0344 -8.95540 -7.702087 -0.923277 307s [18,] 121.2619 -9.0627 -5.96042 -7.210971 -2.092872 307s [19,] 124.9038 -10.6649 -7.22555 -5.349553 -1.771009 307s [20,] 135.5410 -6.8146 -7.52834 -5.562769 -0.396924 307s [21,] 117.1950 -3.5643 -4.67473 -6.862117 -0.234551 307s [22,] 108.9944 -2.3344 -5.90349 -5.928299 1.455538 307s [23,] -21.4031 8.0668 6.19525 -4.784890 0.671394 307s [24,] -76.3499 16.7804 6.52545 -1.391250 1.219282 307s [25,] -12.5732 6.1109 -1.45259 -3.512072 -0.375837 307s [26,] -19.1800 3.4685 -2.02243 -3.490028 -0.169127 307s [27,] -33.6733 12.0757 -3.53322 0.048666 0.067468 307s [28,] -9.3966 21.5055 -5.91671 2.650895 -0.449672 307s [29,] 1.4123 35.8559 -5.98222 5.982362 0.613667 307s [30,] -54.2683 39.6029 7.82694 6.759994 0.035048 307s [31,] 74.8866 34.9048 10.03986 12.592158 0.149308 307s [32,] 331.4144 9.3079 27.73391 17.334531 1.015536 307s [33,] 367.6915 -19.5135 48.52753 10.213314 -1.268047 307s [34,] 363.8686 -20.4079 49.32855 8.986581 -1.930673 307s [35,] 369.4371 -19.5074 49.66761 9.001542 -0.179566 307s [36,] 366.5850 -20.2555 50.30290 7.745330 -2.259131 307s [37,] 364.5463 -19.8198 53.00407 6.757796 -1.083372 307s [38,] 365.9709 -19.3753 53.80168 6.467284 -0.854384 307s ------------- 307s Call: 307s PcaLocantore(x = x) 307s 307s Standard deviations: 307s [1] 1.210280 0.208063 0.177790 0.062694 0.014423 307s ---------------------------------------------------------- 307s ========================================================== 307s > dodata(method="cov") 307s 307s Call: dodata(method = "cov") 307s Data Set n p k e1 e2 307s ========================================================== 307s heart 12 2 2 685.776266 13.127306 307s Scores: 307s PC1 PC2 307s 1 8.18562 1.17998 307s 2 65.41185 -2.80723 307s 3 1.86039 -1.70646 307s 4 -2.26910 2.44051 307s 5 20.19603 -1.47331 307s 6 -14.46264 7.05759 307s 7 6.91264 1.99823 307s 8 -28.95436 -3.81624 307s 9 -0.61523 -1.09711 307s 10 -27.62427 -3.33575 307s 11 -13.17788 0.37931 307s 12 49.94879 -1.62675 307s ------------- 307s Call: 307s PcaCov(x = x) 307s 307s Standard deviations: 307s [1] 26.1873 3.6232 307s ---------------------------------------------------------- 307s starsCYG 47 2 2 0.280150 0.007389 307s Scores: 307s PC1 PC2 307s 1 0.272263 -0.07964458 307s 2 0.804544 0.03382837 307s 3 -0.040587 -0.14464760 307s 4 0.804544 0.03382837 307s 5 0.222468 -0.14305159 307s 6 0.512941 -0.02420304 307s 7 -0.378928 -0.51924735 307s 8 0.341045 0.11236831 307s 9 0.592550 -0.23812462 307s 10 0.163442 -0.06357822 307s 11 0.638370 -1.02323643 307s 12 0.498667 -0.05242075 307s 13 0.476291 0.00142479 307s 14 -0.947664 -0.26343572 307s 15 -0.699020 -0.01711057 307s 16 -0.363464 0.06475681 307s 17 -1.024352 -0.02972862 307s 18 -0.759174 0.12317995 307s 19 -0.786925 -0.06478250 307s 20 0.796654 -1.04660568 307s 21 -0.580307 -0.03463751 307s 22 -0.738591 -0.01126825 307s 23 -0.521748 0.08812607 307s 24 -0.086135 0.09457052 307s 25 0.065975 -0.03907968 307s 26 -0.284322 0.05307219 307s 27 -0.303309 -0.07553370 307s 28 -0.052738 -0.02155274 307s 29 -0.580638 -0.10534741 307s 30 0.953478 -1.07986770 307s 31 -0.527590 0.04855502 307s 32 0.171408 0.12730538 307s 33 0.274054 0.00095808 307s 34 1.192364 -1.10502882 307s 35 -0.628641 -0.08815176 307s 36 0.694595 0.11071187 307s 37 0.167026 0.09762710 307s 38 0.274054 0.00095808 307s 39 0.246168 0.08594248 307s 40 0.617380 -0.06994769 307s 41 -0.329735 0.01934346 307s 42 0.115770 0.02432733 307s 43 0.400071 0.03289494 307s 44 0.392768 -0.01656886 307s 45 0.605229 0.05314718 307s 46 0.036628 0.03601196 307s 47 -0.442606 0.07644144 307s ------------- 307s Call: 307s PcaCov(x = x) 307s 307s Standard deviations: 307s [1] 0.529292 0.085957 307s ---------------------------------------------------------- 307s phosphor 18 2 2 288.018150 22.020514 307s Scores: 307s PC1 PC2 307s 1 2.7987 -19.015683 307s 2 -20.4311 -0.032022 307s 3 -21.8198 4.589809 307s 4 -11.7869 -6.837833 307s 5 -16.9357 2.664785 307s 6 12.9132 -25.602526 307s 7 1.5249 -6.351664 307s 8 -8.0984 2.416616 307s 9 -8.6979 4.843680 307s 10 14.3903 -12.732868 307s 11 -2.9462 -0.760656 307s 12 11.7427 2.991004 307s 13 14.8400 0.459849 307s 14 9.2449 3.095095 307s 15 19.4860 -3.336883 307s 16 -9.4156 -7.096788 307s 17 23.3759 -1.737460 307s 18 19.9173 5.092467 307s ------------- 307s Call: 307s PcaCov(x = x) 307s 307s Standard deviations: 307s [1] 16.9711 4.6926 307s ---------------------------------------------------------- 307s stackloss 21 3 3 28.153060 8.925048 307s Scores: 307s PC1 PC2 PC3 307s [1,] 10.538448 13.596944 12.84989 307s [2,] 9.674846 14.098881 12.89733 307s [3,] 8.993255 9.221043 9.94062 307s [4,] 1.744427 3.649104 0.17292 307s [5,] 0.980215 2.223126 1.34874 307s [6,] 1.362321 2.936115 0.76083 307s [7,] 6.926040 0.637480 -0.11170 307s [8,] 6.926040 0.637480 -0.11170 307s [9,] 0.046655 0.977727 -2.46930 307s [10,] -7.909092 0.926343 0.80232 307s [11,] -0.136672 -3.591094 0.37539 307s [12,] -1.382381 -3.802146 1.01074 307s [13,] -6.181887 -0.077532 0.70744 307s [14,] 3.699843 -4.885854 -0.40226 307s [15,] -2.768005 -7.507870 -6.08487 307s [16,] -5.358811 -6.002058 -5.94256 307s [17,] -17.067135 1.738055 -5.86637 307s [18,] -11.021920 -1.775507 -6.19842 307s [19,] -9.776212 -1.564455 -6.83377 307s [20,] -6.075508 0.369252 -2.08345 307s [21,] 6.301743 2.706174 8.79509 307s ------------- 307s Call: 307s PcaCov(x = x) 307s 307s Standard deviations: 307s [1] 5.3059 2.9875 1.3020 307s ---------------------------------------------------------- 307s salinity 28 3 3 11.801732 3.961826 307s Scores: 307s PC1 PC2 PC3 307s 1 -1.59888 1.582157 0.135248 307s 2 -2.26975 2.429177 1.107832 307s 3 -6.79543 -2.034636 0.853876 307s 4 -6.36795 -0.602960 -0.267268 307s 5 -6.42044 -1.520259 5.022962 307s 6 -5.13821 1.225470 0.016977 307s 7 -3.24014 1.998671 -0.123418 307s 8 -0.93998 2.789889 -0.515656 307s 9 -0.30856 -2.424345 -1.422752 307s 10 2.20362 -2.800513 1.142127 307s 11 1.38120 -2.076832 2.515630 307s 12 0.44997 0.207439 -0.152835 307s 13 1.21669 1.193701 -0.277116 307s 14 3.31664 1.306627 1.213342 307s 15 2.08484 -3.774814 0.905400 307s 16 -3.64862 -4.677257 9.046484 307s 17 -0.46124 -1.411762 1.706719 307s 18 -2.13038 0.890401 -0.633349 307s 19 -0.23610 -2.262304 -1.885048 307s 20 1.70337 -1.970773 -0.781880 307s 21 2.67273 1.038742 -0.610945 307s 22 4.24561 1.547290 0.108927 307s 23 2.99619 -4.785343 3.094945 307s 24 1.64474 -3.564562 3.432429 307s 25 1.11703 -1.158030 0.237700 307s 26 2.30707 0.069668 -0.735809 307s 27 3.59356 0.860498 -0.611380 307s 28 4.57550 1.300407 0.589307 307s ------------- 307s Call: 307s PcaCov(x = x) 307s 307s Standard deviations: 307s [1] 3.43536 1.99043 0.94546 307s ---------------------------------------------------------- 307s hbk 75 3 3 1.436470 1.181766 307s Scores: 307s PC1 PC2 PC3 307s 1 31.105415 -4.714217 10.4566165 307s 2 31.707650 -5.748724 10.7682402 307s 3 33.366131 -4.625897 12.1570167 307s 4 34.173377 -6.069657 12.4466895 307s 5 33.780418 -5.508823 11.9872893 307s 6 32.493478 -4.684595 10.5679819 307s 7 32.592637 -5.235522 10.3765493 307s 8 31.293363 -4.865797 10.9379676 307s 9 33.160964 -5.714260 12.3098920 307s 10 31.919786 -5.384537 12.3374332 307s 11 38.231962 -6.810641 13.5994385 307s 12 39.290479 -5.393906 15.2942554 307s 13 39.418445 -7.326461 11.5194898 307s 14 43.906584 -13.214819 8.3282743 307s 15 1.906326 0.716061 -0.8635112 307s 16 0.263255 0.926016 -1.9009292 307s 17 -1.776489 -1.072332 -0.5496140 307s 18 0.464648 0.702441 0.0482897 307s 19 0.267826 -1.283779 -0.2925812 307s 20 2.122108 0.165970 -0.8924686 307s 21 0.937217 0.548532 -0.4132196 307s 22 0.423273 -1.781869 -0.0323061 307s 23 0.047532 0.018909 -1.1259327 307s 24 -0.490041 -0.520202 -1.1065753 307s 25 -2.143049 0.720869 -0.0495474 307s 26 1.094748 -1.459175 0.2226246 307s 27 2.070705 0.898573 0.0023229 307s 28 -0.294998 0.830258 0.5929001 307s 29 -1.242995 0.300216 -0.2010507 307s 30 0.147958 0.439099 2.0003038 307s 31 0.170818 1.440946 -0.9755627 307s 32 -0.958531 -1.199730 -1.0129867 307s 33 0.697307 -0.874343 -0.7260649 307s 34 -2.278946 0.261106 0.4196544 307s 35 1.962829 0.809318 0.2033113 307s 36 0.626631 -0.600666 0.8004036 307s 37 0.550885 -1.881448 0.7382776 307s 38 -1.249717 0.336214 -0.9349845 307s 39 -1.106696 1.569418 0.1869576 307s 40 -0.684034 -0.939963 -0.1034965 307s 41 1.559314 1.551408 0.3660323 307s 42 -0.538741 -0.447358 1.6361099 307s 43 -0.252685 -2.080564 -0.7765259 307s 44 0.217012 1.027281 1.7015154 307s 45 -1.497600 1.349234 -0.2698932 307s 46 0.100388 1.026443 1.5390401 307s 47 -0.811117 2.195271 -0.5208141 307s 48 1.462210 1.321318 0.5600144 307s 49 1.383976 0.740714 -0.7348906 307s 50 1.636773 -0.215464 0.3195369 307s 51 -0.530918 0.759743 -1.2069247 307s 52 -0.109566 2.107455 -0.5315473 307s 53 -0.564334 -0.060847 2.3910630 307s 54 -0.272234 -1.122711 -1.5060028 307s 55 -0.608660 -1.197219 -0.5255609 307s 56 0.565430 -0.710345 -1.3708230 307s 57 -1.115629 0.888816 -0.4186014 307s 58 1.351288 -0.374815 -1.1980618 307s 59 0.998016 -0.151228 0.9007970 307s 60 0.124017 -0.764846 1.9005963 307s 61 1.189858 -1.905264 0.7721322 307s 62 -2.190589 0.579614 -0.1377914 307s 63 -0.518278 -0.931130 -1.4534768 307s 64 2.124566 0.194391 -0.0327092 307s 65 0.154218 1.050861 1.1309885 307s 66 -1.197852 -1.044147 -0.2265269 307s 67 -0.114174 -0.094763 -0.5168926 307s 68 -2.201115 0.032271 0.8573493 307s 69 -1.307843 1.104815 -0.7741270 307s 70 0.691449 -0.676665 1.0004603 307s 71 1.150975 0.050861 -0.0717068 307s 72 -0.457293 -0.861871 0.1026350 307s 73 -0.392258 -0.897451 0.9178065 307s 74 -0.584658 -1.450471 0.3201857 307s 75 -0.972517 -0.063777 1.8223995 307s ------------- 307s Call: 307s PcaCov(x = x) 307s 307s Standard deviations: 307s [1] 1.1985 1.0871 1.0086 307s ---------------------------------------------------------- 307s milk 86 8 8 5.758630 2.224809 307s Scores: 307s PC1 PC2 PC3 PC4 PC5 PC6 307s 1 5.7090867 1.388263 0.0055924 0.3510505 -0.7335114 -1.41950731 307s 2 6.5825186 0.480410 -1.1356236 -0.3250838 -0.7343177 -1.71595400 307s 3 0.7433619 -1.749281 0.2510521 0.3450575 0.2996413 -0.34585702 307s 4 5.5733255 -1.588521 0.8934908 -0.3412408 0.0087626 0.07235942 307s 5 -1.3030839 0.142394 0.8487785 -0.5847851 0.0588053 -0.08968553 307s 6 1.7708705 0.674240 -0.4153759 -0.1915734 0.1382138 0.12454293 307s 7 2.3570866 0.381017 -0.8771357 -0.3739365 0.2918453 0.13437364 307s 8 2.5700714 0.695006 0.0061108 -0.4323695 0.1643797 -0.00469369 307s 9 -1.1725766 -2.713291 1.0677483 -0.0647875 0.1183120 -0.10762785 307s 10 -3.1357225 -1.255175 0.0666017 0.5083690 -0.1096080 -0.00647493 307s 11 -9.5333894 -1.608943 2.7307809 0.1690156 -0.1682415 -0.06597478 307s 12 -13.6028505 0.941083 2.0136258 -0.1076520 -0.0475905 -0.15295614 307s 13 -10.9497471 0.048776 -0.8765307 0.1518572 0.1428294 -0.00064406 307s 14 -12.6558378 -0.219444 1.1396273 -0.3734679 0.2875578 -0.23870524 307s 15 -10.6924790 -1.818075 3.4560731 -0.1177943 0.1101199 -0.19708172 307s 16 -3.0258070 -0.203186 1.2835368 0.5799363 0.3237454 0.23168871 307s 17 -0.7498665 -2.977505 1.6310512 0.6305329 0.3994006 0.06594881 307s 18 -2.5093526 0.924459 0.0899818 -0.4026675 0.2963072 0.11324019 307s 19 -1.9689970 -1.051282 1.4659908 0.3870104 -0.0708083 -0.02148354 307s 20 0.2695886 -1.646440 0.7597630 0.1750131 -0.3418142 0.21515143 307s 21 -3.3470252 1.989939 0.2887021 -0.3599779 0.0771965 0.16867095 307s 22 -1.4659204 0.777242 0.4090149 -0.1248050 0.1916768 -0.23160291 307s 23 -0.4944476 1.634130 0.8915509 0.1222296 -0.1231015 -0.08351169 307s 24 -0.8945477 1.239223 1.1117165 0.6018455 0.0912200 -0.01204668 307s 25 -4.1499992 1.860190 1.6062973 -0.2139736 -0.1140169 0.16632426 307s 26 -1.2647012 1.188058 1.1893430 -0.2740862 -0.0971504 -0.09851714 307s 27 -3.4280131 -0.267150 1.1969552 0.0354366 0.8482718 -0.18977667 307s 28 1.6896630 3.793723 0.7706325 0.1007287 0.0317704 -0.11269816 307s 29 3.9258127 1.691428 0.1850999 0.4485202 -0.2969916 0.16594044 307s 30 0.3178322 1.577233 0.4455231 -0.1687197 -0.1587136 -0.00823174 307s 31 0.9562350 2.258138 -1.4672169 0.2675668 0.1910110 0.03177387 307s 32 0.6738452 0.470764 -1.3496896 0.3524049 0.2008218 -0.36957179 307s 33 1.5980690 0.413899 0.1999664 0.4232293 0.0768479 -0.04627841 307s 34 0.4365091 -0.626490 0.4718364 0.3392252 0.2554060 -0.19018602 307s 35 -1.1184804 2.124234 0.2650931 0.4791171 0.2927791 -0.01579964 307s 36 3.6673986 1.659798 0.6138972 -0.1092158 -0.2705583 -0.16494176 307s 37 0.0867143 2.541765 -0.4572593 0.0024263 0.2163300 -0.20116352 307s 38 1.4191839 2.315690 0.1365887 0.1028375 0.1595780 -0.02049460 307s 39 -1.8062960 0.845438 1.1469588 0.5022406 0.1603011 -0.08751261 307s 40 3.4380914 -1.358545 0.1956896 0.6314649 0.0716078 -0.21591535 307s 41 3.4608782 1.828575 0.2012565 0.1064437 -0.7454169 -1.64629924 307s 42 6.4162310 -0.402642 0.8070441 0.5146855 0.0331594 0.04373032 307s 43 2.5906567 0.897993 -1.2612252 -0.2620162 -0.1432569 -0.10279385 307s 44 5.0299750 0.203721 0.0439110 0.8775684 -0.9536011 0.15153452 307s 45 -0.3555392 0.454930 0.1173992 0.4688991 0.1137820 0.18752442 307s 46 -0.4155426 1.892410 0.8649578 0.1827426 -0.0186113 -0.04029205 307s 47 1.9328817 0.121936 -3.9578157 -0.1135807 0.2971001 0.18733657 307s 48 -0.3947656 1.028405 -1.0370498 0.4467257 -0.1445498 0.16878692 307s 49 -2.8829860 0.279064 -1.4443310 0.5889970 -0.1883118 0.16947945 307s 50 3.2797246 -2.443968 0.4100655 0.4278962 -0.4414712 0.08598366 307s 51 -1.9272930 -0.622137 -1.5136862 -0.0483369 -0.0272502 0.16006066 307s 52 -5.7161590 -0.298434 -0.5216578 0.1385780 -0.2435931 0.10628617 307s 53 -1.1933277 -0.125878 -0.7556261 -0.3129372 -0.3166453 0.03078643 307s 54 -0.5994394 -0.031069 -0.1296378 0.0061490 -0.1869578 0.09839221 307s 55 0.4104586 0.733465 -0.2088065 -0.3645266 -0.1830137 0.04705775 307s 56 -0.2227671 -0.724741 0.1007592 -0.0838897 -0.1939960 -0.04223579 307s 57 -1.5706297 -0.292436 1.0849660 -0.2559591 -0.0917278 -0.27423151 307s 58 -0.4102168 1.263831 0.9082556 -0.4592777 -0.0676902 0.11089798 307s 59 -1.9640736 -1.340173 -0.3652736 -0.1267573 0.0775692 -0.07977644 307s 60 -1.7490968 -0.941370 -0.0849901 -0.3453455 0.2858594 0.06413468 307s 61 -0.1583416 -1.699326 0.2385988 -0.2231496 -0.0513883 -0.12227279 307s 62 2.2124878 -1.942366 0.0743514 0.2627321 -0.2844018 -0.15848039 307s 63 2.4578489 0.226019 0.1148050 -0.2715718 0.2322085 0.22346659 307s 64 2.4578489 0.226019 0.1148050 -0.2715718 0.2322085 0.22346659 307s 65 -0.3779208 -2.987354 0.6819006 0.1942611 0.0529259 0.01315140 307s 66 -2.6385498 -1.331204 -0.0367809 -0.2327572 0.1845076 -0.08521680 307s 67 0.0526645 -1.301299 0.0912198 0.1634869 -0.0068236 0.24131589 307s 68 -1.1013065 -2.004809 -1.9168056 0.0260663 -0.2029903 -0.12625268 307s 69 -0.9495853 -0.831697 0.0389476 -0.2123483 -0.0202267 0.38463410 307s 70 2.6935893 5.369312 0.6987368 -4.5754846 -9.6833013 -2.32910628 307s 71 -2.4037611 -1.983509 0.3109848 -0.1015686 -0.0071432 0.06410351 307s 72 2.0795505 -0.392730 -0.4534128 -0.4054224 -0.0312781 0.25408988 307s 73 -2.0038405 -2.874605 -0.6269939 0.2408421 0.5184666 0.11140104 307s 74 -11.2683996 -0.361851 3.9219448 0.4045689 -0.2203308 0.05930132 307s 75 -0.1028287 -2.295813 -0.7769187 0.3071821 0.4537196 0.00522380 307s 76 -1.8466137 -0.425825 -1.1261209 -0.1760585 0.0165729 -0.10698465 307s 77 -8.4124493 -1.174820 2.2700712 0.4213953 0.3446597 -0.20636892 307s 78 1.1103236 -1.299480 -0.5787732 -0.1455945 0.0732148 -0.01806218 307s 79 -0.5451834 -0.620170 -0.7830595 -0.1746479 0.0723052 -0.26017118 307s 80 -3.8647223 1.126328 1.3299567 0.2645241 -0.1881443 0.00485531 307s 81 0.7690939 0.887363 0.0513096 -0.2730980 0.0076447 -0.07590882 307s 82 2.7287618 -1.435327 0.1602865 0.4465859 0.2129425 0.16104418 307s 83 2.2241485 -0.042822 -0.8316486 -0.1230697 -0.1193057 -0.35207561 307s 84 0.2452905 0.491732 -2.0050683 0.0286567 -0.1159415 -0.24887542 307s 85 1.0655845 -2.360746 2.2456131 -0.1479972 -0.1186670 -0.14020891 307s 86 -0.0091659 0.952208 -1.3429189 -0.2944676 -0.2433277 0.15354490 307s PC7 PC8 307s 1 -0.09778744 2.3157e-03 307s 2 0.05189698 1.8077e-03 307s 3 0.70506895 1.2838e-03 307s 4 -0.08541140 3.2781e-04 307s 5 0.11768945 8.3496e-04 307s 6 -0.17886391 1.5222e-03 307s 7 0.14143613 1.3261e-04 307s 8 -0.07724578 7.1241e-04 307s 9 -0.12298048 -7.0110e-04 307s 10 0.07569878 2.3093e-05 307s 11 0.29299858 -3.4542e-04 307s 12 0.07764899 -2.1390e-03 307s 13 -0.08945524 -2.2633e-03 307s 14 0.03597787 -1.8891e-03 307s 15 0.11780498 -2.0279e-03 307s 16 0.46501534 -2.3266e-03 307s 17 0.08603290 -2.4073e-03 307s 18 0.52605757 -9.8822e-04 307s 19 0.31007227 -1.3919e-03 307s 20 0.61582059 -2.3549e-05 307s 21 0.01199350 -6.1649e-05 307s 22 0.03654587 1.3302e-05 307s 23 0.27549986 -3.6759e-04 307s 24 -0.04155354 -2.9882e-04 307s 25 0.11473708 -7.9629e-04 307s 26 0.06673183 -8.3728e-04 307s 27 0.16937729 -9.5775e-04 307s 28 -0.41753592 -7.5544e-05 307s 29 -0.03693100 -2.2481e-04 307s 30 0.08461537 -1.3611e-04 307s 31 0.02476253 -1.4319e-04 307s 32 -0.09756048 -1.2234e-04 307s 33 0.06442434 -2.4915e-04 307s 34 -0.17828409 -9.5882e-05 307s 35 0.00881239 -7.1427e-05 307s 36 -0.01041003 -2.8489e-04 307s 37 0.15994729 -3.1472e-04 307s 38 -0.22386895 6.1384e-04 307s 39 0.03666242 2.8506e-04 307s 40 0.35883231 -8.3062e-05 307s 41 0.18521851 8.5509e-04 307s 42 0.00733985 -6.4477e-04 307s 43 0.35466617 3.2923e-04 307s 44 -0.74952524 -7.6869e-05 307s 45 0.09907237 7.9128e-04 307s 46 0.05119980 1.0606e-03 307s 47 -0.48571583 -9.3780e-04 307s 48 -0.27463442 -2.7037e-04 307s 49 0.06787536 -3.0554e-05 307s 50 0.08499400 3.1181e-04 307s 51 -0.09197457 1.1213e-04 307s 52 -0.24513244 3.9100e-04 307s 53 0.24012780 3.2068e-04 307s 54 0.07999888 3.5689e-04 307s 55 -0.09825475 6.6675e-04 307s 56 0.05133674 -7.2984e-05 307s 57 -0.10302363 -2.0693e-04 307s 58 -0.12323360 -1.6620e-04 307s 59 -0.05119989 -1.1016e-03 307s 60 0.00082131 -3.2951e-04 307s 61 0.08128272 -1.1550e-04 307s 62 -0.01789040 -1.1579e-04 307s 63 -0.07188070 -7.8367e-04 307s 64 -0.07188070 -7.8367e-04 307s 65 0.00917085 -2.6800e-05 307s 66 0.03121573 -5.3492e-05 307s 67 0.12202335 -3.0466e-04 307s 68 -0.04764366 -2.6126e-04 307s 69 0.13828337 -3.9331e-04 307s 70 0.10401069 4.2870e-03 307s 71 -0.14369640 3.7669e-05 307s 72 -0.10334451 -2.6456e-04 307s 73 0.17655402 1.0917e-04 307s 74 0.26779696 1.8685e-03 307s 75 -0.75016549 2.1079e-05 307s 76 0.01802016 7.7555e-04 307s 77 0.13081368 6.4286e-04 307s 78 0.01409131 4.9476e-04 307s 79 0.06643384 2.6590e-04 307s 80 -0.12624376 5.9801e-04 307s 81 -0.14074469 -3.2172e-04 307s 82 0.09228230 4.4064e-04 307s 83 -0.06352151 -3.6274e-04 307s 84 -0.02642452 -3.9742e-04 307s 85 -0.03502188 6.9814e-04 307s 86 -0.11749109 -5.1283e-04 307s ------------- 307s Call: 307s PcaCov(x = x) 307s 307s Standard deviations: 307s [1] 2.39971451 1.49157920 0.93184037 0.33183258 0.19628996 0.16485446 0.12784351 307s [8] 0.00052622 307s ---------------------------------------------------------- 307s bushfire 38 5 5 11393.979994 197.523453 307s Scores: 307s PC1 PC2 PC3 PC4 PC5 307s 1 -91.383 -16.17804 0.56195 -0.252428 1.261840 307s 2 -93.033 -13.93251 -0.67212 0.042287 0.470924 307s 3 -85.400 -10.72512 -3.09832 -1.224797 -0.504718 307s 4 -68.381 -12.12202 -3.31950 -0.676880 -0.228383 307s 5 -36.742 -21.04171 -1.98872 0.397655 -0.932613 307s 6 -12.095 -30.21719 0.59595 2.100702 0.384714 307s 7 -227.949 -71.40450 35.57308 -7.880296 -2.710415 307s 8 -262.815 -111.81228 -11.04574 2.397832 -13.646407 307s 9 -263.767 -114.13702 -13.71407 3.131736 -13.825200 307s 10 -264.312 -90.69643 9.72320 0.967173 -8.800150 307s 11 -266.681 -72.85993 16.55010 0.291092 -8.373583 307s 12 -274.050 -18.41395 20.74273 -2.464589 -1.505967 307s 13 -218.299 19.16040 7.69765 0.069012 0.054846 307s 14 29.646 10.52526 -7.50754 0.855493 1.966680 307s 15 159.575 3.86633 -6.95837 -2.753953 0.616068 307s 16 114.286 2.47164 0.62690 -3.146317 -0.501623 307s 17 111.289 3.45086 1.97182 -0.303064 -0.094416 307s 18 99.626 -1.80416 4.88197 -0.013096 -1.438397 307s 19 103.353 -3.50426 3.58993 1.578169 -1.317194 307s 20 113.769 0.84544 3.28254 2.204926 0.131167 307s 21 95.186 3.50703 4.97153 0.916181 0.351658 307s 22 86.996 4.00938 2.95209 1.281788 1.920404 307s 23 -44.232 8.50898 6.30689 -1.038871 0.400078 307s 24 -99.527 13.81377 1.75130 -0.260669 0.394804 307s 25 -34.855 5.99709 -0.57224 -1.660513 -0.620158 307s 26 -41.265 2.94659 -1.04825 -2.243950 -0.440017 307s 27 -56.148 10.14428 -5.41858 0.321752 -0.608412 307s 28 -32.366 20.27795 -8.60687 3.806572 -1.267249 307s 29 -22.438 34.73585 -11.19123 8.296154 -0.511610 307s 30 -79.035 37.05713 -1.51591 9.892959 -1.618635 307s 31 49.465 39.37414 5.95714 22.874813 -1.883481 307s 32 304.825 30.19205 37.68900 45.175923 -1.293939 307s 33 341.237 7.04985 65.43451 44.553009 -3.148116 307s 34 337.467 6.16879 66.48222 43.278480 -3.688631 307s 35 342.929 7.38548 66.91291 43.941556 -1.937887 307s 36 340.143 6.70203 67.85433 42.479161 -3.873639 307s 37 337.931 7.43184 70.50828 42.333220 -2.645830 307s 38 339.281 8.07267 71.34405 42.400459 -2.392774 307s ------------- 307s Call: 307s PcaCov(x = x) 307s 307s Standard deviations: 307s [1] 106.7426 14.0543 4.9184 1.8263 1.0193 307s ---------------------------------------------------------- 307s ========================================================== 307s > dodata(method="grid") 307s 307s Call: dodata(method = "grid") 307s Data Set n p k e1 e2 307s ========================================================== 307s heart 12 2 2 516.143549 23.932102 307s Scores: 307s PC1 PC2 307s [1,] 6.4694 3.8179 307s [2,] 61.7387 19.1814 307s [3,] 1.4722 -1.0161 307s [4,] -3.8056 1.5127 307s [5,] 18.6760 5.3303 307s [6,] -16.8411 1.7900 307s [7,] 4.9962 4.1638 307s [8,] -26.8665 -13.3010 307s [9,] -1.0648 -1.2690 307s [10,] -25.7734 -12.4037 307s [11,] -13.3987 -4.0751 307s [12,] 46.7700 15.1272 307s ------------- 307s Call: 307s PcaGrid(x = x) 307s 307s Standard deviations: 307s [1] 22.719 4.892 307s ---------------------------------------------------------- 307s starsCYG 47 2 2 0.473800 0.026486 307s Scores: 307s PC1 PC2 307s [1,] 0.181489 -0.0300854 307s [2,] 0.695337 0.1492475 307s [3,] -0.120738 -0.1338110 307s [4,] 0.695337 0.1492475 307s [5,] 0.140039 -0.0992368 307s [6,] 0.413314 0.0551030 307s [7,] -0.409428 -0.5478860 307s [8,] 0.225647 0.1690378 307s [9,] 0.519123 -0.1471454 307s [10,] 0.071513 -0.0277935 307s [11,] 0.663045 -0.9203119 307s [12,] 0.402691 0.0253179 307s [13,] 0.373739 0.0759321 307s [14,] -1.005756 -0.3654219 307s [15,] -0.789968 -0.0898580 307s [16,] -0.467328 0.0334465 307s [17,] -1.111148 -0.1431778 307s [18,] -0.867242 0.0417806 307s [19,] -0.871200 -0.1481782 307s [20,] 0.823011 -0.9236455 307s [21,] -0.669994 -0.0923582 307s [22,] -0.829959 -0.0890246 307s [23,] -0.627294 0.0367802 307s [24,] -0.195929 0.0978059 307s [25,] -0.028257 -0.0157122 307s [26,] -0.387346 0.0317797 307s [27,] -0.390054 -0.0981920 307s [28,] -0.148231 -0.0132120 307s [29,] -0.661454 -0.1625514 307s [30,] 0.982767 -0.9369769 307s [31,] -0.628127 -0.0032112 307s [32,] 0.055476 0.1625819 307s [33,] 0.173158 0.0501056 307s [34,] 1.222924 -0.9319795 307s [35,] -0.711235 -0.1515118 307s [36,] 0.576613 0.2117347 307s [37,] 0.054851 0.1325884 307s [38,] 0.173158 0.0501056 307s [39,] 0.134833 0.1309216 307s [40,] 0.522665 0.0228177 307s [41,] -0.428171 -0.0073782 307s [42,] 0.013192 0.0534392 307s [43,] 0.294173 0.0975945 307s [44,] 0.293132 0.0476054 307s [45,] 0.495172 0.1434167 307s [46,] -0.066790 0.0551060 307s [47,] -0.547311 0.0351134 307s ------------- 307s Call: 307s PcaGrid(x = x) 307s 307s Standard deviations: 307s [1] 0.68833 0.16275 307s ---------------------------------------------------------- 307s phosphor 18 2 2 392.155327 50.657228 307s Scores: 307s PC1 PC2 307s 1 5.6537 -15.2305 307s 2 -21.2150 -1.8862 307s 3 -23.5966 2.3112 307s 4 -11.2742 -6.6000 307s 5 -18.4067 1.5202 307s 6 16.9795 -19.4039 307s 7 1.5964 -3.1666 307s 8 -9.7354 3.2429 307s 9 -10.8594 5.4759 307s 10 15.5585 -6.5279 307s 11 -4.0058 1.2905 307s 12 9.4815 8.2139 307s 13 13.0640 6.4346 307s 14 7.0230 7.7600 307s 15 18.4378 3.7658 307s 16 -8.9047 -6.3253 307s 17 21.8748 6.1900 307s 18 16.9843 12.0801 307s ------------- 307s Call: 307s PcaGrid(x = x) 307s 307s Standard deviations: 307s [1] 19.8029 7.1174 307s ---------------------------------------------------------- 307s stackloss 21 3 3 109.445054 16.741203 307s Scores: 307s PC1 PC2 PC3 307s [1,] 15.136434 14.82909 -2.0387704 307s [2,] 14.393636 15.46816 -1.8391595 307s [3,] 12.351209 10.12290 -2.3458098 307s [4,] 2.510036 2.07589 1.8251581 307s [5,] 1.767140 1.78527 -0.0088651 307s [6,] 2.138588 1.93058 0.9081465 307s [7,] 6.966825 -1.75851 0.6274924 307s [8,] 6.966825 -1.75851 0.6274924 307s [9,] -0.089513 -1.09062 2.2894224 307s [10,] -7.146340 2.65628 -0.8983590 307s [11,] -0.461157 -3.09532 -2.6948576 307s [12,] -1.575403 -2.60157 -3.4122582 307s [13,] -5.660744 1.37815 -1.2975809 307s [14,] 2.881484 -5.50628 -2.5762898 307s [15,] -4.917360 -9.13772 0.0676942 307s [16,] -7.145755 -7.22052 0.6665270 307s [17,] -17.173481 1.87173 4.3780920 307s [18,] -11.973894 -2.60174 2.9808153 307s [19,] -10.859648 -3.09549 3.6982160 307s [20,] -6.031899 0.15817 1.2270803 307s [21,] 8.451640 4.98077 -5.4038839 307s ------------- 307s Call: 307s PcaGrid(x = x) 307s 307s Standard deviations: 307s [1] 10.4616 4.0916 2.8271 307s ---------------------------------------------------------- 307s salinity 28 3 3 14.911546 8.034974 307s Scores: 307s PC1 PC2 PC3 307s 1 -2.72400 0.79288 0.688038 307s 2 -3.45684 0.86162 1.941690 307s 3 -5.73471 -4.79507 0.129202 307s 4 -6.17045 -3.04372 -0.352797 307s 5 -4.72453 -5.59543 4.144851 307s 6 -5.75447 -1.07062 0.579975 307s 7 -4.40759 0.47731 0.680203 307s 8 -2.76360 2.30716 0.540271 307s 9 -0.28782 -1.40644 -2.373399 307s 10 2.64361 -1.43362 -0.266957 307s 11 1.91078 -1.66975 1.312215 307s 12 -0.40661 0.68573 -0.200135 307s 13 -0.14911 1.88993 0.044001 307s 14 1.99005 2.43874 1.373229 307s 15 2.88128 -2.21263 -0.863674 307s 16 -0.12935 -8.28831 6.483875 307s 17 -0.16895 -1.68742 0.905190 307s 18 -3.08054 0.23753 -0.269165 307s 19 -0.38685 -1.08501 -2.736860 307s 20 1.45520 -0.33209 -1.686406 307s 21 1.13834 2.53553 -0.381657 307s 22 2.48522 3.42927 0.417050 307s 23 4.56487 -3.36542 0.711908 307s 24 2.94072 -3.08490 1.556939 307s 25 0.82140 -0.26895 -0.406490 307s 26 1.17794 1.61119 -0.863764 307s 27 2.02965 2.80707 -0.489050 307s 28 2.98039 3.21462 0.747622 307s ------------- 307s Call: 307s PcaGrid(x = x) 307s 307s Standard deviations: 307s [1] 3.86155 2.83460 0.95394 307s ---------------------------------------------------------- 307s hbk 75 3 3 3.714805 3.187126 307s Scores: 307s PC1 PC2 PC3 307s 1 8.423138 24.765818 19.413334 307s 2 7.823138 25.295092 20.356662 307s 3 9.023138 27.411905 20.218454 307s 4 8.223138 28.010236 21.568269 307s 5 8.623138 27.442650 21.123471 307s 6 9.123138 25.601873 20.279943 307s 7 8.823138 25.463855 20.770811 307s 8 8.223138 25.264348 19.451646 307s 9 8.023138 27.373593 20.716984 307s 10 7.623138 26.752275 19.666288 307s 11 9.323138 31.108975 24.313778 307s 12 10.323138 33.179719 23.469966 307s 13 10.323138 29.958667 26.231274 307s 14 9.323138 29.345676 34.207755 307s 15 1.723138 -0.077538 0.754886 307s 16 1.423138 -1.818609 -0.080979 307s 17 -1.676862 -1.872341 -0.686878 307s 18 0.623138 -0.077633 -0.548955 307s 19 -0.876862 -0.576068 0.716574 307s 20 1.423138 -0.016144 1.261078 307s 21 0.923138 -0.223313 0.041619 307s 22 -1.276862 -0.299937 1.038679 307s 23 0.323138 -1.327742 0.057038 307s 24 -0.376862 -1.626860 0.034051 307s 25 -0.676862 -1.550331 -2.266849 307s 26 -0.776862 0.290637 1.184359 307s 27 1.623138 0.750760 0.417361 307s 28 0.123138 -0.016334 -1.346603 307s 29 -0.476862 -1.220468 -1.338846 307s 30 -0.476862 1.387213 -1.339036 307s 31 1.423138 -1.059368 -0.824991 307s 32 -1.176862 -1.833934 0.118433 307s 33 -0.176862 -0.691099 0.908323 307s 34 -1.276862 -1.251213 -2.243862 307s 35 1.423138 0.858128 0.325317 307s 36 -0.576862 0.574335 0.102918 307s 37 -1.576862 0.413330 0.892903 307s 38 -0.176862 -1.841691 -1.085702 307s 39 0.423138 -0.752683 -2.205550 307s 40 -1.176862 -0.905930 -0.211430 307s 41 1.723138 0.819721 -0.479993 307s 42 -1.376862 0.666284 -1.093554 307s 43 -1.576862 -1.304659 1.061761 307s 44 0.123138 1.203126 -1.553772 307s 45 0.223138 -1.358581 -2.151818 307s 46 0.123138 1.003714 -1.569097 307s 47 1.323138 -1.159169 -2.136494 307s 48 1.423138 0.919427 -0.472331 307s 49 1.423138 -0.246300 0.340737 307s 50 0.423138 0.727773 0.716479 307s 51 0.623138 -1.665267 -0.771259 307s 52 1.623138 -0.798657 -1.607314 307s 53 -1.376862 1.310494 -1.645816 307s 54 -0.576862 -1.879908 0.716669 307s 55 -1.176862 -1.235698 0.164407 307s 56 0.123138 -1.296997 0.962055 307s 57 0.123138 -1.304849 -1.545920 307s 58 0.723138 -0.714086 1.207441 307s 59 -0.076862 0.881115 0.026199 307s 60 -1.376862 1.226208 -0.549050 307s 61 -1.276862 0.781504 1.322377 307s 62 -0.776862 -1.657699 -2.174806 307s 63 -0.576862 -1.956627 0.409888 307s 64 1.123138 0.712448 0.915891 307s 65 0.323138 0.689271 -1.392672 307s 66 -1.476862 -1.289430 -0.441492 307s 67 -0.076862 -0.905930 -0.211430 307s 68 -1.576862 -0.852389 -2.213213 307s 69 0.323138 -1.696011 -1.676276 307s 70 -0.676862 0.773747 0.118243 307s 71 0.523138 0.152524 0.371386 307s 72 -1.076862 -0.606812 -0.188443 307s 73 -1.376862 0.114117 -0.433924 307s 74 -1.676862 -0.522431 0.018632 307s 75 -1.376862 0.612552 -1.699453 307s ------------- 307s Call: 307s PcaGrid(x = x) 307s 307s Standard deviations: 307s [1] 1.9274 1.7853 1.6714 307s ---------------------------------------------------------- 307s milk 86 8 8 9.206694 2.910585 307s Scores: 307s PC1 PC2 PC3 PC4 PC5 PC6 307s [1,] 6.090978 0.590424 1.1644466 -0.3835606 1.0342867 -0.4752288 307s [2,] 6.903009 -0.575027 0.8613622 -1.1221795 0.7221616 -1.3097951 307s [3,] 0.622903 -1.594239 1.2122863 -0.0555128 0.3252629 -0.2799581 307s [4,] 5.282665 -1.815742 2.2543268 0.9824543 -0.5345577 -0.7331037 307s [5,] -1.039753 0.663906 0.3353811 0.3070599 -0.3224317 -0.4056666 307s [6,] 2.247786 0.218255 -0.3382923 0.1270005 -0.0271307 -0.2035021 307s [7,] 2.784293 -0.291678 -0.4897587 0.0198481 0.0752345 -0.5986846 307s [8,] 2.942266 0.315608 0.1603961 0.3568462 -0.0647311 -0.5316127 307s [9,] -1.420086 -1.751212 1.7027572 0.0708340 -0.9226517 0.0738411 307s [10,] -2.921113 -0.727554 0.0113966 -0.3915037 -0.0772913 0.6062573 307s [11,] -9.568075 0.792291 1.0217507 0.2554182 -0.6254883 0.8899897 307s [12,] -12.885166 3.423607 -1.2579351 -0.4300397 -0.4094558 1.1727128 307s [13,] -10.038470 1.274931 -2.6913262 -1.6219658 -0.3284974 1.1228303 307s [14,] -12.044003 2.096254 -1.2859668 -0.9602250 -0.7937418 0.8264019 307s [15,] -10.798341 1.159257 1.4870766 0.3248231 -1.0787537 0.8723637 307s [16,] -2.841629 0.500846 0.4771762 0.5975365 0.3197882 0.5804087 307s [17,] -1.150691 -1.978038 2.3229313 0.5275273 -0.5339514 0.5421631 307s [18,] -1.992369 1.131288 -0.8385615 0.1156462 0.2253010 -0.3393814 307s [19,] -1.999699 -0.252876 1.2229972 0.5081648 0.0082612 0.3373454 307s [20,] 0.091385 -1.439422 1.1836134 0.6297789 0.0961407 -0.2126653 307s [21,] -2.571346 2.280701 -1.2845660 0.1463583 0.0949331 0.0902039 307s [22,] -0.990078 1.087033 -0.1638640 -0.0351472 0.0743205 -0.0040605 307s [23,] -0.010631 1.704171 0.0038808 0.5765418 0.6086460 0.0329995 307s [24,] -0.440350 1.500798 0.2769870 0.5556999 0.4751445 0.6516120 307s [25,] -3.578249 2.672783 -0.3534268 0.7398104 0.1108289 0.2704730 307s [26,] -0.854914 1.626684 0.2301131 0.5530224 0.0662862 -0.0999969 307s [27,] -3.175381 0.762609 0.5101987 0.0849002 -0.2137237 0.2729808 307s [28,] 2.599844 3.370137 -0.5174736 0.7409946 0.6853156 0.2430943 307s [29,] 4.395534 0.823611 0.1610152 0.8184845 0.7665555 0.0779724 307s [30,] 0.843794 1.438263 -0.2366601 0.4600650 0.3424806 -0.1768083 307s [31,] 1.890815 1.266935 -1.8218143 -0.3909337 0.8390127 0.1026821 307s [32,] 1.300145 -0.085976 -0.8965312 -0.8855787 0.4156780 0.1478055 307s [33,] 1.923087 0.137638 0.3487435 0.2958367 0.4245932 0.1566678 307s [34,] 0.615762 -0.390711 0.8107376 0.0295536 -0.1169590 0.2940241 307s [35,] -0.372946 2.037079 -0.7663299 0.1907237 0.6959350 0.5366205 307s [36,] 4.068134 1.129044 0.5492962 0.7640964 0.4799859 -0.4080205 307s [37,] 0.937617 2.048258 -1.2326566 -0.0942856 0.7885267 -0.1004018 307s [38,] 2.141223 1.877022 -0.5178216 0.3750868 0.4767003 0.1240656 307s [39,] -1.403505 1.327163 0.3165610 0.3989824 0.3505825 0.5915956 307s [40,] 3.337528 -1.689495 1.4737175 0.2584843 0.4308444 -0.0810597 307s [41,] 3.938506 1.384908 0.8103687 -0.5875595 1.1616535 -0.6492603 307s [42,] 6.327471 -1.061362 1.9861187 1.1016484 0.3512405 -0.1540592 307s [43,] 3.120160 -0.064108 -0.8370717 -0.2229341 0.5623447 -0.7152184 307s [44,] 5.290520 -0.669008 0.8597130 0.5518503 0.2470856 0.6454703 307s [45,] 0.058291 0.356399 -0.1896007 0.2427518 0.3705541 0.3975085 307s [46,] 0.150881 1.942057 -0.1140726 0.5656469 0.5227623 0.2151825 307s [47,] 2.870881 -1.446283 -2.8450062 -1.7292144 -0.0888429 -0.1347003 307s [48,] 0.335593 0.500884 -1.3154520 -0.3874864 0.3449038 0.5387692 307s [49,] -2.179494 -0.021237 -1.7792344 -0.8445930 0.4435338 0.6547961 307s [50,] 2.968304 -2.588546 1.8552104 0.4590101 -0.1755089 -0.0550378 307s [51,] -1.399208 -0.820296 -1.3660014 -0.8890243 -0.2344105 0.1236943 307s [52,] -5.112989 0.318983 -1.3852993 -0.8461529 -0.3467685 0.7349666 307s [53,] -0.773103 -0.267333 -0.8154896 -0.3783062 0.0113880 -0.3304648 307s [54,] -0.244565 -0.066211 -0.2541557 0.0043037 0.0390890 0.0074067 307s [55,] 0.894921 0.516411 -0.4443369 0.0708354 -0.0637890 -0.2799646 307s [56,] -0.038706 -0.588256 0.3166588 -0.0196663 -0.1793472 -0.1179341 307s [57,] -1.377469 0.428939 0.7502430 0.1458375 -0.3818977 -0.0380258 307s [58,] 0.042787 1.488605 0.0252606 0.6377516 -0.1524172 -0.1898723 307s [59,] -1.734357 -0.966494 -0.1026850 -0.5656888 -0.4831402 0.0308069 307s [60,] -1.501991 -0.544918 -0.0837127 -0.2362486 -0.5382026 -0.1351338 307s [61,] -0.175102 -1.339436 0.8403933 -0.0907428 -0.4846145 -0.2795153 307s [62,] 2.100915 -2.004702 1.3031556 -0.0041957 -0.2067776 -0.0793613 307s [63,] 2.735432 -0.102018 0.3215454 0.5331904 -0.1499209 -0.3536272 307s [64,] 2.735432 -0.102018 0.3215454 0.5331904 -0.1499209 -0.3536272 307s [65,] -0.665219 -2.325594 1.6287363 0.0607163 -0.6996720 0.1353325 307s [66,] -2.439244 -0.737375 0.0187770 -0.4561269 -0.5425315 -0.0208332 307s [67,] 0.121564 -1.214385 0.4877707 0.1809998 -0.1943262 0.0662506 307s [68,] -0.804267 -2.238327 -0.8547917 -1.3449926 -0.3577254 -0.0293779 307s [69,] -0.761319 -0.676391 -0.0245494 0.2262894 -0.3396872 -0.1166505 307s [70,] 3.385399 4.360467 -0.7946150 -0.0417895 0.4474362 -4.6626174 307s [71,] -2.364955 -1.257673 0.5226907 -0.2346145 -0.7838777 0.1815821 307s [72,] 2.334511 -0.794530 0.0175620 0.1848925 -0.3437761 -0.4522442 307s [73,] -2.023440 -2.449907 0.2525041 -0.6657474 -0.5509480 0.2118442 307s [74,] -11.180192 2.456516 1.1036540 0.8711496 -0.3833194 1.3548314 307s [75,] 0.058297 -2.094811 0.3075211 -0.8052760 -0.9527729 0.5850255 307s [76,] -1.355742 -0.464355 -1.0183333 -0.8525619 -0.1577144 -0.0767323 307s [77,] -8.296881 0.945092 0.8088967 -0.0071463 -0.4527530 1.0614233 307s [78,] 1.251696 -1.460466 0.2511701 -0.2717606 -0.3158308 -0.2964813 307s [79,] -0.192380 -0.662365 -0.3671703 -0.6722658 -0.1243452 -0.2388225 307s [80,] -3.355201 1.915096 -0.1086672 0.3560062 0.0956865 0.6974817 307s [81,] 1.245305 0.736787 -0.1662155 0.1309822 -0.0122872 -0.2182528 307s [82,] 2.679561 -1.666401 1.1576691 0.3960280 -0.0059146 0.0584136 307s [83,] 2.596651 -0.556654 -0.0807307 -0.4468501 0.0964927 -0.3922894 307s [84,] 0.959377 -0.272038 -1.5879803 -1.1153057 0.3412508 -0.1281556 307s [85,] 0.602737 -1.384591 2.8844745 0.9479144 -0.7946454 -0.2014038 307s [86,] 0.698125 0.335743 -1.5248055 -0.4443037 0.0768256 -0.1999790 307s PC7 PC8 307s [1,] 0.9281777 -0.05158594 307s [2,] 0.8397946 -0.04276628 307s [3,] -0.5189230 0.04913688 307s [4,] -0.0178377 0.01578074 307s [5,] -0.0129237 0.01056305 307s [6,] -0.0764270 0.01469518 307s [7,] -0.3059779 0.04237267 307s [8,] -0.0684673 0.02289928 307s [9,] -0.2549733 -0.00832119 307s [10,] -0.0578118 -0.01894694 307s [11,] 0.0415545 -0.03474479 307s [12,] 0.0869267 -0.04485633 307s [13,] -0.2843977 -0.03100709 307s [14,] -0.3375083 -0.02155574 307s [15,] -0.1718828 -0.02996980 307s [16,] -0.4176728 0.03232381 307s [17,] -0.5923252 0.01765700 307s [18,] -0.3190679 0.04476532 307s [19,] -0.0279426 -0.00236626 307s [20,] 0.1299811 0.00586022 307s [21,] 0.0474059 0.00563264 307s [22,] -0.1240299 0.01123557 307s [23,] 0.2232631 0.00551065 307s [24,] 0.0122404 0.00060079 307s [25,] 0.2627442 -0.00824800 307s [26,] 0.2257329 -0.00440907 307s [27,] -0.8496967 0.05266701 307s [28,] 0.3473502 -0.00500580 307s [29,] 0.4172329 -0.00542705 307s [30,] 0.2773880 -0.00014648 307s [31,] -0.1224270 0.02372808 307s [32,] -0.2224748 0.00757892 307s [33,] -0.0633903 0.01236118 307s [34,] -0.2616599 0.00561781 307s [35,] -0.1671986 0.01988458 307s [36,] 0.4502086 -0.00418541 307s [37,] -0.0773232 0.02768282 307s [38,] 0.0464683 0.01134849 307s [39,] -0.0927182 0.00555823 307s [40,] -0.2162796 0.02467605 307s [41,] 0.9440753 -0.04806541 307s [42,] -0.0078920 0.02022925 307s [43,] 0.1152244 0.02074199 307s [44,] 1.0406693 -0.08815111 307s [45,] -0.1376804 0.01424369 307s [46,] 0.1673461 0.00442877 307s [47,] -0.4125225 0.01038694 307s [48,] 0.1556289 -0.02103354 307s [49,] 0.0434415 -0.01782739 307s [50,] 0.2518610 -0.02154540 307s [51,] -0.1186185 -0.00881133 307s [52,] 0.1507435 -0.04523343 307s [53,] 0.2161208 -0.00967982 307s [54,] 0.1374909 -0.00783970 307s [55,] 0.2417108 -0.00895268 307s [56,] 0.1253846 -0.01188643 307s [57,] 0.1390898 -0.01831232 307s [58,] 0.2219634 -0.00364174 307s [59,] -0.2045636 -0.00589047 307s [60,] -0.3679942 0.01673699 307s [61,] -0.0705611 -0.00273407 307s [62,] 0.1447701 -0.02026768 307s [63,] -0.1854788 0.02686899 307s [64,] -0.1854788 0.02686899 307s [65,] -0.2626650 -0.00376657 307s [66,] -0.3044266 0.00484197 307s [67,] -0.1358811 0.00605789 307s [68,] -0.0551482 -0.02379410 307s [69,] -0.0914891 0.00812122 307s [70,] 10.2524854 -0.64367029 307s [71,] -0.1326972 -0.01666774 307s [72,] 0.0051905 0.00656777 307s [73,] -0.8236843 0.03367265 307s [74,] 0.2140104 -0.04092219 307s [75,] -0.5684260 -0.00987116 307s [76,] -0.1225779 -0.00204629 307s [77,] -0.4235612 -0.00450631 307s [78,] -0.1935155 0.00973901 307s [79,] -0.1615883 0.00518643 307s [80,] 0.2915052 -0.02960159 307s [81,] 0.0908823 0.00038216 307s [82,] -0.3392789 0.02605374 307s [83,] 0.1112141 -0.00629308 307s [84,] 0.0510771 -0.00845572 307s [85,] 0.0748700 -0.01174487 307s [86,] 0.2488127 -0.01446339 307s ------------- 307s Call: 307s PcaGrid(x = x) 307s 307s Standard deviations: 307s [1] 3.034253 1.706044 1.167717 0.670864 0.536071 0.396285 0.266625 0.020768 307s ---------------------------------------------------------- 307s bushfire 38 5 5 38232.614428 1580.825276 307s Scores: 307s PC1 PC2 PC3 PC4 PC5 307s [1,] -67.120 -23.70481 -1.06551 1.129721 1.311630 307s [2,] -69.058 -21.42113 -1.54798 0.983735 0.430774 307s [3,] -61.939 -17.23665 -3.81386 -0.635074 -0.600149 307s [4,] -44.952 -16.53458 -5.16114 0.411753 -0.390518 307s [5,] -12.644 -21.62271 -7.14146 3.519877 -1.211923 307s [6,] 12.820 -27.86930 -7.66114 7.230422 0.040330 307s [7,] -194.634 -100.67730 27.43084 -0.026242 -0.134248 307s [8,] -229.349 -129.75912 -19.46346 25.591651 -18.592601 307s [9,] -230.306 -131.28743 -22.22175 27.251157 -19.214683 307s [10,] -231.118 -115.10815 3.70208 16.303210 -10.573515 307s [11,] -234.540 -100.24984 13.67112 10.325539 -8.727961 307s [12,] -246.507 -51.03515 27.61698 -5.352226 0.514087 307s [13,] -195.712 -5.81324 20.04485 -9.226807 1.721886 307s [14,] 49.881 16.90911 -9.97400 -1.900739 2.190429 307s [15,] 179.545 23.96999 -18.71166 -2.987136 1.332713 307s [16,] 135.356 15.81282 -9.24353 -4.703584 0.971669 307s [17,] 132.350 16.65014 -7.01838 -2.428578 1.346198 307s [18,] 121.499 9.75832 -4.45699 -1.587450 0.131923 307s [19,] 125.222 9.17601 -5.88919 0.582516 -0.061642 307s [20,] 135.112 14.63812 -5.90351 0.411704 1.460488 307s [21,] 116.581 14.47390 -3.04021 -1.842579 2.005998 307s [22,] 108.223 14.62103 -4.47428 -1.196993 3.288463 307s [23,] -22.095 3.26439 6.58391 -6.164581 2.125258 307s [24,] -77.831 3.46616 6.59280 -6.373595 1.545789 307s [25,] -13.092 3.41344 -0.99296 -5.076733 0.299636 307s [26,] -19.206 -0.17007 -1.84209 -4.858675 0.347945 307s [27,] -35.022 6.54155 -3.12767 -3.556587 -0.327873 307s [28,] -12.651 20.14894 -4.61607 -2.025539 -1.214190 307s [29,] -4.404 36.39823 -3.81590 -0.633155 -0.602027 307s [30,] -60.018 30.40980 9.44610 -1.763156 -0.765133 307s [31,] 67.689 47.40087 12.70229 9.791794 -0.671751 307s [32,] 324.134 63.46147 31.52512 30.099817 2.406344 307s [33,] 364.639 38.84260 51.20467 30.648590 3.218678 307s [34,] 361.089 37.09494 52.00522 29.394356 2.861158 307s [35,] 366.403 38.88889 52.31879 29.878844 4.650618 307s [36,] 363.821 37.40859 53.10394 28.286557 2.922632 307s [37,] 361.761 37.21276 55.73012 27.648760 4.477279 307s [38,] 363.106 37.78395 56.56345 27.460078 4.845396 307s ------------- 307s Call: 307s PcaGrid(x = x) 307s 307s Standard deviations: 307s [1] 195.5316 39.7596 11.7329 7.3743 1.7656 307s ---------------------------------------------------------- 307s ========================================================== 307s > 307s > ## IGNORE_RDIFF_BEGIN 307s > dodata(method="proj") 307s 307s Call: dodata(method = "proj") 307s Data Set n p k e1 e2 307s ========================================================== 307s heart 12 2 2 512.772467 29.052346 307s Scores: 307s PC1 PC2 307s [1,] 6.7568 3.2826 307s [2,] 63.0869 14.1293 307s [3,] 1.3852 -1.1318 307s [4,] -3.6709 1.8153 307s [5,] 19.0457 3.8035 307s [6,] -16.6413 3.1452 307s [7,] 5.3163 3.7464 307s [8,] -27.8536 -11.0863 307s [9,] -1.1638 -1.1788 307s [10,] -26.6915 -10.2803 307s [11,] -13.6842 -2.9790 307s [12,] 47.8395 11.2980 307s ------------- 307s Call: 307s PcaProj(x = x) 307s 307s Standard deviations: 307s [1] 22.644 5.390 307s ---------------------------------------------------------- 307s starsCYG 47 2 2 0.470874 0.024681 307s Scores: 307s PC1 PC2 307s [1,] 0.181333 -3.1013e-02 307s [2,] 0.696091 1.4569e-01 307s [3,] -0.121421 -1.3319e-01 307s [4,] 0.696091 1.4569e-01 307s [5,] 0.139530 -9.9951e-02 307s [6,] 0.413590 5.2989e-02 307s [7,] -0.412224 -5.4579e-01 307s [8,] 0.226508 1.6788e-01 307s [9,] 0.518364 -1.4980e-01 307s [10,] 0.071370 -2.8159e-02 307s [11,] 0.658332 -9.2369e-01 307s [12,] 0.402815 2.3259e-02 307s [13,] 0.374123 7.4020e-02 307s [14,] -1.007611 -3.6028e-01 307s [15,] -0.790417 -8.5818e-02 307s [16,] -0.467151 3.5835e-02 307s [17,] -1.111866 -1.3750e-01 307s [18,] -0.867017 4.6214e-02 307s [19,] -0.871946 -1.4372e-01 307s [20,] 0.818278 -9.2784e-01 307s [21,] -0.670457 -8.8932e-02 307s [22,] -0.830403 -8.4781e-02 307s [23,] -0.627097 3.9987e-02 307s [24,] -0.195426 9.8806e-02 307s [25,] -0.028337 -1.5568e-02 307s [26,] -0.387178 3.3760e-02 307s [27,] -0.390551 -9.6197e-02 307s [28,] -0.148297 -1.2454e-02 307s [29,] -0.662277 -1.5917e-01 307s [30,] 0.977965 -9.4199e-01 307s [31,] -0.628135 -7.2164e-16 307s [32,] 0.056306 1.6230e-01 307s [33,] 0.173412 4.9220e-02 307s [34,] 1.218143 -9.3822e-01 307s [35,] -0.712000 -1.4787e-01 307s [36,] 0.577688 2.0878e-01 307s [37,] 0.055528 1.3231e-01 307s [38,] 0.173412 4.9220e-02 307s [39,] 0.135501 1.3023e-01 307s [40,] 0.522775 2.0145e-02 307s [41,] -0.428203 -5.1892e-03 307s [42,] 0.013465 5.3371e-02 307s [43,] 0.294668 9.6089e-02 307s [44,] 0.293371 4.6106e-02 307s [45,] 0.495898 1.4088e-01 307s [46,] -0.066508 5.5447e-02 307s [47,] -0.547124 3.7911e-02 307s ------------- 307s Call: 307s PcaProj(x = x) 307s 307s Standard deviations: 307s [1] 0.6862 0.1571 307s ---------------------------------------------------------- 307s phosphor 18 2 2 388.639033 51.954664 307s Scores: 307s PC1 PC2 307s 1 5.8164 -15.1691 307s 2 -21.1936 -2.1132 307s 3 -23.6199 2.0585 307s 4 -11.2029 -6.7203 307s 5 -18.4220 1.3231 307s 6 17.1862 -19.2211 307s 7 1.6302 -3.1493 307s 8 -9.7695 3.1385 307s 9 -10.9174 5.3594 307s 10 15.6275 -6.3610 307s 11 -4.0194 1.2476 307s 12 9.3931 8.3149 307s 13 12.9944 6.5741 307s 14 6.9396 7.8348 307s 15 18.3964 3.9629 307s 16 -8.8365 -6.4202 307s 17 21.8073 6.4237 307s 18 16.8541 12.2611 307s ------------- 307s Call: 307s PcaProj(x = x) 307s 307s Standard deviations: 307s [1] 19.714 7.208 307s ---------------------------------------------------------- 307s stackloss 21 3 3 97.347030 38.052774 307s Scores: 307s PC1 PC2 PC3 307s [1,] 19.08066 -9.06092 -2.64544 307s [2,] 18.55152 -9.90152 -2.76118 307s [3,] 15.04269 -5.37517 -2.31373 307s [4,] 2.79667 -1.78925 1.70823 307s [5,] 2.21768 -1.17513 -0.10495 307s [6,] 2.50717 -1.48219 0.80164 307s [7,] 5.97151 3.25438 2.40268 307s [8,] 5.97151 3.25438 2.40268 307s [9,] -0.68332 0.30263 2.42495 307s [10,] -5.83478 -4.04630 -2.91819 307s [11,] -1.07253 3.51914 -1.87651 307s [12,] -1.89116 2.98559 -2.89885 307s [13,] -4.77650 -2.36509 -2.68671 307s [14,] 1.33353 6.57450 -0.50696 307s [15,] -7.45351 7.08878 1.37012 307s [16,] -9.04093 4.56697 1.02289 307s [17,] -16.15938 -7.50855 0.30909 307s [18,] -12.45541 -1.62432 1.11929 307s [19,] -11.63677 -1.09077 2.14162 307s [20,] -5.79275 -2.08680 -0.06187 307s [21,] 10.13623 -0.76824 -4.70180 307s ------------- 307s Call: 307s PcaProj(x = x) 307s 307s Standard deviations: 307s [1] 9.8665 6.1687 3.2669 307s ---------------------------------------------------------- 307s salinity 28 3 3 12.120566 8.431549 307s Scores: 307s PC1 PC2 PC3 307s 1 -2.52547 1.45945 -1.1943e-01 307s 2 -3.32298 2.15704 8.7594e-01 307s 3 -6.64947 -3.26398 1.0135e+00 307s 4 -6.64427 -1.81382 -1.6392e-01 307s 5 -6.16898 -2.52222 5.1373e+00 307s 6 -5.87594 0.26440 -2.4425e-15 307s 7 -4.23084 1.46250 -2.8008e-01 307s 8 -2.21502 2.76478 -8.3789e-01 307s 9 -0.40186 -2.17785 -1.6702e+00 307s 10 2.27089 -1.84923 7.3391e-01 307s 11 1.37935 -1.29276 2.1418e+00 307s 12 -0.22635 0.60372 -5.0980e-01 307s 13 0.27224 1.73920 -7.0505e-01 307s 14 2.36592 2.40462 6.4320e-01 307s 15 2.37640 -2.83174 5.2669e-01 307s 16 -2.49175 -4.77664 9.0404e+00 307s 17 -0.61250 -1.11672 1.4398e+00 307s 18 -2.91853 0.63310 -8.3666e-01 307s 19 -0.39732 -2.02029 -2.1396e+00 307s 20 1.47554 -1.23407 -1.1712e+00 307s 21 1.70104 1.92401 -1.1292e+00 307s 22 3.14437 2.81928 -5.2415e-01 307s 23 3.62890 -3.51450 2.6740e+00 307s 24 2.04538 -2.63992 3.0718e+00 307s 25 0.77088 -0.54783 -1.3370e-01 307s 26 1.57254 0.89176 -1.2089e+00 307s 27 2.63610 1.97075 -1.1855e+00 307s 28 3.55112 2.67606 -6.0915e-02 307s ------------- 307s Call: 307s PcaProj(x = x) 307s 307s Standard deviations: 307s [1] 3.4815 2.9037 1.3810 307s ---------------------------------------------------------- 307s hbk 75 3 3 3.801978 3.574192 307s Scores: 307s PC1 PC2 PC3 307s 1 28.747049 15.134042 2.3959241 307s 2 29.021724 16.318941 2.6207988 307s 3 31.271908 15.869319 3.4420860 307s 4 31.586189 17.508798 3.6246706 307s 5 31.299168 16.838093 3.2402573 307s 6 30.037754 15.591930 2.1421166 307s 7 29.888160 16.139376 1.9750096 307s 8 28.994463 15.350167 2.8226275 307s 9 30.758047 16.820526 3.7269602 307s 10 29.759314 16.079531 4.0486097 307s 11 35.301371 19.637962 3.7433562 307s 12 37.193371 18.709303 4.9915250 307s 13 35.634808 20.497713 1.4740727 307s 14 36.816439 27.523024 -2.3006796 307s 15 1.237203 -0.331072 -1.3801401 307s 16 -0.451166 -1.118847 -1.9707479 307s 17 -2.604733 0.067276 0.0130015 307s 18 0.179177 -0.804398 -0.1285240 307s 19 -0.765512 0.982349 -0.2513990 307s 20 1.236727 0.259123 -1.4210070 307s 21 0.428326 -0.503724 -0.6830690 307s 22 -0.724774 1.507943 -0.0022175 307s 23 -0.745349 -0.330094 -1.0982084 307s 24 -1.407850 -0.011831 -0.8987075 307s 25 -2.190427 -1.732051 0.4497793 307s 26 0.058631 1.444044 0.0446166 307s 27 1.680557 -0.429402 -0.6031146 307s 28 -0.315122 -1.179169 0.5822607 307s 29 -1.563355 -1.026914 0.1040012 307s 30 0.329957 -0.633156 1.8533795 307s 31 -0.110108 -1.617131 -1.0958807 307s 32 -2.035875 0.463421 -0.6346632 307s 33 -0.356033 0.740564 -0.8116369 307s 34 -2.342887 -1.340168 0.9724491 307s 35 1.607131 -0.379763 -0.3747630 307s 36 0.084455 0.486671 0.6551654 307s 37 -0.436144 1.659467 0.7145344 307s 38 -1.754819 -1.076076 -0.6037590 307s 39 -0.904375 -2.161949 0.3436723 307s 40 -1.455274 0.331839 0.1499308 307s 41 1.539788 -1.212921 -0.1715110 307s 42 -0.688338 -0.048173 1.7491184 307s 43 -1.635822 1.539067 -0.5208916 307s 44 0.511762 -1.165641 1.5020865 307s 45 -1.454500 -2.099954 0.0219268 307s 46 0.362645 -1.208389 1.3758464 307s 47 -0.615800 -2.658098 -0.4629006 307s 48 1.426278 -1.027667 0.0582638 307s 49 0.809592 -0.533893 -1.1232120 307s 50 0.996105 0.469082 -0.0988805 307s 51 -1.036368 -1.227376 -1.0843166 307s 52 -0.016464 -2.331540 -0.6477169 307s 53 -0.376625 -0.405855 2.4526088 307s 54 -1.524100 0.621590 -1.2927429 307s 55 -1.588523 0.591668 -0.2559428 307s 56 -0.592710 0.529426 -1.4111404 307s 57 -1.306991 -1.538024 -0.1841717 307s 58 0.275991 0.491888 -1.4739863 307s 59 0.598971 0.196673 0.6208960 307s 60 -0.127953 0.485014 1.8571970 307s 61 0.140584 1.905037 0.5838465 307s 62 -2.305069 -1.617811 0.3880825 307s 63 -1.666479 0.357251 -1.1934779 307s 64 1.480143 0.248671 -0.5959984 307s 65 0.309561 -1.219790 0.9671263 307s 66 -1.986789 0.248245 0.1723620 307s 67 -0.765691 -0.269054 -0.4611368 307s 68 -2.232721 -1.090790 1.3915841 307s 69 -1.502453 -1.813763 -0.4936268 307s 70 0.170883 0.584046 0.8369571 307s 71 0.543623 0.043244 -0.3707674 307s 72 -1.168908 0.341335 0.2837393 307s 73 -0.902885 0.411872 1.0546196 307s 74 -1.425273 0.852445 0.5719123 307s 75 -0.898536 -0.555475 2.0107684 307s ------------- 307s Call: 307s PcaProj(x = x) 307s 307s Standard deviations: 307s [1] 1.9499 1.8906 1.2797 307s ---------------------------------------------------------- 307s milk 86 8 8 8.369408 3.530461 307s Scores: 307s PC1 PC2 PC3 PC4 PC5 PC6 307s [1,] 6.337004 -0.245000 0.7704092 -4.9848e-01 -1.6599e-01 1.1763e-01 307s [2,] 7.021899 1.030349 0.2832977 -1.2673e+00 -8.7296e-01 2.0547e-01 307s [3,] 0.600831 1.686247 0.9682032 -3.2663e-02 7.4112e-02 4.7412e-01 307s [4,] 5.206465 2.665956 1.5942253 9.8285e-01 -5.4159e-01 -2.0155e-01 307s [5,] -0.955757 -0.579889 0.3206393 5.1174e-01 -6.1684e-01 -3.8990e-02 307s [6,] 2.198695 0.073770 -0.5712493 1.9440e-01 -1.0237e-01 4.1825e-02 307s [7,] 2.695361 0.644049 -0.8645373 8.1894e-02 -2.6953e-01 1.6884e-01 307s [8,] 2.945361 0.137227 -0.2071463 5.0841e-01 -4.2075e-01 5.8589e-02 307s [9,] -1.539013 1.879894 1.6952390 1.6792e-01 -2.8195e-01 5.0563e-02 307s [10,] -2.977110 0.319666 0.3515636 -5.2496e-01 4.6898e-01 8.5978e-03 307s [11,] -9.375355 -1.638105 1.9026171 4.1237e-01 1.8768e-02 -1.8546e-01 307s [12,] -12.602600 -4.715888 0.0273004 -4.7798e-02 -1.2246e-02 9.6858e-03 307s [13,] -10.114331 -2.487462 -1.6331544 -1.5139e+00 4.1903e-01 2.8313e-01 307s [14,] -11.949336 -3.190157 -0.2146943 -5.0060e-01 -2.9537e-01 3.2160e-01 307s [15,] -10.595396 -1.905517 2.3716887 7.6651e-01 -3.3531e-01 1.9933e-02 307s [16,] -2.735720 -0.748282 0.6750464 7.2415e-01 5.5304e-01 2.2283e-01 307s [17,] -1.248116 2.131195 2.2596886 6.4958e-01 3.5634e-01 2.9021e-01 307s [18,] -1.904210 -1.285804 -0.7746460 3.0198e-01 -2.7407e-01 1.7500e-01 307s [19,] -1.902313 0.095461 1.3824711 5.0369e-01 2.2193e-01 -5.5628e-02 307s [20,] 0.123220 1.399444 1.1517634 3.2546e-01 7.8261e-02 -4.0733e-01 307s [21,] -2.436023 -2.524827 -1.0197416 3.4819e-01 -1.4914e-01 -4.3669e-02 307s [22,] -0.904931 -1.114894 -0.1235807 2.0285e-01 -1.6200e-01 2.5681e-01 307s [23,] 0.220231 -1.767325 0.0482262 6.4418e-01 9.8618e-02 -5.7683e-02 307s [24,] -0.274403 -1.561826 0.3820323 7.0016e-01 5.5220e-01 1.4376e-01 307s [25,] -3.306400 -2.980247 0.0252488 9.4001e-01 -1.0841e-01 -2.5303e-01 307s [26,] -0.658015 -1.625199 0.3021005 7.2702e-01 -3.0299e-01 -1.2339e-01 307s [27,] -3.137066 -0.774218 0.5577497 6.4188e-01 -8.0125e-02 7.7819e-01 307s [28,] 2.867950 -3.099435 -0.6435415 1.0366e+00 1.5908e-01 7.6524e-02 307s [29,] 4.523097 -0.527338 -0.1032516 6.4537e-01 4.7286e-01 -2.7166e-01 307s [30,] 1.002381 -1.376693 -0.2735956 5.0522e-01 -1.2750e-01 -1.6178e-01 307s [31,] 1.894615 -1.296202 -1.9117282 -3.8032e-01 4.6473e-01 3.1085e-01 307s [32,] 1.210291 0.067230 -0.9832930 -8.5379e-01 3.2823e-01 4.9994e-01 307s [33,] 1.964118 0.022175 0.1818518 3.0464e-01 3.5596e-01 1.4985e-01 307s [34,] 0.576738 0.567851 0.6982155 1.8415e-01 1.8695e-01 3.2706e-01 307s [35,] -0.231793 -2.143909 -0.6825523 4.0681e-01 5.4492e-01 3.6259e-01 307s [36,] 4.250883 -0.719760 0.2157706 7.7167e-01 -1.9064e-01 -2.0611e-01 307s [37,] 1.077364 -2.054664 -1.3064867 1.0043e-01 8.6092e-02 3.5416e-01 307s [38,] 2.259260 -1.653588 -0.6730692 5.7300e-01 1.6930e-01 1.6986e-01 307s [39,] -1.251576 -1.451593 0.4671580 5.8957e-01 4.2672e-01 2.2495e-01 307s [40,] 3.304245 1.998193 1.0941231 1.3734e-01 3.7012e-01 2.4142e-01 307s [41,] 4.286315 -1.280951 0.5856744 -6.0980e-01 -4.3090e-01 1.9801e-01 307s [42,] 6.343820 1.801880 1.3481119 1.0355e+00 2.9802e-01 -8.4501e-04 307s [43,] 3.119491 0.214077 -1.1216236 -3.8134e-01 -1.9523e-01 -2.6706e-02 307s [44,] 5.285254 0.938072 0.7440487 1.1539e-02 8.1629e-01 -7.9286e-01 307s [45,] 0.082429 -0.416631 -0.1588203 2.3098e-01 5.1867e-01 9.4503e-02 307s [46,] 0.357862 -1.951997 -0.0731829 7.0393e-01 1.8828e-01 1.5707e-02 307s [47,] 2.428744 1.522538 -3.0467213 -1.9114e+00 2.4638e-01 3.5871e-01 307s [48,] 0.282348 -0.697287 -1.1592508 -5.4929e-01 6.2199e-01 -5.4596e-02 307s [49,] -2.266009 -0.559548 -1.3794914 -1.1300e+00 7.8872e-01 -2.0411e-02 307s [50,] 2.868649 2.860857 1.6128307 6.7382e-02 2.2344e-01 -4.1484e-01 307s [51,] -1.596061 0.546812 -1.1779327 -1.0512e+00 1.3522e-01 -9.4865e-03 307s [52,] -5.186121 -1.000829 -0.7440599 -9.6302e-01 3.0732e-01 -1.7009e-01 307s [53,] -0.800232 0.049087 -0.6946842 -5.8284e-01 -2.1277e-01 -2.7004e-01 307s [54,] -0.246388 -0.030606 -0.1814302 -1.1632e-01 5.7767e-02 -1.8637e-01 307s [55,] 0.914315 -0.428594 -0.4919557 4.5039e-02 -2.7868e-01 -2.2140e-01 307s [56,] -0.061827 0.583572 0.3263056 -1.1589e-01 -1.2973e-01 -1.6518e-01 307s [57,] -1.295979 -0.421943 0.8410805 3.0441e-01 -3.9478e-01 -4.5233e-02 307s [58,] 0.174908 -1.343854 0.0115086 8.0227e-01 -3.9364e-01 -2.2918e-01 307s [59,] -1.869684 0.840823 0.0109543 -5.5536e-01 -1.4155e-01 1.0613e-01 307s [60,] -1.614271 0.557309 -0.0690787 -9.1753e-02 -3.0975e-01 1.6192e-01 307s [61,] -0.258192 1.434984 0.7684636 -1.1998e-01 -3.4662e-01 -4.8808e-02 307s [62,] 2.000275 2.204730 1.1194067 -2.3783e-01 5.9953e-02 -1.5836e-01 307s [63,] 2.694063 0.555482 -0.0340910 6.4470e-01 -2.2417e-01 1.9442e-02 307s [64,] 2.694063 0.555482 -0.0340910 6.4470e-01 -2.2417e-01 1.9442e-02 307s [65,] -0.822201 2.427550 1.5859438 -2.6715e-16 -1.9429e-15 1.0564e-14 307s [66,] -2.545586 0.605953 0.1469837 -3.5318e-01 -2.5871e-01 1.6901e-01 307s [67,] 0.028900 1.253717 0.4474540 5.3595e-02 1.6063e-01 -1.0980e-01 307s [68,] -1.086135 1.968868 -0.7220293 -1.6576e+00 6.2061e-02 -7.0998e-04 307s [69,] -0.836638 0.660453 0.0049966 1.3663e-01 -1.0131e-01 -2.4008e-01 307s [70,] 4.843092 -6.035092 0.8250084 -3.4481e+00 -4.8538e+00 -7.8407e+00 307s [71,] -2.500038 1.146245 0.6967314 -2.4611e-01 -1.4266e-01 -8.2996e-02 307s [72,] 2.220676 1.122951 -0.2444075 1.1066e-01 -3.1540e-01 -2.1344e-01 307s [73,] -2.310518 2.354552 0.2706503 -6.4192e-01 2.0566e-01 4.5520e-01 307s [74,] -10.802799 -3.462655 2.2031446 1.1326e+00 2.8049e-01 -2.9749e-01 307s [75,] -0.301038 2.284366 0.2440764 -6.9450e-01 2.6435e-01 4.3129e-01 307s [76,] -1.477936 0.245154 -0.8869850 -8.9900e-01 -9.8013e-02 1.1983e-01 307s [77,] -8.169236 -1.599780 1.4987144 3.7767e-01 2.4726e-01 3.8246e-01 307s [78,] 1.096654 1.646072 0.0591327 -3.3138e-01 -1.7936e-01 6.2716e-02 307s [79,] -0.289199 0.625796 -0.3974294 -6.6099e-01 -2.0857e-01 2.1190e-01 307s [80,] -3.160557 -2.282579 0.3255355 4.6181e-01 2.7753e-01 -1.5673e-01 307s [81,] 1.284356 -0.548854 -0.2907281 2.4017e-01 -2.5254e-01 -1.4289e-03 307s [82,] 2.562817 2.019485 0.8249162 3.2973e-01 3.3866e-01 1.3889e-01 307s [83,] 2.538825 0.759863 -0.3142506 -5.1028e-01 -2.0539e-01 8.8979e-02 307s [84,] 0.841123 0.110035 -1.5793120 -1.2807e+00 1.2332e-01 1.6224e-01 307s [85,] 0.636271 1.793014 2.6824860 1.0329e+00 -4.8850e-01 -2.3012e-01 307s [86,] 0.633183 -0.426511 -1.4791366 -6.1314e-01 -7.0534e-02 -2.3778e-01 307s PC7 PC8 307s [1,] 1.0196e-01 -1.7180e-03 307s [2,] 2.6131e-01 -8.5191e-03 307s [3,] 6.9637e-01 -8.0573e-03 307s [4,] -1.3548e-01 -1.4969e-03 307s [5,] 3.1443e-02 -2.7307e-03 307s [6,] -2.5079e-01 3.6450e-03 307s [7,] 4.5377e-02 -2.6071e-03 307s [8,] -1.6060e-01 -2.3761e-04 307s [9,] -1.5152e-01 -4.3079e-04 307s [10,] 9.1089e-02 1.9536e-03 307s [11,] 2.5654e-01 -1.4875e-03 307s [12,] -2.3798e-03 -1.0954e-04 307s [13,] -1.3687e-01 2.8402e-03 307s [14,] -6.5248e-02 -1.5114e-03 307s [15,] 3.7695e-02 -2.7827e-03 307s [16,] 3.8131e-01 -3.7990e-03 307s [17,] 4.5661e-02 -1.4965e-03 307s [18,] 3.9910e-01 -7.2703e-03 307s [19,] 2.9353e-01 -3.3342e-03 307s [20,] 6.0915e-01 -6.0837e-03 307s [21,] -1.0079e-01 1.0179e-03 307s [22,] -2.2945e-02 -1.0515e-03 307s [23,] 2.3631e-01 -2.5558e-03 307s [24,] -7.7207e-02 3.4800e-03 307s [25,] 1.4903e-02 -3.2430e-04 307s [26,] 3.8032e-03 -2.1705e-03 307s [27,] 3.7208e-02 -3.0631e-03 307s [28,] -4.8147e-01 6.1089e-03 307s [29,] -4.0388e-02 2.8549e-03 307s [30,] 3.4318e-02 -1.0014e-03 307s [31,] -2.2872e-02 1.8706e-03 307s [32,] -8.4542e-02 1.3368e-03 307s [33,] 4.5274e-02 5.3383e-04 307s [34,] -2.0048e-01 2.4727e-03 307s [35,] -5.6482e-02 2.9923e-03 307s [36,] -2.6046e-02 -1.2910e-03 307s [37,] 9.6038e-02 -1.8897e-03 307s [38,] -2.9035e-01 4.4317e-03 307s [39,] -4.6322e-03 2.4336e-03 307s [40,] 3.8686e-01 -3.9300e-03 307s [41,] 3.7834e-01 -7.8976e-03 307s [42,] -8.2037e-04 -4.3106e-05 307s [43,] 3.3467e-01 -5.2401e-03 307s [44,] -6.2170e-01 1.2840e-02 307s [45,] 5.3557e-02 2.9156e-03 307s [46,] 5.1785e-04 2.0738e-03 307s [47,] -5.2141e-01 5.7206e-03 307s [48,] -2.7669e-01 6.7329e-03 307s [49,] 8.4319e-02 3.8528e-03 307s [50,] 1.4210e-01 1.6961e-04 307s [51,] -1.1871e-01 2.6676e-03 307s [52,] -2.5036e-01 6.4121e-03 307s [53,] 2.2399e-01 -2.8200e-03 307s [54,] 5.6532e-02 4.9304e-04 307s [55,] -1.4343e-01 1.2558e-03 307s [56,] 4.1682e-02 -9.6490e-04 307s [57,] -1.3014e-01 -6.2709e-04 307s [58,] -2.1428e-01 8.2594e-04 307s [59,] -7.9775e-02 -8.9776e-04 307s [60,] -8.6835e-02 -1.0498e-03 307s [61,] 6.2470e-02 -2.7499e-03 307s [62,] 3.3052e-02 -3.2369e-04 307s [63,] -1.7137e-01 -3.1087e-04 307s [64,] -1.7137e-01 -3.1087e-04 307s [65,] 3.5496e-14 2.5975e-12 307s [66,] -2.2016e-02 -1.2206e-03 307s [67,] 8.5160e-02 -1.4837e-04 307s [68,] -2.2535e-03 1.9054e-04 307s [69,] 5.9976e-02 -8.6961e-04 307s [70,] 1.0448e+00 -2.0167e-02 307s [71,] -1.7609e-01 1.9378e-03 307s [72,] -1.7047e-01 2.6076e-04 307s [73,] 1.1885e-01 -8.1624e-04 307s [74,] 2.0942e-01 3.3164e-03 307s [75,] -7.7528e-01 9.9316e-03 307s [76,] -4.6285e-03 2.5153e-04 307s [77,] 7.0218e-02 1.5708e-03 307s [78,] -1.4859e-02 -6.7049e-04 307s [79,] 5.1054e-02 -2.0198e-03 307s [80,] -1.5770e-01 4.9579e-03 307s [81,] -1.9411e-01 4.4401e-04 307s [82,] 6.0634e-02 8.7960e-04 307s [83,] -4.4635e-02 -1.7048e-03 307s [84,] -2.3612e-03 -2.2242e-04 307s [85,] -5.5171e-02 -1.1222e-03 307s [86,] -1.4972e-01 1.4543e-03 307s ------------- 307s Call: 307s PcaProj(x = x) 307s 307s Standard deviations: 307s [1] 2.8929930 1.8789522 0.9946460 0.7479403 0.3744197 0.2596328 0.1421387 307s [8] 0.0025753 307s ---------------------------------------------------------- 307s bushfire 38 5 5 37473.439646 1742.633018 307s Scores: 307s PC1 PC2 PC3 PC4 PC5 307s [1,] -67.2152 -2.3010e+01 4.4179e+00 1.0892e+00 1.7536e+00 307s [2,] -69.0225 -2.1417e+01 2.5382e+00 1.1092e+00 9.3919e-01 307s [3,] -61.6651 -1.8580e+01 -6.1022e-01 -8.1124e-01 -1.6462e-01 307s [4,] -44.5883 -1.8234e+01 -3.9899e-01 -5.2145e-01 2.0050e-01 307s [5,] -12.2941 -2.2954e+01 3.5970e+00 1.1037e+00 -2.4384e-01 307s [6,] 13.0282 -2.8133e+01 8.7670e+00 3.4751e+00 1.3728e+00 307s [7,] -199.0774 -7.7956e+01 5.4935e+01 6.3134e+00 -1.9919e+00 307s [8,] -228.2849 -1.3258e+02 2.2340e+01 2.1656e+01 -1.2594e+01 307s [9,] -228.9164 -1.3560e+02 2.0463e+01 2.2625e+01 -1.2743e+01 307s [10,] -232.4703 -1.0661e+02 3.5597e+01 1.7915e+01 -7.7659e+00 307s [11,] -236.7410 -8.8072e+01 3.6632e+01 1.5095e+01 -7.4695e+00 307s [12,] -249.4091 -3.6830e+01 2.4010e+01 4.7317e+00 -1.2986e+00 307s [13,] -197.0450 4.2633e-14 4.9738e-14 1.1657e-13 -1.1369e-13 307s [14,] 50.9487 1.1397e+01 -1.1247e+01 -4.8733e+00 2.4511e+00 307s [15,] 180.7896 1.7571e+01 -8.0454e+00 -1.0582e+01 1.2714e+00 307s [16,] 135.6178 1.4189e+01 -4.9116e-01 -9.2701e+00 1.4021e-01 307s [17,] 132.5344 1.5577e+01 2.2990e-01 -6.4963e+00 7.3370e-01 307s [18,] 121.3422 1.0471e+01 4.5656e+00 -4.9831e+00 -5.2314e-01 307s [19,] 125.2722 9.0272e+00 3.7365e+00 -3.3313e+00 -2.9097e-01 307s [20,] 135.2370 1.4091e+01 2.0639e+00 -3.6800e+00 1.1733e+00 307s [21,] 116.4250 1.5147e+01 2.9085e+00 -4.8084e+00 1.2603e+00 307s [22,] 108.2925 1.4223e+01 7.7165e-01 -4.5065e+00 2.7943e+00 307s [23,] -22.8258 6.4234e+00 2.4654e+00 -3.9627e+00 7.9847e-01 307s [24,] -78.1850 4.6631e+00 -3.6818e+00 -2.7688e+00 5.8508e-01 307s [25,] -13.0417 2.7521e+00 -3.1955e+00 -4.6824e+00 -3.1085e-01 307s [26,] -19.1244 -9.5045e-01 -2.6771e+00 -4.7104e+00 -1.6172e-01 307s [27,] -34.4379 3.2761e+00 -9.2826e+00 -2.9861e+00 -3.3561e-01 307s [28,] -11.5852 1.4506e+01 -1.5649e+01 -1.6260e+00 -8.5347e-01 307s [29,] -2.9366 2.8741e+01 -2.2907e+01 3.9749e-01 3.5861e-02 307s [30,] -59.7518 2.8633e+01 -1.4710e+01 3.5226e+00 -9.9066e-01 307s [31,] 67.8017 4.7241e+01 -9.1255e+00 1.3201e+01 1.3500e-13 307s [32,] 321.9941 7.6188e+01 2.2491e+01 3.1537e+01 3.2368e+00 307s [33,] 359.5155 6.6710e+01 5.6061e+01 3.4541e+01 2.0718e+00 307s [34,] 355.8007 6.5695e+01 5.7430e+01 3.3578e+01 1.4640e+00 307s [35,] 361.1076 6.7577e+01 5.7402e+01 3.3832e+01 3.2618e+00 307s [36,] 358.3592 6.6791e+01 5.8643e+01 3.2720e+01 1.2487e+00 307s [37,] 355.9974 6.8071e+01 6.0927e+01 3.2560e+01 2.4898e+00 307s [38,] 357.2530 6.9073e+01 6.1517e+01 3.2523e+01 2.7558e+00 307s ------------- 307s Call: 307s PcaProj(x = x) 307s 307s Standard deviations: 307s [1] 193.5806 41.7449 16.7665 8.1585 1.6074 307s ---------------------------------------------------------- 307s ========================================================== 307s > ## IGNORE_RDIFF_END 307s > 307s > ## VT::14.11.2018 - commented out - on some platforms PcaHubert will choose only 1 PC 307s > ## and will show difference 307s > ## test.case.1() 307s > 307s > test.case.2() 307s [1] TRUE 307s [1] TRUE 307s [1] TRUE 307s [1] TRUE 307s [1] TRUE 307s [1] TRUE 307s [1] TRUE 307s [1] TRUE 307s [1] TRUE 307s [1] TRUE 307s > 307s BEGIN TEST tlda.R 307s 307s R version 4.3.3 (2024-02-29) -- "Angel Food Cake" 307s Copyright (C) 2024 The R Foundation for Statistical Computing 307s Platform: arm-unknown-linux-gnueabihf (32-bit) 307s 307s R is free software and comes with ABSOLUTELY NO WARRANTY. 307s You are welcome to redistribute it under certain conditions. 307s Type 'license()' or 'licence()' for distribution details. 307s 307s R is a collaborative project with many contributors. 307s Type 'contributors()' for more information and 307s 'citation()' on how to cite R or R packages in publications. 307s 307s Type 'demo()' for some demos, 'help()' for on-line help, or 307s 'help.start()' for an HTML browser interface to help. 307s Type 'q()' to quit R. 307s 308s > ## VT::15.09.2013 - this will render the output independent 308s > ## from the version of the package 308s > suppressPackageStartupMessages(library(rrcov)) 308s > library(MASS) 308s > 308s > ## VT::14.01.2020 308s > ## On some platforms minor differences are shown - use 308s > ## IGNORE_RDIFF_BEGIN 308s > ## IGNORE_RDIFF_END 308s > 308s > dodata <- function(method) { 308s + 308s + options(digits = 5) 308s + set.seed(101) # <<-- sub-sampling algorithm now based on R's RNG and seed 308s + 308s + tmp <- sys.call() 308s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 308s + cat("===================================================\n") 308s + 308s + cat("\nData: ", "hemophilia\n") 308s + data(hemophilia) 308s + show(rlda <- Linda(as.factor(gr)~., data=hemophilia, method=method)) 308s + show(predict(rlda)) 308s + 308s + cat("\nData: ", "anorexia\n") 308s + data(anorexia) 308s + show(rlda <- Linda(Treat~., data=anorexia, method=method)) 308s + show(predict(rlda)) 308s + 308s + cat("\nData: ", "Pima\n") 308s + data(Pima.tr) 308s + show(rlda <- Linda(type~., data=Pima.tr, method=method)) 308s + show(predict(rlda)) 308s + 308s + cat("\nData: ", "Forest soils\n") 308s + data(soil) 308s + soil1983 <- soil[soil$D == 0, -2] # only 1983, remove column D (always 0) 308s + 308s + ## This will not work within the function, of course 308s + ## - comment it out 308s + ## IGNORE_RDIFF_BEGIN 308s + rlda <- Linda(F~., data=soil1983, method=method) 308s + ## show(rlda) 308s + ## IGNORE_RDIFF_END 308s + show(predict(rlda)) 308s + 308s + cat("\nData: ", "Raven and Miller diabetes data\n") 308s + data(diabetes) 308s + show(rlda <- Linda(group~insulin+glucose+sspg, data=diabetes, method=method)) 308s + show(predict(rlda)) 308s + 308s + cat("\nData: ", "iris\n") 308s + data(iris) 308s + if(method != "mcdA") 308s + { 308s + show(rlda <- Linda(Species~., data=iris, method=method, l1med=TRUE)) 308s + show(predict(rlda)) 308s + } 308s + 308s + cat("\nData: ", "crabs\n") 308s + data(crabs) 308s + show(rlda <- Linda(sp~., data=crabs, method=method)) 308s + show(predict(rlda)) 308s + 308s + cat("\nData: ", "fish\n") 308s + data(fish) 308s + fish <- fish[-14,] # remove observation #14 containing missing value 308s + 308s + # The height and width are calculated as percentages 308s + # of the third length variable 308s + fish[,5] <- fish[,5]*fish[,4]/100 308s + fish[,6] <- fish[,6]*fish[,4]/100 308s + 308s + ## There is one class with only 6 observations (p=6). Normally 308s + ## Linda will fail, therefore use l1med=TRUE. 308s + ## This works only for methods mcdB and mcdC 308s + 308s + table(fish$Species) 308s + if(method != "mcdA") 308s + { 308s + ## IGNORE_RDIFF_BEGIN 308s + rlda <- Linda(Species~., data=fish, method=method, l1med=TRUE) 308s + ## show(rlda) 308s + ## IGNORE_RDIFF_END 308s + show(predict(rlda)) 308s + } 308s + 308s + cat("\nData: ", "pottery\n") 308s + data(pottery) 308s + show(rlda <- Linda(origin~., data=pottery, method=method)) 308s + show(predict(rlda)) 308s + 308s + cat("\nData: ", "olitos\n") 308s + data(olitos) 308s + if(method != "mcdA") 308s + { 308s + ## IGNORE_RDIFF_BEGIN 308s + rlda <- Linda(grp~., data=olitos, method=method, l1med=TRUE) 308s + ## show(rlda) 308s + ## IGNORE_RDIFF_END 308s + show(predict(rlda)) 308s + } 308s + 308s + cat("===================================================\n") 308s + } 308s > 308s > 308s > ## -- now do it: 308s > dodata(method="mcdA") 308s 308s Call: dodata(method = "mcdA") 308s =================================================== 308s 308s Data: hemophilia 308s Call: 308s Linda(as.factor(gr) ~ ., data = hemophilia, method = method) 308s 308s Prior Probabilities of Groups: 308s carrier normal 308s 0.6 0.4 308s 308s Group means: 308s AHFactivity AHFantigen 308s carrier -0.30795 -0.0059911 308s normal -0.12920 -0.0603000 308s 308s Within-groups Covariance Matrix: 308s AHFactivity AHFantigen 308s AHFactivity 0.018036 0.011853 308s AHFantigen 0.011853 0.019185 308s 308s Linear Coeficients: 308s AHFactivity AHFantigen 308s carrier -28.4029 17.2368 308s normal -8.5834 2.1602 308s 308s Constants: 308s carrier normal 308s -4.8325 -1.4056 308s 308s Apparent error rate 0.1333 308s 308s Classification table 308s Predicted 308s Actual carrier normal 308s carrier 39 6 308s normal 4 26 308s 308s Confusion matrix 308s Predicted 308s Actual carrier normal 308s carrier 0.867 0.133 308s normal 0.133 0.867 308s 308s Data: anorexia 308s Call: 308s Linda(Treat ~ ., data = anorexia, method = method) 308s 308s Prior Probabilities of Groups: 308s CBT Cont FT 308s 0.40278 0.36111 0.23611 308s 308s Group means: 308s Prewt Postwt 308s CBT 82.633 82.950 308s Cont 81.558 81.108 308s FT 84.331 94.762 308s 308s Within-groups Covariance Matrix: 308s Prewt Postwt 308s Prewt 26.9291 3.3862 308s Postwt 3.3862 18.2368 308s 308s Linear Coeficients: 308s Prewt Postwt 308s CBT 2.5563 4.0738 308s Cont 2.5284 3.9780 308s FT 2.5374 4.7250 308s 308s Constants: 308s CBT Cont FT 308s -275.49 -265.45 -332.31 308s 308s Apparent error rate 0.3889 308s 308s Classification table 308s Predicted 308s Actual CBT Cont FT 308s CBT 16 5 8 308s Cont 11 15 0 308s FT 0 4 13 308s 308s Confusion matrix 308s Predicted 308s Actual CBT Cont FT 308s CBT 0.552 0.172 0.276 308s Cont 0.423 0.577 0.000 308s FT 0.000 0.235 0.765 308s 308s Data: Pima 308s Call: 308s Linda(type ~ ., data = Pima.tr, method = method) 308s 308s Prior Probabilities of Groups: 308s No Yes 308s 0.66 0.34 308s 308s Group means: 308s npreg glu bp skin bmi ped age 308s No 1.8602 107.69 67.344 25.29 30.642 0.40777 24.667 308s Yes 5.3167 145.85 74.283 31.80 34.095 0.49533 37.883 308s 308s Within-groups Covariance Matrix: 308s npreg glu bp skin bmi ped age 308s npreg 8.51105 -5.61029 4.756672 1.52732 0.82066 -0.010070 12.382693 308s glu -5.61029 656.11894 49.855724 16.67486 23.07833 -0.352475 17.724967 308s bp 4.75667 49.85572 119.426757 29.64563 12.90698 -0.049538 21.287178 308s skin 1.52732 16.67486 29.645632 113.19900 44.15972 -0.157594 6.741105 308s bmi 0.82066 23.07833 12.906985 44.15972 35.54164 0.038640 1.481520 308s ped -0.01007 -0.35247 -0.049538 -0.15759 0.03864 0.062664 -0.069636 308s age 12.38269 17.72497 21.287178 6.74110 1.48152 -0.069636 64.887154 308s 308s Linear Coeficients: 308s npreg glu bp skin bmi ped age 308s No -0.45855 0.092789 0.45848 -0.30675 1.0075 6.2670 0.30749 308s Yes -0.22400 0.150013 0.44787 -0.26148 1.0015 8.2935 0.45187 308s 308s Constants: 308s No Yes 308s -37.050 -51.586 308s 308s Apparent error rate 0.22 308s 308s Classification table 308s Predicted 308s Actual No Yes 308s No 107 25 308s Yes 19 49 308s 308s Confusion matrix 308s Predicted 308s Actual No Yes 308s No 0.811 0.189 308s Yes 0.279 0.721 308s 308s Data: Forest soils 308s 308s Apparent error rate 0.3103 308s 308s Classification table 308s Predicted 308s Actual 1 2 3 308s 1 7 2 2 308s 2 3 13 7 308s 3 1 3 20 308s 308s Confusion matrix 308s Predicted 308s Actual 1 2 3 308s 1 0.636 0.182 0.182 308s 2 0.130 0.565 0.304 308s 3 0.042 0.125 0.833 308s 308s Data: Raven and Miller diabetes data 308s Call: 308s Linda(group ~ insulin + glucose + sspg, data = diabetes, method = method) 308s 308s Prior Probabilities of Groups: 308s normal chemical overt 308s 0.52414 0.24828 0.22759 308s 308s Group means: 308s insulin glucose sspg 308s normal 163.939 345.8 99.076 308s chemical 299.448 476.9 223.621 308s overt 95.958 1026.4 343.000 308s 308s Within-groups Covariance Matrix: 308s insulin glucose sspg 308s insulin 7582.0 -1263.1 1095.8 308s glucose -1263.1 18952.4 4919.3 308s sspg 1095.8 4919.3 3351.2 308s 308s Linear Coeficients: 308s insulin glucose sspg 308s normal 0.027694 0.023859 -0.014514 308s chemical 0.040288 0.022532 0.020479 308s overt 0.017144 0.048768 0.025158 308s 308s Constants: 308s normal chemical overt 308s -6.3223 -15.0879 -31.6445 308s 308s Apparent error rate 0.1862 308s 308s Classification table 308s Predicted 308s Actual normal chemical overt 308s normal 69 7 0 308s chemical 13 23 0 308s overt 2 5 26 308s 308s Confusion matrix 308s Predicted 308s Actual normal chemical overt 308s normal 0.908 0.092 0.000 308s chemical 0.361 0.639 0.000 308s overt 0.061 0.152 0.788 308s 308s Data: iris 308s 308s Data: crabs 308s Call: 308s Linda(sp ~ ., data = crabs, method = method) 308s 308s Prior Probabilities of Groups: 308s B O 308s 0.5 0.5 308s 308s Group means: 308s sexM index FL RW CL CW BD 308s B 0.34722 27.333 14.211 12.253 30.397 35.117 12.765 308s O 0.56627 25.554 17.131 13.405 34.247 38.155 15.525 308s 308s Within-groups Covariance Matrix: 308s sexM index FL RW CL CW BD 308s sexM 0.26391 0.76754 0.18606 -0.33763 0.65944 0.59857 0.28932 308s index 0.76754 191.38080 38.42685 26.32923 82.43953 91.89091 38.13688 308s FL 0.18606 38.42685 8.50147 5.68789 18.13749 20.30739 8.30920 308s RW -0.33763 26.32923 5.68789 4.95782 11.90225 13.61117 5.45814 308s CL 0.65944 82.43953 18.13749 11.90225 39.60115 44.10886 18.09504 308s CW 0.59857 91.89091 20.30739 13.61117 44.10886 49.42616 20.17554 308s BD 0.28932 38.13688 8.30920 5.45814 18.09504 20.17554 8.39525 308s 308s Linear Coeficients: 308s sexM index FL RW CL CW BD 308s B 29.104 -2.4938 10.809 15.613 0.8320 -4.2978 -0.46788 308s O 42.470 -3.9361 26.427 22.857 2.8582 -17.1526 12.31048 308s 308s Constants: 308s B O 308s -78.317 -159.259 308s 308s Apparent error rate 0 308s 308s Classification table 308s Predicted 308s Actual B O 308s B 100 0 308s O 0 100 308s 308s Confusion matrix 308s Predicted 308s Actual B O 308s B 1 0 308s O 0 1 308s 308s Data: fish 308s 308s Data: pottery 308s Call: 308s Linda(origin ~ ., data = pottery, method = method) 308s 308s Prior Probabilities of Groups: 308s Attic Eritrean 308s 0.48148 0.51852 308s 308s Group means: 308s SI AL FE MG CA TI 308s Attic 55.36 13.73 9.82 5.45 6.03 0.863 308s Eritrean 52.52 16.23 9.13 3.09 6.26 0.814 308s 308s Within-groups Covariance Matrix: 308s SI AL FE MG CA TI 308s SI 13.5941404 2.986675 -0.651132 0.173577 -0.350984 -0.0051996 308s AL 2.9866747 1.622412 0.485167 0.712400 0.077443 0.0133306 308s FE -0.6511317 0.485167 1.065427 -0.403601 -1.936552 0.0576472 308s MG 0.1735766 0.712400 -0.403601 2.814948 3.262786 -0.0427129 308s CA -0.3509837 0.077443 -1.936552 3.262786 7.720320 -0.1454065 308s TI -0.0051996 0.013331 0.057647 -0.042713 -0.145406 0.0044093 308s 308s Linear Coeficients: 308s SI AL FE MG CA TI 308s Attic 63.235 -196.99 312.92 7.28960 57.082 -1272.23 308s Eritrean 41.554 -123.49 201.47 -0.95431 43.616 -597.91 308s 308s Constants: 308s Attic Eritrean 308s -1578.14 -901.13 308s 308s Apparent error rate 0.1111 308s 308s Classification table 308s Predicted 308s Actual Attic Eritrean 308s Attic 12 1 308s Eritrean 2 12 308s 308s Confusion matrix 308s Predicted 308s Actual Attic Eritrean 308s Attic 0.923 0.077 308s Eritrean 0.143 0.857 308s 308s Data: olitos 308s =================================================== 308s > dodata(method="mcdB") 308s 308s Call: dodata(method = "mcdB") 308s =================================================== 308s 308s Data: hemophilia 308s Call: 308s Linda(as.factor(gr) ~ ., data = hemophilia, method = method) 308s 308s Prior Probabilities of Groups: 308s carrier normal 308s 0.6 0.4 308s 308s Group means: 308s AHFactivity AHFantigen 308s carrier -0.31456 -0.014775 308s normal -0.13582 -0.069084 308s 308s Within-groups Covariance Matrix: 308s AHFactivity AHFantigen 308s AHFactivity 0.0125319 0.0086509 308s AHFantigen 0.0086509 0.0182424 308s 308s Linear Coeficients: 308s AHFactivity AHFantigen 308s carrier -36.486 16.4923 308s normal -12.226 2.0107 308s 308s Constants: 308s carrier normal 308s -6.1276 -1.6771 308s 308s Apparent error rate 0.16 308s 308s Classification table 308s Predicted 308s Actual carrier normal 308s carrier 38 7 308s normal 5 25 308s 308s Confusion matrix 308s Predicted 308s Actual carrier normal 308s carrier 0.844 0.156 308s normal 0.167 0.833 308s 308s Data: anorexia 308s Call: 308s Linda(Treat ~ ., data = anorexia, method = method) 308s 308s Prior Probabilities of Groups: 308s CBT Cont FT 308s 0.40278 0.36111 0.23611 308s 308s Group means: 308s Prewt Postwt 308s CBT 83.254 82.381 308s Cont 82.178 80.539 308s FT 84.951 94.193 308s 308s Within-groups Covariance Matrix: 308s Prewt Postwt 308s Prewt 19.1751 8.8546 308s Postwt 8.8546 25.2326 308s 308s Linear Coeficients: 308s Prewt Postwt 308s CBT 3.3822 2.0780 308s Cont 3.3555 2.0144 308s FT 3.2299 2.5996 308s 308s Constants: 308s CBT Cont FT 308s -227.29 -220.01 -261.06 308s 308s Apparent error rate 0.4444 308s 308s Classification table 308s Predicted 308s Actual CBT Cont FT 308s CBT 16 5 8 308s Cont 12 11 3 308s FT 0 4 13 308s 308s Confusion matrix 308s Predicted 308s Actual CBT Cont FT 308s CBT 0.552 0.172 0.276 308s Cont 0.462 0.423 0.115 308s FT 0.000 0.235 0.765 308s 308s Data: Pima 308s Call: 308s Linda(type ~ ., data = Pima.tr, method = method) 308s 308s Prior Probabilities of Groups: 308s No Yes 308s 0.66 0.34 308s 308s Group means: 308s npreg glu bp skin bmi ped age 308s No 2.0767 109.45 67.790 26.158 30.930 0.41455 24.695 308s Yes 5.5938 145.40 74.748 33.754 34.501 0.49898 37.821 308s 308s Within-groups Covariance Matrix: 308s npreg glu bp skin bmi ped age 308s npreg 6.601330 9.54054 7.33480 3.5803 1.66539 -0.019992 10.661763 308s glu 9.540535 573.03642 60.57124 28.3698 30.28444 -0.436611 28.318034 308s bp 7.334803 60.57124 112.03792 27.7566 13.54085 -0.040510 24.692240 308s skin 3.580339 28.36976 27.75661 112.0036 47.22411 0.100399 13.408195 308s bmi 1.665393 30.28444 13.54085 47.2241 38.37753 0.175891 6.640765 308s ped -0.019992 -0.43661 -0.04051 0.1004 0.17589 0.062551 -0.070673 308s age 10.661763 28.31803 24.69224 13.4082 6.64077 -0.070673 40.492363 308s 308s Linear Coeficients: 308s npreg glu bp skin bmi ped age 308s No -1.3073 0.10851 0.48404 -0.30638 0.86002 5.9796 0.55388 308s Yes -1.3136 0.16260 0.44480 -0.25518 0.79826 8.1199 0.86269 308s 308s Constants: 308s No Yes 308s -38.774 -53.654 308s 308s Apparent error rate 0.25 308s 308s Classification table 308s Predicted 308s Actual No Yes 308s No 104 28 308s Yes 22 46 308s 308s Confusion matrix 308s Predicted 308s Actual No Yes 308s No 0.788 0.212 308s Yes 0.324 0.676 308s 308s Data: Forest soils 308s 308s Apparent error rate 0.3448 308s 308s Classification table 308s Predicted 308s Actual 1 2 3 308s 1 4 3 4 308s 2 2 14 7 308s 3 2 2 20 308s 308s Confusion matrix 308s Predicted 308s Actual 1 2 3 308s 1 0.364 0.273 0.364 308s 2 0.087 0.609 0.304 308s 3 0.083 0.083 0.833 308s 308s Data: Raven and Miller diabetes data 309s Call: 309s Linda(group ~ insulin + glucose + sspg, data = diabetes, method = method) 309s 309s Prior Probabilities of Groups: 309s normal chemical overt 309s 0.52414 0.24828 0.22759 309s 309s Group means: 309s insulin glucose sspg 309s normal 152.405 346.55 99.387 309s chemical 288.244 478.80 226.226 309s overt 84.754 1028.28 345.605 309s 309s Within-groups Covariance Matrix: 309s insulin glucose sspg 309s insulin 5061.46 289.69 2071.71 309s glucose 289.69 1983.07 385.31 309s sspg 2071.71 385.31 3000.17 309s 309s Linear Coeficients: 309s insulin glucose sspg 309s normal 0.021952 0.17236 -0.0041671 309s chemical 0.034852 0.23217 0.0215200 309s overt -0.045700 0.50940 0.0813292 309s 309s Constants: 309s normal chemical overt 309s -31.976 -64.433 -275.502 309s 309s Apparent error rate 0.0966 309s 309s Classification table 309s Predicted 309s Actual normal chemical overt 309s normal 73 3 0 309s chemical 4 32 0 309s overt 0 7 26 309s 309s Confusion matrix 309s Predicted 309s Actual normal chemical overt 309s normal 0.961 0.039 0.000 309s chemical 0.111 0.889 0.000 309s overt 0.000 0.212 0.788 309s 309s Data: iris 309s Call: 309s Linda(Species ~ ., data = iris, method = method, l1med = TRUE) 309s 309s Prior Probabilities of Groups: 309s setosa versicolor virginica 309s 0.33333 0.33333 0.33333 309s 309s Group means: 309s Sepal.Length Sepal.Width Petal.Length Petal.Width 309s setosa 4.9834 3.4153 1.4532 0.22474 309s versicolor 5.8947 2.8149 4.2263 1.35024 309s virginica 6.5255 3.0017 5.4485 2.06756 309s 309s Within-groups Covariance Matrix: 309s Sepal.Length Sepal.Width Petal.Length Petal.Width 309s Sepal.Length 0.201176 0.084299 0.102984 0.037019 309s Sepal.Width 0.084299 0.108394 0.050253 0.031757 309s Petal.Length 0.102984 0.050253 0.120215 0.045016 309s Petal.Width 0.037019 0.031757 0.045016 0.032825 309s 309s Linear Coeficients: 309s Sepal.Length Sepal.Width Petal.Length Petal.Width 309s setosa 22.536 27.422168 -3.6855 -40.0445 309s versicolor 17.559 6.374082 24.1965 -18.0178 309s virginica 16.488 0.015576 29.9586 3.2926 309s 309s Constants: 309s setosa versicolor virginica 309s -96.901 -100.790 -139.937 309s 309s Apparent error rate 0.0267 309s 309s Classification table 309s Predicted 309s Actual setosa versicolor virginica 309s setosa 50 0 0 309s versicolor 0 48 2 309s virginica 0 2 48 309s 309s Confusion matrix 309s Predicted 309s Actual setosa versicolor virginica 309s setosa 1 0.00 0.00 309s versicolor 0 0.96 0.04 309s virginica 0 0.04 0.96 309s 309s Data: crabs 309s Call: 309s Linda(sp ~ ., data = crabs, method = method) 309s 309s Prior Probabilities of Groups: 309s B O 309s 0.5 0.5 309s 309s Group means: 309s sexM index FL RW CL CW BD 309s B 0.41060 25.420 13.947 11.922 29.783 34.404 12.470 309s O 0.60279 23.202 16.782 13.086 33.401 37.230 15.131 309s 309s Within-groups Covariance Matrix: 309s sexM index FL RW CL CW BD 309s sexM 0.27470 0.24656 0.12787 -0.34713 0.48937 0.41525 0.20253 309s index 0.24656 204.06823 42.17347 28.25816 89.28109 100.21077 40.74069 309s FL 0.12787 42.17347 9.45366 6.24808 19.97936 22.49310 9.03804 309s RW -0.34713 28.25816 6.24808 5.12921 13.01576 14.90535 5.89729 309s CL 0.48937 89.28109 19.97936 13.01576 43.06030 48.30814 19.44568 309s CW 0.41525 100.21077 22.49310 14.90535 48.30814 54.45265 21.82356 309s BD 0.20253 40.74069 9.03804 5.89729 19.44568 21.82356 8.89498 309s 309s Linear Coeficients: 309s sexM index FL RW CL CW BD 309s B 12.295 -2.3199 7.2512 9.4085 2.2846 -2.6196 -0.42557 309s O 13.138 -3.7530 21.1374 11.5680 5.0125 -13.9120 12.61928 309s 309s Constants: 309s B O 309s -66.688 -134.375 309s 309s Apparent error rate 0 309s 309s Classification table 309s Predicted 309s Actual B O 309s B 100 0 309s O 0 100 309s 309s Confusion matrix 309s Predicted 309s Actual B O 309s B 1 0 309s O 0 1 309s 309s Data: fish 309s 309s Apparent error rate 0.0949 309s 309s Classification table 309s Predicted 309s Actual 1 2 3 4 5 6 7 309s 1 34 0 0 0 0 0 0 309s 2 0 6 0 0 0 0 0 309s 3 0 0 20 0 0 0 0 309s 4 0 0 0 11 0 0 0 309s 5 0 0 0 0 13 0 1 309s 6 0 0 0 0 0 17 0 309s 7 0 13 0 0 1 0 42 309s 309s Confusion matrix 309s Predicted 309s Actual 1 2 3 4 5 6 7 309s 1 1 0.000 0 0 0.000 0 0.000 309s 2 0 1.000 0 0 0.000 0 0.000 309s 3 0 0.000 1 0 0.000 0 0.000 309s 4 0 0.000 0 1 0.000 0 0.000 309s 5 0 0.000 0 0 0.929 0 0.071 309s 6 0 0.000 0 0 0.000 1 0.000 309s 7 0 0.232 0 0 0.018 0 0.750 309s 309s Data: pottery 309s Call: 309s Linda(origin ~ ., data = pottery, method = method) 309s 309s Prior Probabilities of Groups: 309s Attic Eritrean 309s 0.48148 0.51852 309s 309s Group means: 309s SI AL FE MG CA TI 309s Attic 55.362 13.847 10.0065 5.3141 5.5371 0.87124 309s Eritrean 52.522 16.347 9.3165 2.9541 5.7671 0.82224 309s 309s Within-groups Covariance Matrix: 309s SI AL FE MG CA TI 309s SI 9.708953 2.3634831 -0.112005 0.514666 -0.591122 0.0253885 309s AL 2.363483 0.8510105 0.044491 0.485132 0.241384 0.0023349 309s FE -0.112005 0.0444910 0.247768 -0.263894 -0.503218 0.0163218 309s MG 0.514666 0.4851316 -0.263894 1.608899 1.516228 -0.0292787 309s CA -0.591122 0.2413842 -0.503218 1.516228 2.455516 -0.0531548 309s TI 0.025389 0.0023349 0.016322 -0.029279 -0.053155 0.0017412 309s 309s Linear Coeficients: 309s SI AL FE MG CA TI 309s Attic 112.705 -368.69 530.54 7.5837 149.60 -927.45 309s Eritrean 77.198 -244.65 366.95 -3.7987 116.88 -260.83 309s 309s Constants: 309s Attic Eritrean 309s -3252.6 -1961.9 309s 309s Apparent error rate 0.1111 309s 309s Classification table 309s Predicted 309s Actual Attic Eritrean 309s Attic 12 1 309s Eritrean 2 12 309s 309s Confusion matrix 309s Predicted 309s Actual Attic Eritrean 309s Attic 0.923 0.077 309s Eritrean 0.143 0.857 309s 309s Data: olitos 309s 309s Apparent error rate 0.15 309s 309s Classification table 309s Predicted 309s Actual 1 2 3 4 309s 1 44 1 4 1 309s 2 2 23 0 0 309s 3 6 1 26 1 309s 4 1 1 0 9 309s 309s Confusion matrix 309s Predicted 309s Actual 1 2 3 4 309s 1 0.880 0.020 0.080 0.020 309s 2 0.080 0.920 0.000 0.000 309s 3 0.176 0.029 0.765 0.029 309s 4 0.091 0.091 0.000 0.818 309s =================================================== 309s > dodata(method="mcdC") 309s 309s Call: dodata(method = "mcdC") 309s =================================================== 309s 309s Data: hemophilia 309s Call: 309s Linda(as.factor(gr) ~ ., data = hemophilia, method = method) 309s 309s Prior Probabilities of Groups: 309s carrier normal 309s 0.6 0.4 309s 309s Group means: 309s AHFactivity AHFantigen 309s carrier -0.32583 -0.011545 309s normal -0.12783 -0.071377 309s 309s Within-groups Covariance Matrix: 309s AHFactivity AHFantigen 309s AHFactivity 0.0120964 0.0075536 309s AHFantigen 0.0075536 0.0164883 309s 309s Linear Coeficients: 309s AHFactivity AHFantigen 309s carrier -37.117 16.30377 309s normal -11.015 0.71742 309s 309s Constants: 309s carrier normal 309s -6.4636 -1.5947 309s 309s Apparent error rate 0.16 309s 309s Classification table 309s Predicted 309s Actual carrier normal 309s carrier 38 7 309s normal 5 25 309s 309s Confusion matrix 309s Predicted 309s Actual carrier normal 309s carrier 0.844 0.156 309s normal 0.167 0.833 309s 309s Data: anorexia 309s Call: 309s Linda(Treat ~ ., data = anorexia, method = method) 309s 309s Prior Probabilities of Groups: 309s CBT Cont FT 309s 0.40278 0.36111 0.23611 309s 309s Group means: 309s Prewt Postwt 309s CBT 82.477 82.073 309s Cont 82.039 80.835 309s FT 85.242 94.750 309s 309s Within-groups Covariance Matrix: 309s Prewt Postwt 309s Prewt 19.6589 8.3891 309s Postwt 8.3891 22.8805 309s 309s Linear Coeficients: 309s Prewt Postwt 309s CBT 3.1590 2.4288 309s Cont 3.1599 2.3743 309s FT 3.0454 3.0245 309s 309s Constants: 309s CBT Cont FT 309s -230.85 -226.60 -274.53 309s 309s Apparent error rate 0.4583 309s 309s Classification table 309s Predicted 309s Actual CBT Cont FT 309s CBT 16 5 8 309s Cont 14 10 2 309s FT 0 4 13 309s 309s Confusion matrix 309s Predicted 309s Actual CBT Cont FT 309s CBT 0.552 0.172 0.276 309s Cont 0.538 0.385 0.077 309s FT 0.000 0.235 0.765 309s 309s Data: Pima 309s Call: 309s Linda(type ~ ., data = Pima.tr, method = method) 309s 309s Prior Probabilities of Groups: 309s No Yes 309s 0.66 0.34 309s 309s Group means: 309s npreg glu bp skin bmi ped age 309s No 2.3056 110.63 67.991 26.444 31.010 0.41653 25.806 309s Yes 5.0444 142.58 74.267 33.067 34.309 0.49422 35.156 309s 309s Within-groups Covariance Matrix: 309s npreg glu bp skin bmi ped age 309s npreg 6.164422 8.43753 6.879286 3.252980 1.54269 -0.020158 9.543745 309s glu 8.437528 542.79578 57.156929 26.218837 28.63494 -0.421819 23.809124 309s bp 6.879286 57.15693 106.687356 26.315526 12.86691 -0.039577 22.992973 309s skin 3.252980 26.21884 26.315526 106.552759 44.95420 0.094311 12.005740 309s bmi 1.542689 28.63494 12.866911 44.954202 36.56262 0.167258 6.112925 309s ped -0.020158 -0.42182 -0.039577 0.094311 0.16726 0.059609 -0.072712 309s age 9.543745 23.80912 22.992973 12.005740 6.11292 -0.072712 35.594886 309s 309s Linear Coeficients: 309s npreg glu bp skin bmi ped age 309s No -1.4165 0.11776 0.49336 -0.31564 0.88761 6.5013 0.67462 309s Yes -1.3784 0.17062 0.46662 -0.26771 0.83745 8.5204 0.90557 309s 309s Constants: 309s No Yes 309s -41.716 -55.056 309s 309s Apparent error rate 0.235 309s 309s Classification table 309s Predicted 309s Actual No Yes 309s No 107 25 309s Yes 22 46 309s 309s Confusion matrix 309s Predicted 309s Actual No Yes 309s No 0.811 0.189 309s Yes 0.324 0.676 309s 309s Data: Forest soils 309s 309s Apparent error rate 0.3276 309s 309s Classification table 309s Predicted 309s Actual 1 2 3 309s 1 5 2 4 309s 2 2 13 8 309s 3 1 2 21 309s 309s Confusion matrix 309s Predicted 309s Actual 1 2 3 309s 1 0.455 0.182 0.364 309s 2 0.087 0.565 0.348 309s 3 0.042 0.083 0.875 309s 309s Data: Raven and Miller diabetes data 309s Call: 309s Linda(group ~ insulin + glucose + sspg, data = diabetes, method = method) 309s 309s Prior Probabilities of Groups: 309s normal chemical overt 309s 0.52414 0.24828 0.22759 309s 309s Group means: 309s insulin glucose sspg 309s normal 167.31 348.69 106.44 309s chemical 247.18 478.18 213.36 309s overt 101.83 932.92 322.42 309s 309s Within-groups Covariance Matrix: 309s insulin glucose sspg 309s insulin 4070.84 118.89 1701.54 309s glucose 118.89 2195.95 426.95 309s sspg 1701.54 426.95 2664.49 309s 309s Linear Coeficients: 309s insulin glucose sspg 309s normal 0.041471 0.15888 -0.011992 309s chemical 0.048103 0.21216 0.015359 309s overt -0.013579 0.41323 0.063462 309s 309s Constants: 309s normal chemical overt 309s -31.177 -59.703 -203.775 309s 309s Apparent error rate 0.0828 309s 309s Classification table 309s Predicted 309s Actual normal chemical overt 309s normal 72 4 0 309s chemical 2 34 0 309s overt 0 6 27 309s 309s Confusion matrix 309s Predicted 309s Actual normal chemical overt 309s normal 0.947 0.053 0.000 309s chemical 0.056 0.944 0.000 309s overt 0.000 0.182 0.818 309s 309s Data: iris 309s Call: 309s Linda(Species ~ ., data = iris, method = method, l1med = TRUE) 309s 309s Prior Probabilities of Groups: 309s setosa versicolor virginica 309s 0.33333 0.33333 0.33333 309s 309s Group means: 309s Sepal.Length Sepal.Width Petal.Length Petal.Width 309s setosa 5.0163 3.4510 1.4653 0.2449 309s versicolor 5.9435 2.7891 4.2543 1.3239 309s virginica 6.3867 3.0033 5.3767 2.0700 309s 309s Within-groups Covariance Matrix: 309s Sepal.Length Sepal.Width Petal.Length Petal.Width 309s Sepal.Length 0.186186 0.082478 0.094998 0.035445 309s Sepal.Width 0.082478 0.100137 0.049723 0.030678 309s Petal.Length 0.094998 0.049723 0.113105 0.043078 309s Petal.Width 0.035445 0.030678 0.043078 0.030885 309s 309s Linear Coeficients: 309s Sepal.Length Sepal.Width Petal.Length Petal.Width 309s setosa 23.678 30.2896 -3.1124 -44.9900 309s versicolor 20.342 4.6372 27.3265 -23.2006 309s virginica 18.377 -2.0004 31.4235 4.0906 309s 309s Constants: 309s setosa versicolor virginica 309s -104.96 -110.79 -145.49 309s 309s Apparent error rate 0.0333 309s 309s Classification table 309s Predicted 309s Actual setosa versicolor virginica 309s setosa 50 0 0 309s versicolor 0 48 2 309s virginica 0 3 47 309s 309s Confusion matrix 309s Predicted 309s Actual setosa versicolor virginica 309s setosa 1 0.00 0.00 309s versicolor 0 0.96 0.04 309s virginica 0 0.06 0.94 309s 309s Data: crabs 309s Call: 309s Linda(sp ~ ., data = crabs, method = method) 309s 309s Prior Probabilities of Groups: 309s B O 309s 0.5 0.5 309s 309s Group means: 309s sexM index FL RW CL CW BD 309s B 0.50000 23.956 13.790 11.649 29.390 33.934 12.274 309s O 0.51087 24.478 16.903 13.330 33.707 37.595 15.276 309s 309s Within-groups Covariance Matrix: 309s sexM index FL RW CL CW BD 309s sexM 0.25272 0.39179 0.14054 -0.30017 0.51191 0.45114 0.21708 309s index 0.39179 192.47099 39.97343 26.56698 84.63152 94.99987 38.67917 309s FL 0.14054 39.97343 8.97950 5.91408 18.98672 21.38046 8.60313 309s RW -0.30017 26.56698 5.91408 4.81389 12.31798 14.10613 5.58933 309s CL 0.51191 84.63152 18.98672 12.31798 40.94109 45.94330 18.52367 309s CW 0.45114 94.99987 21.38046 14.10613 45.94330 51.80106 20.79704 309s BD 0.21708 38.67917 8.60313 5.58933 18.52367 20.79704 8.49355 309s 309s Linear Coeficients: 309s sexM index FL RW CL CW BD 309s B 13.993 -2.5515 9.152 9.9187 2.2321 -2.9774 -0.66797 309s O 14.362 -4.0280 23.369 12.1556 5.3672 -14.9236 12.94057 309s 309s Constants: 309s B O 309s -72.687 -142.365 309s 309s Apparent error rate 0 309s 309s Classification table 309s Predicted 309s Actual B O 309s B 100 0 309s O 0 100 309s 309s Confusion matrix 309s Predicted 309s Actual B O 309s B 1 0 309s O 0 1 309s 309s Data: fish 309s 309s Apparent error rate 0.0316 309s 309s Classification table 309s Predicted 309s Actual 1 2 3 4 5 6 7 309s 1 34 0 0 0 0 0 0 309s 2 0 5 0 0 1 0 0 309s 3 0 0 20 0 0 0 0 309s 4 0 0 0 11 0 0 0 309s 5 0 0 0 0 13 0 1 309s 6 0 0 0 0 0 17 0 309s 7 0 0 0 0 3 0 53 309s 309s Confusion matrix 309s Predicted 309s Actual 1 2 3 4 5 6 7 309s 1 1 0.000 0 0 0.000 0 0.000 309s 2 0 0.833 0 0 0.167 0 0.000 309s 3 0 0.000 1 0 0.000 0 0.000 309s 4 0 0.000 0 1 0.000 0 0.000 309s 5 0 0.000 0 0 0.929 0 0.071 309s 6 0 0.000 0 0 0.000 1 0.000 309s 7 0 0.000 0 0 0.054 0 0.946 309s 309s Data: pottery 309s Call: 309s Linda(origin ~ ., data = pottery, method = method) 309s 309s Prior Probabilities of Groups: 309s Attic Eritrean 309s 0.48148 0.51852 309s 309s Group means: 309s SI AL FE MG CA TI 309s Attic 55.450 13.738 10.0000 5.0750 5.0750 0.87375 309s Eritrean 52.444 16.444 9.3222 3.1667 6.1778 0.82000 309s 309s Within-groups Covariance Matrix: 309s SI AL FE MG CA TI 309s SI 6.565481 1.6098148 -0.075259 0.369556 -0.359407 0.0169667 309s AL 1.609815 0.5640648 0.029407 0.302056 0.112426 0.0018583 309s FE -0.075259 0.0294074 0.167704 -0.180222 -0.343704 0.0110667 309s MG 0.369556 0.3020556 -0.180222 1.031667 0.915222 -0.0192167 309s CA -0.359407 0.1124259 -0.343704 0.915222 1.447370 -0.0348167 309s TI 0.016967 0.0018583 0.011067 -0.019217 -0.034817 0.0011725 309s 309s Linear Coeficients: 309s SI AL FE MG CA TI 309s Attic 190.17 -622.48 922.21 1.5045 293.30 -990.323 309s Eritrean 135.34 -431.40 666.59 -14.3288 237.68 -44.025 309s 309s Constants: 309s Attic Eritrean 309s -5924.2 -3802.9 309s 309s Apparent error rate 0.1111 309s 309s Classification table 309s Predicted 309s Actual Attic Eritrean 309s Attic 12 1 309s Eritrean 2 12 309s 309s Confusion matrix 309s Predicted 309s Actual Attic Eritrean 309s Attic 0.923 0.077 309s Eritrean 0.143 0.857 309s 309s Data: olitos 310s 310s Apparent error rate 0.1667 310s 310s Classification table 310s Predicted 310s Actual 1 2 3 4 310s 1 44 1 2 3 310s 2 2 22 0 1 310s 3 5 2 25 2 310s 4 1 1 0 9 310s 310s Confusion matrix 310s Predicted 310s Actual 1 2 3 4 310s 1 0.880 0.020 0.040 0.060 310s 2 0.080 0.880 0.000 0.040 310s 3 0.147 0.059 0.735 0.059 310s 4 0.091 0.091 0.000 0.818 310s =================================================== 310s > dodata(method="mrcd") 310s 310s Call: dodata(method = "mrcd") 310s =================================================== 310s 310s Data: hemophilia 310s Call: 310s Linda(as.factor(gr) ~ ., data = hemophilia, method = method) 310s 310s Prior Probabilities of Groups: 310s carrier normal 310s 0.6 0.4 310s 310s Group means: 310s AHFactivity AHFantigen 310s carrier -0.34048 -0.055943 310s normal -0.13566 -0.081191 310s 310s Within-groups Covariance Matrix: 310s AHFactivity AHFantigen 310s AHFactivity 0.0133676 0.0088055 310s AHFantigen 0.0088055 0.0221225 310s 310s Linear Coeficients: 310s AHFactivity AHFantigen 310s carrier -32.264 10.31334 310s normal -10.478 0.50044 310s 310s Constants: 310s carrier normal 310s -5.7149 -1.6067 310s 310s Apparent error rate 0.16 310s 310s Classification table 310s Predicted 310s Actual carrier normal 310s carrier 38 7 310s normal 5 25 310s 310s Confusion matrix 310s Predicted 310s Actual carrier normal 310s carrier 0.844 0.156 310s normal 0.167 0.833 310s 310s Data: anorexia 310s Call: 310s Linda(Treat ~ ., data = anorexia, method = method) 310s 310s Prior Probabilities of Groups: 310s CBT Cont FT 310s 0.40278 0.36111 0.23611 310s 310s Group means: 310s Prewt Postwt 310s CBT 83.114 84.009 310s Cont 80.327 80.125 310s FT 85.161 94.371 310s 310s Within-groups Covariance Matrix: 310s Prewt Postwt 310s Prewt 22.498 11.860 310s Postwt 11.860 20.426 310s 310s Linear Coeficients: 310s Prewt Postwt 310s CBT 2.1994 2.8357 310s Cont 2.1653 2.6654 310s FT 1.9451 3.4907 310s 310s Constants: 310s CBT Cont FT 310s -211.42 -194.77 -248.97 310s 310s Apparent error rate 0.3889 310s 310s Classification table 310s Predicted 310s Actual CBT Cont FT 310s CBT 15 6 8 310s Cont 6 16 4 310s FT 0 4 13 310s 310s Confusion matrix 310s Predicted 310s Actual CBT Cont FT 310s CBT 0.517 0.207 0.276 310s Cont 0.231 0.615 0.154 310s FT 0.000 0.235 0.765 310s 310s Data: Pima 310s Call: 310s Linda(type ~ ., data = Pima.tr, method = method) 310s 310s Prior Probabilities of Groups: 310s No Yes 310s 0.66 0.34 310s 310s Group means: 310s npreg glu bp skin bmi ped age 310s No 1.9925 108.32 66.240 24.856 30.310 0.37382 24.747 310s Yes 5.8855 145.88 75.715 32.541 33.915 0.39281 38.857 310s 310s Within-groups Covariance Matrix: 310s npreg glu bp skin bmi ped age 310s npreg 4.090330 7.9547 3.818380 3.35899 2.470242 0.032557 9.5929 310s glu 7.954730 770.4187 76.377665 53.32216 54.100400 -1.139087 28.5677 310s bp 3.818380 76.3777 108.201622 42.61184 18.574983 -0.089151 20.3558 310s skin 3.358992 53.3222 42.611844 146.81170 65.210794 -0.277335 15.0162 310s bmi 2.470242 54.1004 18.574983 65.21079 52.871847 0.062145 9.0741 310s ped 0.032557 -1.1391 -0.089151 -0.27733 0.062145 0.063490 0.1762 310s age 9.592948 28.5677 20.355803 15.01616 9.074109 0.176201 53.5163 310s 310s Linear Coeficients: 310s npreg glu bp skin bmi ped age 310s No -1.30832 0.065773 0.54772 -0.32738 0.70207 5.2556 0.40900 310s Yes -0.76566 0.106435 0.55777 -0.28044 0.61709 5.9199 0.54892 310s 310s Constants: 310s No Yes 310s -33.429 -45.434 310s 310s Apparent error rate 0.28 310s 310s Classification table 310s Predicted 310s Actual No Yes 310s No 105 27 310s Yes 29 39 310s 310s Confusion matrix 310s Predicted 310s Actual No Yes 310s No 0.795 0.205 310s Yes 0.426 0.574 310s 310s Data: Forest soils 310s 310s Apparent error rate 0.3448 310s 310s Classification table 310s Predicted 310s Actual 1 2 3 310s 1 7 2 2 310s 2 4 14 5 310s 3 3 4 17 310s 310s Confusion matrix 310s Predicted 310s Actual 1 2 3 310s 1 0.636 0.182 0.182 310s 2 0.174 0.609 0.217 310s 3 0.125 0.167 0.708 310s 310s Data: Raven and Miller diabetes data 310s Call: 310s Linda(group ~ insulin + glucose + sspg, data = diabetes, method = method) 310s 310s Prior Probabilities of Groups: 310s normal chemical overt 310s 0.52414 0.24828 0.22759 310s 310s Group means: 310s insulin glucose sspg 310s normal 154.014 346.07 91.606 310s chemical 248.841 451.10 221.936 310s overt 89.766 1064.16 335.100 310s 310s Within-groups Covariance Matrix: 310s insulin glucose sspg 310s insulin 4948.1 1007.61 1471.12 310s glucose 1007.6 2597.38 358.57 310s sspg 1471.1 358.57 3180.04 310s 310s Linear Coeficients: 310s insulin glucose sspg 310s normal 0.00027839 0.13121 0.013882 310s chemical 0.00148074 0.16615 0.050371 310s overt -0.10102404 0.43466 0.103100 310s 310s Constants: 310s normal chemical overt 310s -24.008 -44.642 -245.497 310s 310s Apparent error rate 0.0966 310s 310s Classification table 310s Predicted 310s Actual normal chemical overt 310s normal 71 5 0 310s chemical 2 34 0 310s overt 0 7 26 310s 310s Confusion matrix 310s Predicted 310s Actual normal chemical overt 310s normal 0.934 0.066 0.000 310s chemical 0.056 0.944 0.000 310s overt 0.000 0.212 0.788 310s 310s Data: iris 310s Call: 310s Linda(Species ~ ., data = iris, method = method, l1med = TRUE) 310s 310s Prior Probabilities of Groups: 310s setosa versicolor virginica 310s 0.33333 0.33333 0.33333 310s 310s Group means: 310s Sepal.Length Sepal.Width Petal.Length Petal.Width 310s setosa 4.9755 3.3826 1.4608 0.22053 310s versicolor 5.8868 2.7823 4.2339 1.34603 310s virginica 6.5176 2.9691 5.4560 2.06335 310s 310s Within-groups Covariance Matrix: 310s Sepal.Length Sepal.Width Petal.Length Petal.Width 310s Sepal.Length 0.238417 0.136325 0.086377 0.036955 310s Sepal.Width 0.136325 0.148452 0.067500 0.034804 310s Petal.Length 0.086377 0.067500 0.100934 0.035968 310s Petal.Width 0.036955 0.034804 0.035968 0.023856 310s 310s Linear Coeficients: 310s Sepal.Length Sepal.Width Petal.Length Petal.Width 310s setosa 17.106 15.693 7.8806 -52.031 310s versicolor 21.744 -15.813 38.0139 -11.505 310s virginica 23.032 -26.567 43.6391 23.777 310s 310s Constants: 310s setosa versicolor virginica 310s -70.214 -115.832 -180.294 310s 310s Apparent error rate 0.02 310s 310s Classification table 310s Predicted 310s Actual setosa versicolor virginica 310s setosa 50 0 0 310s versicolor 0 49 1 310s virginica 0 2 48 310s 310s Confusion matrix 310s Predicted 310s Actual setosa versicolor virginica 310s setosa 1 0.00 0.00 310s versicolor 0 0.98 0.02 310s virginica 0 0.04 0.96 310s 310s Data: crabs 311s Call: 311s Linda(sp ~ ., data = crabs, method = method) 311s 311s Prior Probabilities of Groups: 311s B O 311s 0.5 0.5 311s 311s Group means: 311s sexM index FL RW CL CW BD 311s B 0 25.5 13.270 12.138 28.102 32.624 11.816 311s O 1 25.5 16.626 12.262 33.688 37.188 15.324 311s 311s Within-groups Covariance Matrix: 311s sexM index FL RW CL CW BD 311s sexM 1.5255e-07 0.000 0.0000 0.0000 0.000 0.000 0.000 311s index 0.0000e+00 337.501 62.8107 46.5073 137.713 154.451 63.514 311s FL 0.0000e+00 62.811 15.3164 9.8612 29.911 33.479 13.805 311s RW 0.0000e+00 46.507 9.8612 8.6949 21.878 24.604 10.092 311s CL 0.0000e+00 137.713 29.9112 21.8779 73.888 73.891 30.486 311s CW 0.0000e+00 154.451 33.4788 24.6038 73.891 92.801 34.122 311s BD 0.0000e+00 63.514 13.8053 10.0923 30.486 34.122 15.854 311s 311s Linear Coeficients: 311s sexM index FL RW CL CW BD 311s B 0 -0.64890 0.95529 2.7299 0.20747 0.28549 -0.23815 311s O 6555120 -0.83294 1.67920 1.8896 0.32330 0.23479 0.51136 311s 311s Constants: 311s B O 311s -2.1491e+01 -3.2776e+06 311s 311s Apparent error rate 0.5 311s 311s Classification table 311s Predicted 311s Actual B O 311s B 50 50 311s O 50 50 311s 311s Confusion matrix 311s Predicted 311s Actual B O 311s B 0.5 0.5 311s O 0.5 0.5 311s 311s Data: fish 311s 311s Apparent error rate 0.2532 311s 311s Classification table 311s Predicted 311s Actual 1 2 3 4 5 6 7 311s 1 33 0 0 1 0 0 0 311s 2 0 3 0 0 0 0 3 311s 3 0 2 5 0 0 0 13 311s 4 0 0 0 11 0 0 0 311s 5 0 0 0 0 14 0 0 311s 6 0 0 0 0 0 17 0 311s 7 0 19 0 0 2 0 35 311s 311s Confusion matrix 311s Predicted 311s Actual 1 2 3 4 5 6 7 311s 1 0.971 0.000 0.00 0.029 0.000 0 0.000 311s 2 0.000 0.500 0.00 0.000 0.000 0 0.500 311s 3 0.000 0.100 0.25 0.000 0.000 0 0.650 311s 4 0.000 0.000 0.00 1.000 0.000 0 0.000 311s 5 0.000 0.000 0.00 0.000 1.000 0 0.000 311s 6 0.000 0.000 0.00 0.000 0.000 1 0.000 311s 7 0.000 0.339 0.00 0.000 0.036 0 0.625 311s 311s Data: pottery 311s Call: 311s Linda(origin ~ ., data = pottery, method = method) 311s 311s Prior Probabilities of Groups: 311s Attic Eritrean 311s 0.48148 0.51852 311s 311s Group means: 311s SI AL FE MG CA TI 311s Attic 55.872 13.986 10.113 5.0235 4.7316 0.88531 311s Eritrean 52.487 16.286 9.499 2.4520 5.3745 0.83959 311s 311s Within-groups Covariance Matrix: 311s SI AL FE MG CA TI 311s SI 12.795913 3.2987125 -0.35496855 0.9399999 -0.0143514 0.01132392 311s AL 3.298713 1.0829436 -0.03394751 0.2838724 0.0501000 0.00117721 311s FE -0.354969 -0.0339475 0.08078156 0.0341568 -0.0457411 0.00043177 311s MG 0.940000 0.2838724 0.03415675 0.4350013 0.1417876 0.00396576 311s CA -0.014351 0.0501000 -0.04574114 0.1417876 0.4196628 -0.00104893 311s TI 0.011324 0.0011772 0.00043177 0.0039658 -0.0010489 0.00026205 311s 311s Linear Coeficients: 311s SI AL FE MG CA TI 311s Attic 36.451 -63.784 352.90 -124.07 110.08 3826.6 311s Eritrean 29.763 -41.039 325.12 -128.32 107.36 3938.1 311s 311s Constants: 311s Attic Eritrean 311s -4000.1 -3776.1 311s 311s Apparent error rate 0.1111 311s 311s Classification table 311s Predicted 311s Actual Attic Eritrean 311s Attic 12 1 311s Eritrean 2 12 311s 311s Confusion matrix 311s Predicted 311s Actual Attic Eritrean 311s Attic 0.923 0.077 311s Eritrean 0.143 0.857 311s 311s Data: olitos 311s 311s Apparent error rate 0.125 311s 311s Classification table 311s Predicted 311s Actual 1 2 3 4 311s 1 44 2 3 1 311s 2 1 23 1 0 311s 3 4 1 27 2 311s 4 0 0 0 11 311s 311s Confusion matrix 311s Predicted 311s Actual 1 2 3 4 311s 1 0.880 0.040 0.060 0.020 311s 2 0.040 0.920 0.040 0.000 311s 3 0.118 0.029 0.794 0.059 311s 4 0.000 0.000 0.000 1.000 311s =================================================== 311s > dodata(method="ogk") 311s 311s Call: dodata(method = "ogk") 311s =================================================== 311s 311s Data: hemophilia 311s Call: 311s Linda(as.factor(gr) ~ ., data = hemophilia, method = method) 311s 311s Prior Probabilities of Groups: 311s carrier normal 311s 0.6 0.4 311s 311s Group means: 311s AHFactivity AHFantigen 311s carrier -0.29043 -0.00052902 311s normal -0.12463 -0.06715037 311s 311s Within-groups Covariance Matrix: 311s AHFactivity AHFantigen 311s AHFactivity 0.015688 0.010544 311s AHFantigen 0.010544 0.016633 311s 311s Linear Coeficients: 311s AHFactivity AHFantigen 311s carrier -32.2203 20.3935 311s normal -9.1149 1.7409 311s 311s Constants: 311s carrier normal 311s -5.1843 -1.4259 311s 311s Apparent error rate 0.1467 311s 311s Classification table 311s Predicted 311s Actual carrier normal 311s carrier 38 7 311s normal 4 26 311s 311s Confusion matrix 311s Predicted 311s Actual carrier normal 311s carrier 0.844 0.156 311s normal 0.133 0.867 311s 311s Data: anorexia 311s Call: 311s Linda(Treat ~ ., data = anorexia, method = method) 311s 311s Prior Probabilities of Groups: 311s CBT Cont FT 311s 0.40278 0.36111 0.23611 311s 311s Group means: 311s Prewt Postwt 311s CBT 82.634 82.060 311s Cont 81.605 80.459 311s FT 85.157 93.822 311s 311s Within-groups Covariance Matrix: 311s Prewt Postwt 311s Prewt 15.8294 4.4663 311s Postwt 4.4663 19.6356 311s 311s Linear Coeficients: 311s Prewt Postwt 311s CBT 4.3183 3.1970 311s Cont 4.2734 3.1256 311s FT 4.3080 3.7983 311s 311s Constants: 311s CBT Cont FT 311s -310.50 -301.12 -363.05 311s 311s Apparent error rate 0.4583 311s 311s Classification table 311s Predicted 311s Actual CBT Cont FT 311s CBT 15 5 9 311s Cont 14 11 1 311s FT 0 4 13 311s 311s Confusion matrix 311s Predicted 311s Actual CBT Cont FT 311s CBT 0.517 0.172 0.310 311s Cont 0.538 0.423 0.038 311s FT 0.000 0.235 0.765 311s 311s Data: Pima 311s Call: 311s Linda(type ~ ., data = Pima.tr, method = method) 311s 311s Prior Probabilities of Groups: 311s No Yes 311s 0.66 0.34 311s 311s Group means: 311s npreg glu bp skin bmi ped age 311s No 2.4175 109.93 67.332 26.324 30.344 0.38740 26.267 311s Yes 5.1853 142.29 75.194 33.151 34.878 0.47977 37.626 311s 311s Within-groups Covariance Matrix: 311s npreg glu bp skin bmi ped age 311s npreg 7.218576 7.52457 6.96595 4.86613 0.45567 -0.054245 14.42648 311s glu 7.524571 517.38370 58.53812 31.57321 22.68396 -0.200222 22.88780 311s bp 6.965950 58.53812 101.50317 27.86784 10.89215 -0.152784 25.41819 311s skin 4.866127 31.57321 27.86784 95.16949 37.45066 -0.117375 14.60676 311s bmi 0.455675 22.68396 10.89215 37.45066 30.89491 0.043400 4.05584 311s ped -0.054245 -0.20022 -0.15278 -0.11737 0.04340 0.051268 -0.18131 311s age 14.426479 22.88780 25.41819 14.60676 4.05584 -0.181311 57.89570 311s 311s Linear Coeficients: 311s npreg glu bp skin bmi ped age 311s No -0.99043 0.12339 0.54101 -0.35335 1.0721 8.4945 0.45482 311s Yes -1.01369 0.17577 0.53898 -0.35554 1.1563 11.0474 0.63966 311s 311s Constants: 311s No Yes 311s -43.449 -60.176 311s 311s Apparent error rate 0.23 311s 311s Classification table 311s Predicted 311s Actual No Yes 311s No 108 24 311s Yes 22 46 311s 311s Confusion matrix 311s Predicted 311s Actual No Yes 311s No 0.818 0.182 311s Yes 0.324 0.676 311s 311s Data: Forest soils 311s 311s Apparent error rate 0.3621 311s 311s Classification table 311s Predicted 311s Actual 1 2 3 311s 1 7 3 1 311s 2 4 13 6 311s 3 3 4 17 311s 311s Confusion matrix 311s Predicted 311s Actual 1 2 3 311s 1 0.636 0.273 0.091 311s 2 0.174 0.565 0.261 311s 3 0.125 0.167 0.708 311s 311s Data: Raven and Miller diabetes data 311s Call: 311s Linda(group ~ insulin + glucose + sspg, data = diabetes, method = method) 311s 311s Prior Probabilities of Groups: 311s normal chemical overt 311s 0.52414 0.24828 0.22759 311s 311s Group means: 311s insulin glucose sspg 311s normal 159.540 344.06 99.486 311s chemical 252.992 478.16 219.442 311s overt 79.635 1094.96 338.517 311s 311s Within-groups Covariance Matrix: 311s insulin glucose sspg 311s insulin 3844.877 67.238 1456.55 311s glucose 67.238 2228.396 324.21 311s sspg 1456.548 324.205 2181.73 311s 311s Linear Coeficients: 311s insulin glucose sspg 311s normal 0.040407 0.15379 -0.0042303 311s chemical 0.047858 0.20764 0.0377766 311s overt -0.026158 0.47736 0.1016873 311s 311s Constants: 311s normal chemical overt 311s -30.115 -61.233 -278.996 311s 311s Apparent error rate 0.0966 311s 311s Classification table 311s Predicted 311s Actual normal chemical overt 311s normal 71 5 0 311s chemical 2 34 0 311s overt 0 7 26 311s 311s Confusion matrix 311s Predicted 311s Actual normal chemical overt 311s normal 0.934 0.066 0.000 311s chemical 0.056 0.944 0.000 311s overt 0.000 0.212 0.788 311s 311s Data: iris 311s Call: 311s Linda(Species ~ ., data = iris, method = method, l1med = TRUE) 311s 311s Prior Probabilities of Groups: 311s setosa versicolor virginica 311s 0.33333 0.33333 0.33333 311s 311s Group means: 311s Sepal.Length Sepal.Width Petal.Length Petal.Width 311s setosa 4.9654 3.3913 1.4507 0.21639 311s versicolor 5.8767 2.7909 4.2238 1.34189 311s virginica 6.5075 2.9777 5.4459 2.05921 311s 311s Within-groups Covariance Matrix: 311s Sepal.Length Sepal.Width Petal.Length Petal.Width 311s Sepal.Length 0.180280 0.068876 0.101512 0.036096 311s Sepal.Width 0.068876 0.079556 0.047722 0.029409 311s Petal.Length 0.101512 0.047722 0.111492 0.038658 311s Petal.Width 0.036096 0.029409 0.038658 0.029965 311s 311s Linear Coeficients: 311s Sepal.Length Sepal.Width Petal.Length Petal.Width 311s setosa 28.582 46.5236 -13.859 -54.9877 311s versicolor 19.837 11.9601 20.865 -17.7704 311s virginica 16.999 1.9046 29.808 7.9189 311s 311s Constants: 311s setosa versicolor virginica 311s -134.94 -108.22 -148.56 311s 311s Apparent error rate 0.0133 311s 311s Classification table 311s Predicted 311s Actual setosa versicolor virginica 311s setosa 50 0 0 311s versicolor 0 49 1 311s virginica 0 1 49 311s 311s Confusion matrix 311s Predicted 311s Actual setosa versicolor virginica 311s setosa 1 0.00 0.00 311s versicolor 0 0.98 0.02 311s virginica 0 0.02 0.98 311s 311s Data: crabs 311s Call: 311s Linda(sp ~ ., data = crabs, method = method) 311s 311s Prior Probabilities of Groups: 311s B O 311s 0.5 0.5 311s 311s Group means: 311s sexM index FL RW CL CW BD 311s B 0.48948 24.060 13.801 11.738 29.491 34.062 12.329 311s O 0.56236 24.043 16.825 13.158 33.574 37.418 15.223 311s 311s Within-groups Covariance Matrix: 311s sexM index FL RW CL CW BD 311s sexM 0.24961 0.50421 0.16645 -0.28574 0.54159 0.48449 0.22563 311s index 0.50421 186.86616 38.46284 25.26749 82.29121 92.11253 37.67723 311s FL 0.16645 38.46284 8.58830 5.56769 18.33015 20.58235 8.32030 311s RW -0.28574 25.26749 5.56769 4.52038 11.70881 13.37643 5.32779 311s CL 0.54159 82.29121 18.33015 11.70881 39.78186 44.52112 18.01179 311s CW 0.48449 92.11253 20.58235 13.37643 44.52112 50.06150 20.16852 311s BD 0.22563 37.67723 8.32030 5.32779 18.01179 20.16852 8.25884 311s 311s Linear Coeficients: 311s sexM index FL RW CL CW BD 311s B 16.497 -2.5896 8.3966 11.518 1.7536 -2.5325 -0.67361 311s O 17.010 -4.0452 23.5400 13.702 4.7871 -14.8264 13.04556 311s 311s Constants: 311s B O 311s -77.695 -147.287 311s 311s Apparent error rate 0 311s 311s Classification table 311s Predicted 311s Actual B O 311s B 100 0 311s O 0 100 311s 311s Confusion matrix 311s Predicted 311s Actual B O 311s B 1 0 311s O 0 1 311s 311s Data: fish 311s 311s Apparent error rate 0.0063 311s 311s Classification table 311s Predicted 311s Actual 1 2 3 4 5 6 7 311s 1 34 0 0 0 0 0 0 311s 2 0 6 0 0 0 0 0 311s 3 0 0 20 0 0 0 0 311s 4 0 0 0 11 0 0 0 311s 5 0 0 0 0 14 0 0 311s 6 0 0 0 0 0 17 0 311s 7 0 0 0 0 1 0 55 311s 311s Confusion matrix 311s Predicted 311s Actual 1 2 3 4 5 6 7 311s 1 1 0 0 0 0.000 0 0.000 311s 2 0 1 0 0 0.000 0 0.000 311s 3 0 0 1 0 0.000 0 0.000 311s 4 0 0 0 1 0.000 0 0.000 311s 5 0 0 0 0 1.000 0 0.000 311s 6 0 0 0 0 0.000 1 0.000 311s 7 0 0 0 0 0.018 0 0.982 311s 311s Data: pottery 311s Call: 311s Linda(origin ~ ., data = pottery, method = method) 311s 311s Prior Probabilities of Groups: 311s Attic Eritrean 311s 0.48148 0.51852 311s 311s Group means: 311s SI AL FE MG CA TI 311s Attic 55.381 14.088 10.1316 4.9588 4.7684 0.88444 311s Eritrean 53.559 16.251 9.1145 2.6213 5.8980 0.82501 311s 311s Within-groups Covariance Matrix: 311s SI AL FE MG CA TI 311s SI 7.878378 1.9064112 -0.545403 0.4167407 -0.11589 0.01850748 311s AL 1.906411 0.6678763 -0.037744 0.1120891 -0.10733 0.00805556 311s FE -0.545403 -0.0377438 0.213914 -0.0192356 -0.23121 0.00582800 311s MG 0.416741 0.1120891 -0.019236 0.2336721 0.17284 -0.00183128 311s CA -0.115888 -0.1073297 -0.231213 0.1728385 0.71388 -0.01895968 311s TI 0.018507 0.0080556 0.005828 -0.0018313 -0.01896 0.00081815 311s 311s Linear Coeficients: 311s SI AL FE MG CA TI 311s Attic 57.784 -107.297 319.31 -152.94 241.66 3813.6 311s Eritrean 52.523 -86.545 306.58 -165.71 242.36 3734.1 311s 311s Constants: 311s Attic Eritrean 311s -4346 -4139 311s 311s Apparent error rate 0.1111 311s 311s Classification table 311s Predicted 311s Actual Attic Eritrean 311s Attic 12 1 311s Eritrean 2 12 311s 311s Confusion matrix 311s Predicted 311s Actual Attic Eritrean 311s Attic 0.923 0.077 311s Eritrean 0.143 0.857 311s 311s Data: olitos 311s 311s Apparent error rate 0.1 311s 311s Classification table 311s Predicted 311s Actual 1 2 3 4 311s 1 45 2 2 1 311s 2 0 25 0 0 311s 3 4 1 27 2 311s 4 0 0 0 11 311s 311s Confusion matrix 311s Predicted 311s Actual 1 2 3 4 311s 1 0.900 0.040 0.040 0.020 311s 2 0.000 1.000 0.000 0.000 311s 3 0.118 0.029 0.794 0.059 311s 4 0.000 0.000 0.000 1.000 311s =================================================== 311s > #dodata(method="fsa") 311s > 311s BEGIN TEST tldapp.R 311s 311s R version 4.3.3 (2024-02-29) -- "Angel Food Cake" 311s Copyright (C) 2024 The R Foundation for Statistical Computing 311s Platform: arm-unknown-linux-gnueabihf (32-bit) 311s 311s R is free software and comes with ABSOLUTELY NO WARRANTY. 311s You are welcome to redistribute it under certain conditions. 311s Type 'license()' or 'licence()' for distribution details. 311s 311s R is a collaborative project with many contributors. 311s Type 'contributors()' for more information and 311s 'citation()' on how to cite R or R packages in publications. 311s 311s Type 'demo()' for some demos, 'help()' for on-line help, or 311s 'help.start()' for an HTML browser interface to help. 311s Type 'q()' to quit R. 311s 311s > ## VT::15.09.2013 - this will render the output independent 311s > ## from the version of the package 311s > suppressPackageStartupMessages(library(rrcov)) 312s > library(MASS) 312s > 312s > dodata <- function(method) { 312s + 312s + options(digits = 5) 312s + set.seed(101) 312s + 312s + tmp <- sys.call() 312s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 312s + cat("===================================================\n") 312s + 312s + data(pottery); show(lda <- LdaPP(origin~., data=pottery, method=method)); show(predict(lda)) 312s + data(hemophilia); show(lda <- LdaPP(as.factor(gr)~., data=hemophilia, method=method)); show(predict(lda)) 312s + data(anorexia); show(lda <- LdaPP(Treat~., data=anorexia, method=method)); show(predict(lda)) 312s + data(Pima.tr); show(lda <- LdaPP(type~., data=Pima.tr, method=method)); show(predict(lda)) 312s + data(crabs); show(lda <- LdaPP(sp~., data=crabs, method=method)); show(predict(lda)) 312s + 312s + cat("===================================================\n") 312s + } 312s > 312s > 312s > ## -- now do it: 312s > 312s > ## Commented out - still to slow 312s > ##dodata(method="huber") 312s > ##dodata(method="sest") 312s > 312s > ## VT::14.11.2018 - Commented out: too slow 312s > ## dodata(method="mad") 312s > ## dodata(method="class") 312s > 312s BEGIN TEST tmcd4.R 312s 312s R version 4.3.3 (2024-02-29) -- "Angel Food Cake" 312s Copyright (C) 2024 The R Foundation for Statistical Computing 312s Platform: arm-unknown-linux-gnueabihf (32-bit) 312s 312s R is free software and comes with ABSOLUTELY NO WARRANTY. 312s You are welcome to redistribute it under certain conditions. 312s Type 'license()' or 'licence()' for distribution details. 312s 312s R is a collaborative project with many contributors. 312s Type 'contributors()' for more information and 312s 'citation()' on how to cite R or R packages in publications. 312s 312s Type 'demo()' for some demos, 'help()' for on-line help, or 312s 'help.start()' for an HTML browser interface to help. 312s Type 'q()' to quit R. 312s 312s > ## Test the exact fit property of CovMcd 312s > doexactfit <- function(){ 312s + exact <-function(seed=1234){ 312s + 312s + set.seed(seed) 312s + 312s + n1 <- 45 312s + p <- 2 312s + x1 <- matrix(rnorm(p*n1),nrow=n1, ncol=p) 312s + x1[,p] <- x1[,p] + 3 312s + n2 <- 55 312s + m1 <- 0 312s + m2 <- 3 312s + x2 <- cbind(rnorm(n2),rep(m2,n2)) 312s + x<-rbind(x1,x2) 312s + colnames(x) <- c("X1","X2") 312s + x 312s + } 312s + print(CovMcd(exact())) 312s + } 312s > 312s > dodata <- function(nrep=1, time=FALSE, short=FALSE, full=TRUE, method = c("FASTMCD","MASS", "deterministic", "exact", "MRCD")){ 312s + ##@bdescr 312s + ## Test the function covMcd() on the literature datasets: 312s + ## 312s + ## Call CovMcd() for all regression datasets available in rrcov and print: 312s + ## - execution time (if time == TRUE) 312s + ## - objective fucntion 312s + ## - best subsample found (if short == false) 312s + ## - outliers identified (with cutoff 0.975) (if short == false) 312s + ## - estimated center and covarinance matrix if full == TRUE) 312s + ## 312s + ##@edescr 312s + ## 312s + ##@in nrep : [integer] number of repetitions to use for estimating the 312s + ## (average) execution time 312s + ##@in time : [boolean] whether to evaluate the execution time 312s + ##@in short : [boolean] whether to do short output (i.e. only the 312s + ## objective function value). If short == FALSE, 312s + ## the best subsample and the identified outliers are 312s + ## printed. See also the parameter full below 312s + ##@in full : [boolean] whether to print the estimated cente and covariance matrix 312s + ##@in method : [character] select a method: one of (FASTMCD, MASS) 312s + 312s + doest <- function(x, xname, nrep=1){ 312s + n <- dim(x)[1] 312s + p <- dim(x)[2] 312s + if(method == "MASS"){ 312s + mcd<-cov.mcd(x) 312s + quan <- as.integer(floor((n + p + 1)/2)) #default: floor((n+p+1)/2) 312s + } 312s + else{ 312s + mcd <- if(method=="deterministic") CovMcd(x, nsamp="deterministic", trace=FALSE) 312s + else if(method=="exact") CovMcd(x, nsamp="exact", trace=FALSE) 312s + else if(method=="MRCD") CovMrcd(x, trace=FALSE) 312s + else CovMcd(x, trace=FALSE) 312s + quan <- as.integer(mcd@quan) 312s + } 312s + 312s + crit <- mcd@crit 312s + 312s + if(time){ 312s + xtime <- system.time(dorep(x, nrep, method))[1]/nrep 312s + xres <- sprintf("%3d %3d %3d %12.6f %10.3f\n", dim(x)[1], dim(x)[2], quan, crit, xtime) 312s + } 312s + else{ 312s + xres <- sprintf("%3d %3d %3d %12.6f\n", dim(x)[1], dim(x)[2], quan, crit) 312s + } 312s + lpad<-lname-nchar(xname) 312s + cat(pad.right(xname,lpad), xres) 312s + 312s + if(!short){ 312s + cat("Best subsample: \n") 312s + if(length(mcd@best) > 150) 312s + cat("Too long... \n") 312s + else 312s + print(mcd@best) 312s + 312s + ibad <- which(mcd@wt==0) 312s + names(ibad) <- NULL 312s + nbad <- length(ibad) 312s + cat("Outliers: ",nbad,"\n") 312s + if(nbad > 0 & nbad < 150) 312s + print(ibad) 312s + else 312s + cat("Too many to print ... \n") 312s + if(full){ 312s + cat("-------------\n") 312s + show(mcd) 312s + } 312s + cat("--------------------------------------------------------\n") 312s + } 312s + } 312s + 312s + options(digits = 5) 312s + set.seed(101) # <<-- sub-sampling algorithm now based on R's RNG and seed 312s + 312s + lname <- 20 312s + 312s + ## VT::15.09.2013 - this will render the output independent 312s + ## from the version of the package 312s + suppressPackageStartupMessages(library(rrcov)) 312s + 312s + method <- match.arg(method) 312s + if(method == "MASS") 312s + library(MASS) 312s + 312s + data(Animals, package = "MASS") 312s + brain <- Animals[c(1:24, 26:25, 27:28),] 312s + 312s + data(fish) 312s + data(pottery) 312s + data(rice) 312s + data(un86) 312s + data(wages) 312s + 312s + tmp <- sys.call() 312s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 312s + 312s + cat("Data Set n p Half LOG(obj) Time\n") 312s + cat("========================================================\n") 312s + 312s + if(method=="exact") 312s + { 312s + ## only small data sets 312s + doest(heart[, 1:2], data(heart), nrep) 312s + doest(starsCYG, data(starsCYG), nrep) 312s + doest(data.matrix(subset(phosphor, select = -plant)), data(phosphor), nrep) 312s + doest(data.matrix(subset(coleman, select = -Y)), data(coleman), nrep) 312s + doest(data.matrix(subset(salinity, select = -Y)), data(salinity), nrep) 312s + doest(data.matrix(subset(wood, select = -y)), data(wood), nrep) 312s + doest(brain, "Animals", nrep) 312s + doest(lactic, data(lactic), nrep) 312s + doest(pension, data(pension), nrep) 312s + doest(data.matrix(subset(vaso, select = -Y)), data(vaso), nrep) 312s + doest(stack.x, data(stackloss), nrep) 312s + doest(pilot, data(pilot), nrep) 312s + } else 312s + { 312s + doest(heart[, 1:2], data(heart), nrep) 312s + doest(starsCYG, data(starsCYG), nrep) 312s + doest(data.matrix(subset(phosphor, select = -plant)), data(phosphor), nrep) 312s + doest(stack.x, data(stackloss), nrep) 312s + doest(data.matrix(subset(coleman, select = -Y)), data(coleman), nrep) 312s + doest(data.matrix(subset(salinity, select = -Y)), data(salinity), nrep) 312s + doest(data.matrix(subset(wood, select = -y)), data(wood), nrep) 312s + doest(data.matrix(subset(hbk, select = -Y)),data(hbk), nrep) 312s + 312s + doest(brain, "Animals", nrep) 312s + ## doest(milk, data(milk), nrep) # difference between 386 and x64 312s + doest(bushfire, data(bushfire), nrep) 312s + 312s + doest(lactic, data(lactic), nrep) 312s + doest(pension, data(pension), nrep) 312s + ## doest(pilot, data(pilot), nrep) # difference between 386 and x64 312s + 312s + if(method != "MRCD") # these two are quite slow for MRCD, especially the second one 312s + { 312s + doest(radarImage, data(radarImage), nrep) 312s + doest(NOxEmissions, data(NOxEmissions), nrep) 312s + } 312s + 312s + doest(data.matrix(subset(vaso, select = -Y)), data(vaso), nrep) 312s + doest(data.matrix(subset(wagnerGrowth, select = -Period)), data(wagnerGrowth), nrep) 312s + 312s + doest(data.matrix(subset(fish, select = -Species)), data(fish), nrep) 312s + doest(data.matrix(subset(pottery, select = -origin)), data(pottery), nrep) 312s + doest(rice, data(rice), nrep) 312s + doest(un86, data(un86), nrep) 312s + 312s + doest(wages, data(wages), nrep) 312s + 312s + ## from package 'datasets' 312s + doest(airquality[,1:4], data(airquality), nrep) 312s + doest(attitude, data(attitude), nrep) 312s + doest(attenu, data(attenu), nrep) 312s + doest(USJudgeRatings, data(USJudgeRatings), nrep) 312s + doest(USArrests, data(USArrests), nrep) 312s + doest(longley, data(longley), nrep) 312s + doest(Loblolly, data(Loblolly), nrep) 312s + doest(quakes[,1:4], data(quakes), nrep) 312s + } 312s + cat("========================================================\n") 312s + } 312s > 312s > dogen <- function(nrep=1, eps=0.49, method=c("FASTMCD", "MASS")){ 312s + 312s + doest <- function(x, nrep=1){ 312s + gc() 312s + xtime <- system.time(dorep(x, nrep, method))[1]/nrep 312s + cat(sprintf("%6d %3d %10.2f\n", dim(x)[1], dim(x)[2], xtime)) 312s + xtime 312s + } 312s + 312s + set.seed(1234) 312s + 312s + ## VT::15.09.2013 - this will render the output independent 312s + ## from the version of the package 312s + suppressPackageStartupMessages(library(rrcov)) 312s + 312s + library(MASS) 312s + method <- match.arg(method) 312s + 312s + ap <- c(2, 5, 10, 20, 30) 312s + an <- c(100, 500, 1000, 10000, 50000) 312s + 312s + tottime <- 0 312s + cat(" n p Time\n") 312s + cat("=====================\n") 312s + for(i in 1:length(an)) { 312s + for(j in 1:length(ap)) { 312s + n <- an[i] 312s + p <- ap[j] 312s + if(5*p <= n){ 312s + xx <- gendata(n, p, eps) 312s + X <- xx$X 312s + tottime <- tottime + doest(X, nrep) 312s + } 312s + } 312s + } 312s + 312s + cat("=====================\n") 312s + cat("Total time: ", tottime*nrep, "\n") 312s + } 312s > 312s > docheck <- function(n, p, eps){ 312s + xx <- gendata(n,p,eps) 312s + mcd <- CovMcd(xx$X) 312s + check(mcd, xx$xind) 312s + } 312s > 312s > check <- function(mcd, xind){ 312s + ## check if mcd is robust w.r.t xind, i.e. check how many of xind 312s + ## did not get zero weight 312s + mymatch <- xind %in% which(mcd@wt == 0) 312s + length(xind) - length(which(mymatch)) 312s + } 312s > 312s > dorep <- function(x, nrep=1, method=c("FASTMCD","MASS", "deterministic", "exact", "MRCD")){ 312s + 312s + method <- match.arg(method) 312s + for(i in 1:nrep) 312s + if(method == "MASS") 312s + cov.mcd(x) 312s + else 312s + { 312s + if(method=="deterministic") CovMcd(x, nsamp="deterministic", trace=FALSE) 312s + else if(method=="exact") CovMcd(x, nsamp="exact", trace=FALSE) 312s + else if(method=="MRCD") CovMrcd(x, trace=FALSE) 312s + else CovMcd(x, trace=FALSE) 312s + } 312s + } 312s > 312s > #### gendata() #### 312s > # Generates a location contaminated multivariate 312s > # normal sample of n observations in p dimensions 312s > # (1-eps)*Np(0,Ip) + eps*Np(m,Ip) 312s > # where 312s > # m = (b,b,...,b) 312s > # Defaults: eps=0 and b=10 312s > # 312s > gendata <- function(n,p,eps=0,b=10){ 312s + 312s + if(missing(n) || missing(p)) 312s + stop("Please specify (n,p)") 312s + if(eps < 0 || eps >= 0.5) 312s + stop(message="eps must be in [0,0.5)") 312s + X <- mvrnorm(n,rep(0,p),diag(1,nrow=p,ncol=p)) 312s + nbad <- as.integer(eps * n) 312s + if(nbad > 0){ 312s + Xbad <- mvrnorm(nbad,rep(b,p),diag(1,nrow=p,ncol=p)) 312s + xind <- sample(n,nbad) 312s + X[xind,] <- Xbad 312s + } 312s + list(X=X, xind=xind) 312s + } 312s > 312s > pad.right <- function(z, pads) 312s + { 312s + ### Pads spaces to right of text 312s + padding <- paste(rep(" ", pads), collapse = "") 312s + paste(z, padding, sep = "") 312s + } 312s > 312s > whatis<-function(x){ 312s + if(is.data.frame(x)) 312s + cat("Type: data.frame\n") 312s + else if(is.matrix(x)) 312s + cat("Type: matrix\n") 312s + else if(is.vector(x)) 312s + cat("Type: vector\n") 312s + else 312s + cat("Type: don't know\n") 312s + } 312s > 312s > ## VT::15.09.2013 - this will render the output independent 312s > ## from the version of the package 312s > suppressPackageStartupMessages(library(rrcov)) 312s > 312s > dodata() 312s 312s Call: dodata() 312s Data Set n p Half LOG(obj) Time 312s ======================================================== 312s heart 12 2 7 5.678742 312s Best subsample: 312s [1] 1 3 4 5 7 9 11 312s Outliers: 0 312s Too many to print ... 312s ------------- 312s 312s Call: 312s CovMcd(x = x, trace = FALSE) 312s -> Method: Fast MCD(alpha=0.5 ==> h=7); nsamp = 500; (n,k)mini = (300,5) 312s 312s Robust Estimate of Location: 312s height weight 312s 38.3 33.1 312s 312s Robust Estimate of Covariance: 312s height weight 312s height 135 259 312s weight 259 564 312s -------------------------------------------------------- 313s starsCYG 47 2 25 -8.031215 313s Best subsample: 313s [1] 1 2 4 6 8 10 12 13 16 24 25 26 28 32 33 37 38 39 40 41 42 43 44 45 46 313s Outliers: 7 313s [1] 7 9 11 14 20 30 34 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=25); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s log.Te log.light 313s 4.41 4.95 313s 313s Robust Estimate of Covariance: 313s log.Te log.light 313s log.Te 0.0132 0.0394 313s log.light 0.0394 0.2743 313s -------------------------------------------------------- 313s phosphor 18 2 10 6.878847 313s Best subsample: 313s [1] 3 5 8 9 11 12 13 14 15 17 313s Outliers: 3 313s [1] 1 6 10 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=10); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s inorg organic 313s 13.4 38.8 313s 313s Robust Estimate of Covariance: 313s inorg organic 313s inorg 129 130 313s organic 130 182 313s -------------------------------------------------------- 313s stackloss 21 3 12 5.472581 313s Best subsample: 313s [1] 4 5 6 7 8 9 10 11 12 13 14 20 313s Outliers: 9 313s [1] 1 2 3 15 16 17 18 19 21 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=12); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s Air.Flow Water.Temp Acid.Conc. 313s 59.5 20.8 87.3 313s 313s Robust Estimate of Covariance: 313s Air.Flow Water.Temp Acid.Conc. 313s Air.Flow 6.29 5.85 5.74 313s Water.Temp 5.85 9.23 6.14 313s Acid.Conc. 5.74 6.14 23.25 313s -------------------------------------------------------- 313s coleman 20 5 13 1.286808 313s Best subsample: 313s [1] 2 3 4 5 7 8 12 13 14 16 17 19 20 313s Outliers: 7 313s [1] 1 6 9 10 11 15 18 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=13); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s salaryP fatherWc sstatus teacherSc motherLev 313s 2.76 48.38 6.12 25.00 6.40 313s 313s Robust Estimate of Covariance: 313s salaryP fatherWc sstatus teacherSc motherLev 313s salaryP 0.253 1.786 -0.266 0.151 0.075 313s fatherWc 1.786 1303.382 330.496 12.604 34.503 313s sstatus -0.266 330.496 119.888 3.833 10.131 313s teacherSc 0.151 12.604 3.833 0.785 0.555 313s motherLev 0.075 34.503 10.131 0.555 1.043 313s -------------------------------------------------------- 313s salinity 28 3 16 1.326364 313s Best subsample: 313s [1] 1 2 6 7 8 12 13 14 18 20 21 22 25 26 27 28 313s Outliers: 4 313s [1] 5 16 23 24 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=16); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s X1 X2 X3 313s 10.08 2.78 22.78 313s 313s Robust Estimate of Covariance: 313s X1 X2 X3 313s X1 10.44 1.01 -3.19 313s X2 1.01 3.83 -1.44 313s X3 -3.19 -1.44 2.39 313s -------------------------------------------------------- 313s wood 20 5 13 -36.270094 313s Best subsample: 313s [1] 1 2 3 5 9 10 12 13 14 15 17 18 20 313s Outliers: 7 313s [1] 4 6 7 8 11 16 19 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=13); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s x1 x2 x3 x4 x5 313s 0.587 0.122 0.531 0.538 0.892 313s 313s Robust Estimate of Covariance: 313s x1 x2 x3 x4 x5 313s x1 1.00e-02 1.88e-03 3.15e-03 -5.86e-04 -1.63e-03 313s x2 1.88e-03 4.85e-04 1.27e-03 -5.20e-05 2.36e-05 313s x3 3.15e-03 1.27e-03 6.63e-03 -8.71e-04 3.52e-04 313s x4 -5.86e-04 -5.20e-05 -8.71e-04 2.85e-03 1.83e-03 313s x5 -1.63e-03 2.36e-05 3.52e-04 1.83e-03 2.77e-03 313s -------------------------------------------------------- 313s hbk 75 3 39 -1.047858 313s Best subsample: 313s [1] 15 16 17 18 19 20 21 22 23 24 26 27 31 32 33 35 36 37 38 40 43 49 50 51 54 313s [26] 55 56 58 59 61 63 64 66 67 70 71 72 73 74 313s Outliers: 14 313s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=39); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s X1 X2 X3 313s 1.54 1.78 1.69 313s 313s Robust Estimate of Covariance: 313s X1 X2 X3 313s X1 1.227 0.055 0.127 313s X2 0.055 1.249 0.153 313s X3 0.127 0.153 1.160 313s -------------------------------------------------------- 313s Animals 28 2 15 14.555543 313s Best subsample: 313s [1] 1 3 4 5 10 11 17 18 19 20 21 22 23 26 27 313s Outliers: 14 313s [1] 2 6 7 8 9 12 13 14 15 16 23 24 25 28 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=15); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s body brain 313s 18.7 64.9 313s 313s Robust Estimate of Covariance: 313s body brain 313s body 929 1576 313s brain 1576 5646 313s -------------------------------------------------------- 313s bushfire 38 5 22 18.135810 313s Best subsample: 313s [1] 1 2 3 4 5 6 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 313s Outliers: 16 313s [1] 7 8 9 10 11 12 29 30 31 32 33 34 35 36 37 38 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=22); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s V1 V2 V3 V4 V5 313s 105 147 274 218 279 313s 313s Robust Estimate of Covariance: 313s V1 V2 V3 V4 V5 313s V1 346 268 -1692 -381 -311 313s V2 268 236 -1125 -230 -194 313s V3 -1692 -1125 9993 2455 1951 313s V4 -381 -230 2455 647 505 313s V5 -311 -194 1951 505 398 313s -------------------------------------------------------- 313s lactic 20 2 11 0.359580 313s Best subsample: 313s [1] 1 2 3 4 5 7 8 9 10 11 12 313s Outliers: 4 313s [1] 17 18 19 20 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=11); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s X Y 313s 3.86 5.01 313s 313s Robust Estimate of Covariance: 313s X Y 313s X 10.6 14.6 313s Y 14.6 21.3 313s -------------------------------------------------------- 313s pension 18 2 10 16.675508 313s Best subsample: 313s [1] 1 2 3 4 5 6 8 9 11 12 313s Outliers: 5 313s [1] 14 15 16 17 18 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=10); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s Income Reserves 313s 52.3 560.9 313s 313s Robust Estimate of Covariance: 313s Income Reserves 313s Income 1420 11932 313s Reserves 11932 208643 313s -------------------------------------------------------- 313s radarImage 1573 5 789 36.694425 313s Best subsample: 313s Too long... 313s Outliers: 117 313s [1] 164 237 238 242 261 262 351 450 451 462 480 481 509 516 535 313s [16] 542 572 597 620 643 654 669 697 737 802 803 804 818 832 833 313s [31] 834 862 863 864 892 900 939 989 1029 1064 1123 1132 1145 1202 1223 313s [46] 1224 1232 1233 1249 1250 1258 1259 1267 1303 1347 1357 1368 1375 1376 1393 313s [61] 1394 1402 1403 1411 1417 1419 1420 1428 1436 1443 1444 1453 1470 1479 1487 313s [76] 1492 1504 1510 1511 1512 1517 1518 1519 1520 1521 1522 1525 1526 1527 1528 313s [91] 1530 1532 1534 1543 1544 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 313s [106] 1557 1558 1561 1562 1564 1565 1566 1567 1569 1570 1571 1573 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=789); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s X.coord Y.coord Band.1 Band.2 Band.3 313s 52.80 35.12 6.77 18.44 8.90 313s 313s Robust Estimate of Covariance: 313s X.coord Y.coord Band.1 Band.2 Band.3 313s X.coord 123.6 23.0 -361.9 -197.1 -22.5 313s Y.coord 23.0 400.6 34.3 -191.1 -39.1 313s Band.1 -361.9 34.3 27167.9 8178.8 473.7 313s Band.2 -197.1 -191.1 8178.8 26021.8 952.4 313s Band.3 -22.5 -39.1 473.7 952.4 4458.4 313s -------------------------------------------------------- 313s NOxEmissions 8088 4 4046 2.474539 313s Best subsample: 313s Too long... 313s Outliers: 2156 313s Too many to print ... 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=4046); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s julday LNOx LNOxEm sqrtWS 313s 168.19 4.73 7.91 1.37 313s 313s Robust Estimate of Covariance: 313s julday LNOx LNOxEm sqrtWS 313s julday 9180.6297 12.0306 0.7219 -10.1273 313s LNOx 12.0306 0.4721 0.1418 -0.1526 313s LNOxEm 0.7219 0.1418 0.2516 0.0438 313s sqrtWS -10.1273 -0.1526 0.0438 0.2073 313s -------------------------------------------------------- 313s vaso 39 2 21 -3.972244 313s Best subsample: 313s [1] 3 4 8 14 18 19 20 21 22 23 24 25 26 27 28 33 34 35 37 38 39 313s Outliers: 4 313s [1] 1 2 17 31 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=21); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s Volume Rate 313s 1.16 1.72 313s 313s Robust Estimate of Covariance: 313s Volume Rate 313s Volume 0.313 -0.167 313s Rate -0.167 0.728 313s -------------------------------------------------------- 313s wagnerGrowth 63 6 35 6.572208 313s Best subsample: 313s [1] 2 3 4 5 6 7 9 10 11 12 13 14 16 17 18 20 23 25 27 31 32 35 36 38 44 313s [26] 48 51 52 53 54 55 56 57 60 62 313s Outliers: 13 313s [1] 1 8 15 21 22 28 29 33 42 43 46 50 63 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=35); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s Region PA GPA HS GHS y 313s 11.00 33.66 -2.00 2.48 0.31 7.48 313s 313s Robust Estimate of Covariance: 313s Region PA GPA HS GHS y 313s Region 35.5615 17.9337 -0.5337 -0.9545 -0.3093 -14.0090 313s PA 17.9337 27.7333 -4.9017 -1.4174 0.0343 -28.7040 313s GPA -0.5337 -4.9017 5.3410 0.2690 -0.1484 4.0006 313s HS -0.9545 -1.4174 0.2690 0.8662 -0.0454 2.9024 313s GHS -0.3093 0.0343 -0.1484 -0.0454 0.1772 0.7457 313s y -14.0090 -28.7040 4.0006 2.9024 0.7457 82.6877 313s -------------------------------------------------------- 313s fish 159 6 82 8.879005 313s Best subsample: 313s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 313s [20] 20 21 22 23 24 25 26 27 28 30 32 35 36 37 42 43 44 45 46 313s [39] 47 48 49 50 51 52 53 54 55 56 57 58 59 60 107 109 110 111 113 313s [58] 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 313s [77] 134 135 136 137 138 139 313s Outliers: 63 313s [1] 30 39 40 41 42 62 63 64 65 66 68 69 70 73 74 75 76 77 78 313s [20] 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 313s [39] 98 99 100 101 102 103 104 105 141 143 144 145 147 148 149 150 151 152 153 313s [58] 154 155 156 157 158 159 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=82); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s Weight Length1 Length2 Length3 Height Width 313s 329.9 24.5 26.6 29.7 31.1 14.7 313s 313s Robust Estimate of Covariance: 313s Weight Length1 Length2 Length3 Height Width 313s Weight 69082.99 1477.81 1613.64 1992.62 1439.32 -62.12 313s Length1 1477.81 34.68 37.61 45.51 28.82 -1.31 313s Length2 1613.64 37.61 40.88 49.52 31.81 -1.40 313s Length3 1992.62 45.51 49.52 61.16 42.65 -2.25 313s Height 1439.32 28.82 31.81 42.65 46.74 -2.82 313s Width -62.12 -1.31 -1.40 -2.25 -2.82 1.01 313s -------------------------------------------------------- 313s pottery 27 6 17 -10.586933 313s Best subsample: 313s [1] 1 2 4 5 6 9 10 11 13 14 15 19 20 21 22 26 27 313s Outliers: 9 313s [1] 3 8 12 16 17 18 23 24 25 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=17); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s SI AL FE MG CA TI 313s 54.983 15.206 9.700 3.817 5.211 0.859 313s 313s Robust Estimate of Covariance: 313s SI AL FE MG CA TI 313s SI 20.58227 2.28743 -0.02039 2.12648 -1.80227 0.08821 313s AL 2.28743 4.03605 -0.63021 -2.49966 0.20842 -0.02038 313s FE -0.02039 -0.63021 0.27803 0.53382 -0.35125 0.01427 313s MG 2.12648 -2.49966 0.53382 2.79561 -0.15786 0.02847 313s CA -1.80227 0.20842 -0.35125 -0.15786 1.23240 -0.03465 313s TI 0.08821 -0.02038 0.01427 0.02847 -0.03465 0.00175 313s -------------------------------------------------------- 313s rice 105 6 56 -14.463986 313s Best subsample: 313s [1] 2 4 6 8 10 12 15 18 21 22 24 29 30 31 32 33 34 36 37 313s [20] 38 41 44 45 47 51 52 53 54 55 59 61 65 67 68 69 70 72 76 313s [39] 78 79 80 81 82 83 84 85 86 92 93 94 95 97 98 99 102 105 313s Outliers: 13 313s [1] 9 14 19 28 40 42 49 58 62 71 75 77 89 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=56); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s Favor Appearance Taste Stickiness 313s -0.2731 0.0600 -0.1468 0.0646 313s Toughness Overall_evaluation 313s 0.0894 -0.2192 313s 313s Robust Estimate of Covariance: 313s Favor Appearance Taste Stickiness Toughness 313s Favor 0.388 0.323 0.393 0.389 -0.195 313s Appearance 0.323 0.503 0.494 0.494 -0.270 313s Taste 0.393 0.494 0.640 0.629 -0.361 313s Stickiness 0.389 0.494 0.629 0.815 -0.486 313s Toughness -0.195 -0.270 -0.361 -0.486 0.451 313s Overall_evaluation 0.471 0.575 0.723 0.772 -0.457 313s Overall_evaluation 313s Favor 0.471 313s Appearance 0.575 313s Taste 0.723 313s Stickiness 0.772 313s Toughness -0.457 313s Overall_evaluation 0.882 313s -------------------------------------------------------- 313s un86 73 7 40 17.009322 313s Best subsample: 313s [1] 1 2 9 10 12 14 16 17 18 20 23 24 26 27 31 32 37 39 41 42 45 47 48 49 50 313s [26] 51 52 55 56 60 61 62 63 64 65 67 70 71 72 73 313s Outliers: 30 313s [1] 3 4 5 6 7 8 11 13 15 19 21 22 28 29 30 34 35 36 38 40 43 44 46 53 54 313s [26] 58 59 66 68 69 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=40); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s POP MOR CAR DR GNP DEN TB 313s 20.740 71.023 6.435 0.817 1.146 56.754 0.441 313s 313s Robust Estimate of Covariance: 313s POP MOR CAR DR GNP DEN 313s POP 582.4034 224.9343 -12.6722 -1.6729 -3.3664 226.1952 313s MOR 224.9343 2351.3907 -286.9504 -32.0743 -35.5649 -527.4684 313s CAR -12.6722 -286.9504 58.1190 5.7393 6.6365 83.6180 313s DR -1.6729 -32.0743 5.7393 0.8339 0.5977 12.1938 313s GNP -3.3664 -35.5649 6.6365 0.5977 1.4175 13.0709 313s DEN 226.1952 -527.4684 83.6180 12.1938 13.0709 2041.5809 313s TB 0.4002 -1.1807 0.2701 0.0191 0.0058 -0.9346 313s TB 313s POP 0.4002 313s MOR -1.1807 313s CAR 0.2701 313s DR 0.0191 313s GNP 0.0058 313s DEN -0.9346 313s TB 0.0184 313s -------------------------------------------------------- 313s wages 39 10 19 22.994272 313s Best subsample: 313s [1] 1 2 6 7 8 9 10 11 12 13 14 15 17 18 19 25 26 27 28 313s Outliers: 9 313s [1] 4 5 6 24 28 30 32 33 34 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=19); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s HRS RATE ERSP ERNO NEIN ASSET AGE DEP 313s 2153.37 2.87 1129.16 297.53 360.58 6876.58 39.48 2.36 313s RACE SCHOOL 313s 38.88 10.17 313s 313s Robust Estimate of Covariance: 313s HRS RATE ERSP ERNO NEIN ASSET 313s HRS 6.12e+03 1.73e+01 -1.67e+03 -2.06e+03 9.10e+03 2.02e+05 313s RATE 1.73e+01 2.52e-01 2.14e+01 -3.54e+00 5.85e+01 1.37e+03 313s ERSP -1.67e+03 2.14e+01 1.97e+04 7.76e+01 -1.71e+03 -1.41e+04 313s ERNO -2.06e+03 -3.54e+00 7.76e+01 2.06e+03 -2.02e+03 -4.83e+04 313s NEIN 9.10e+03 5.85e+01 -1.71e+03 -2.02e+03 2.02e+04 4.54e+05 313s ASSET 2.02e+05 1.37e+03 -1.41e+04 -4.83e+04 4.54e+05 1.03e+07 313s AGE -6.29e+01 -2.61e-01 4.83e+00 2.44e+01 -1.08e+02 -2.46e+03 313s DEP -6.17e+00 -7.05e-02 -2.13e+01 2.29e+00 -1.30e+01 -3.16e+02 313s RACE -2.17e+03 -9.46e+00 7.19e+02 5.59e+02 -3.95e+03 -8.77e+04 313s SCHOOL 7.12e+01 5.87e-01 5.39e+01 -2.14e+01 1.63e+02 3.79e+03 313s AGE DEP RACE SCHOOL 313s HRS -6.29e+01 -6.17e+00 -2.17e+03 7.12e+01 313s RATE -2.61e-01 -7.05e-02 -9.46e+00 5.87e-01 313s ERSP 4.83e+00 -2.13e+01 7.19e+02 5.39e+01 313s ERNO 2.44e+01 2.29e+00 5.59e+02 -2.14e+01 313s NEIN -1.08e+02 -1.30e+01 -3.95e+03 1.63e+02 313s ASSET -2.46e+03 -3.16e+02 -8.77e+04 3.79e+03 313s AGE 1.01e+00 7.03e-02 2.39e+01 -9.52e-01 313s DEP 7.03e-02 4.62e-02 2.72e+00 -1.94e-01 313s RACE 2.39e+01 2.72e+00 8.74e+02 -3.09e+01 313s SCHOOL -9.52e-01 -1.94e-01 -3.09e+01 1.62e+00 313s -------------------------------------------------------- 313s airquality 153 4 58 18.213499 313s Best subsample: 313s [1] 3 22 24 25 28 29 32 33 35 36 37 38 39 40 41 42 43 44 46 313s [20] 47 48 49 50 52 56 57 58 59 60 64 66 67 68 69 71 72 73 74 313s [39] 76 78 80 82 83 84 86 87 89 90 91 92 93 94 95 97 98 105 109 313s [58] 110 313s Outliers: 14 313s [1] 8 9 15 18 20 21 23 24 28 30 48 62 117 148 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=58); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s Ozone Solar.R Wind Temp 313s 43.2 192.9 9.6 80.5 313s 313s Robust Estimate of Covariance: 313s Ozone Solar.R Wind Temp 313s Ozone 959.69 771.68 -60.92 198.38 313s Solar.R 771.68 7089.72 -1.72 95.75 313s Wind -60.92 -1.72 10.71 -11.96 313s Temp 198.38 95.75 -11.96 62.78 313s -------------------------------------------------------- 313s attitude 30 7 19 24.442803 313s Best subsample: 313s [1] 2 3 4 5 7 8 10 12 15 17 19 20 22 23 25 27 28 29 30 313s Outliers: 10 313s [1] 1 6 9 13 14 16 18 21 24 26 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=19); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s rating complaints privileges learning raises critical 313s 67.1 68.0 52.4 57.6 67.2 77.4 313s advance 313s 43.4 313s 313s Robust Estimate of Covariance: 313s rating complaints privileges learning raises critical advance 313s rating 169.34 127.83 40.48 110.26 91.71 -3.59 53.84 313s complaints 127.83 156.80 52.65 110.97 96.56 7.27 76.03 313s privileges 40.48 52.65 136.91 92.38 69.00 9.53 87.98 313s learning 110.26 110.97 92.38 157.77 112.92 6.74 75.51 313s raises 91.71 96.56 69.00 112.92 112.79 4.91 70.22 313s critical -3.59 7.27 9.53 6.74 4.91 52.25 15.00 313s advance 53.84 76.03 87.98 75.51 70.22 15.00 93.11 313s -------------------------------------------------------- 313s attenu 182 5 86 6.440834 313s Best subsample: 313s [1] 68 69 70 71 72 73 74 75 76 77 79 82 83 84 85 86 87 88 89 313s [20] 90 91 92 101 102 103 104 106 107 109 110 111 112 113 114 115 116 117 118 313s [39] 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 313s [58] 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 313s [77] 157 158 159 160 161 162 163 164 165 166 313s Outliers: 61 313s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 313s [20] 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 36 37 38 39 313s [39] 40 45 46 47 54 55 56 57 58 59 60 61 64 65 82 97 98 100 101 313s [58] 102 103 104 105 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=86); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s event mag station dist accel 313s 18.624 5.752 67.861 22.770 0.141 313s 313s Robust Estimate of Covariance: 313s event mag station dist accel 313s event 1.64e+01 -1.22e+00 5.59e+01 9.98e+00 -8.37e-02 313s mag -1.22e+00 4.13e-01 -3.19e+00 1.35e+00 1.22e-02 313s station 5.59e+01 -3.19e+00 1.03e+03 7.00e+01 5.56e-01 313s dist 9.98e+00 1.35e+00 7.00e+01 2.21e+02 -9.24e-01 313s accel -8.37e-02 1.22e-02 5.56e-01 -9.24e-01 9.62e-03 313s -------------------------------------------------------- 313s USJudgeRatings 43 12 28 -47.889993 313s Best subsample: 313s [1] 1 2 3 4 6 9 10 11 15 16 17 18 19 22 24 25 26 27 28 29 32 33 34 36 37 313s [26] 38 41 43 313s Outliers: 14 313s [1] 5 7 8 12 13 14 20 21 23 30 31 35 40 42 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=28); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s CONT INTG DMNR DILG CFMG DECI PREP FAMI ORAL WRIT PHYS RTEN 313s 7.40 8.19 7.80 7.96 7.74 7.82 7.74 7.73 7.57 7.63 8.25 7.94 313s 313s Robust Estimate of Covariance: 313s CONT INTG DMNR DILG CFMG DECI PREP FAMI ORAL 313s CONT 0.852 -0.266 -0.422 -0.155 -0.049 -0.074 -0.117 -0.119 -0.177 313s INTG -0.266 0.397 0.537 0.406 0.340 0.325 0.404 0.409 0.430 313s DMNR -0.422 0.537 0.824 0.524 0.458 0.437 0.520 0.504 0.569 313s DILG -0.155 0.406 0.524 0.486 0.426 0.409 0.506 0.515 0.511 313s CFMG -0.049 0.340 0.458 0.426 0.427 0.403 0.466 0.476 0.478 313s DECI -0.074 0.325 0.437 0.409 0.403 0.396 0.449 0.462 0.460 313s PREP -0.117 0.404 0.520 0.506 0.466 0.449 0.552 0.565 0.551 313s FAMI -0.119 0.409 0.504 0.515 0.476 0.462 0.565 0.594 0.571 313s ORAL -0.177 0.430 0.569 0.511 0.478 0.460 0.551 0.571 0.575 313s WRIT -0.159 0.427 0.549 0.515 0.480 0.461 0.556 0.580 0.574 313s PHYS -0.184 0.269 0.362 0.308 0.298 0.307 0.335 0.358 0.369 313s RTEN -0.260 0.472 0.642 0.519 0.467 0.455 0.539 0.554 0.573 313s WRIT PHYS RTEN 313s CONT -0.159 -0.184 -0.260 313s INTG 0.427 0.269 0.472 313s DMNR 0.549 0.362 0.642 313s DILG 0.515 0.308 0.519 313s CFMG 0.480 0.298 0.467 313s DECI 0.461 0.307 0.455 313s PREP 0.556 0.335 0.539 313s FAMI 0.580 0.358 0.554 313s ORAL 0.574 0.369 0.573 313s WRIT 0.580 0.365 0.567 313s PHYS 0.365 0.300 0.378 313s RTEN 0.567 0.378 0.615 313s -------------------------------------------------------- 313s USArrests 50 4 27 15.391648 313s Best subsample: 313s [1] 4 7 9 12 13 14 15 16 19 21 23 26 27 29 30 32 34 35 36 38 41 42 43 45 46 313s [26] 49 50 313s Outliers: 11 313s [1] 2 3 5 6 10 18 24 28 33 37 47 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=27); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s Murder Assault UrbanPop Rape 313s 6.71 145.42 65.06 17.88 313s 313s Robust Estimate of Covariance: 313s Murder Assault UrbanPop Rape 313s Murder 16.1 269.3 20.3 25.2 313s Assault 269.3 6613.0 567.8 453.7 313s UrbanPop 20.3 567.8 225.4 47.7 313s Rape 25.2 453.7 47.7 50.9 313s -------------------------------------------------------- 313s longley 16 7 12 12.747678 313s Best subsample: 313s [1] 5 6 7 8 9 10 11 12 13 14 15 16 313s Outliers: 4 313s [1] 1 2 3 4 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=12); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s GNP.deflator GNP Unemployed Armed.Forces Population 313s 106.5 430.6 328.2 295.0 120.2 313s Year Employed 313s 1956.5 66.9 313s 313s Robust Estimate of Covariance: 313s GNP.deflator GNP Unemployed Armed.Forces Population 313s GNP.deflator 108.5 1039.9 1231.9 -465.6 81.4 313s GNP 1039.9 10300.0 11161.6 -4277.6 803.4 313s Unemployed 1231.9 11161.6 19799.4 -5805.6 929.1 313s Armed.Forces -465.6 -4277.6 -5805.6 2805.5 -327.4 313s Population 81.4 803.4 929.1 -327.4 63.5 313s Year 51.6 504.3 595.6 -216.7 39.7 313s Employed 34.2 344.1 323.6 -149.5 26.2 313s Year Employed 313s GNP.deflator 51.6 34.2 313s GNP 504.3 344.1 313s Unemployed 595.6 323.6 313s Armed.Forces -216.7 -149.5 313s Population 39.7 26.2 313s Year 25.1 16.7 313s Employed 16.7 12.4 313s -------------------------------------------------------- 313s Loblolly 84 3 44 4.898174 313s Best subsample: 313s [1] 1 2 4 7 8 10 13 14 19 20 21 25 26 28 31 32 33 34 37 38 39 40 43 44 45 313s [26] 46 49 50 51 55 56 58 61 62 64 67 68 69 73 74 75 79 80 81 313s Outliers: 31 313s [1] 5 6 11 12 15 17 18 23 24 29 30 35 36 41 42 47 48 53 54 59 60 65 66 70 71 313s [26] 72 76 77 78 83 84 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=44); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s height age Seed 313s 20.44 8.19 7.72 313s 313s Robust Estimate of Covariance: 313s height age Seed 313s height 247.8 79.5 11.9 313s age 79.5 25.7 3.0 313s Seed 11.9 3.0 17.1 313s -------------------------------------------------------- 313s quakes 1000 4 502 8.274369 313s Best subsample: 313s Too long... 313s Outliers: 265 313s Too many to print ... 313s ------------- 313s 313s Call: 313s CovMcd(x = x, trace = FALSE) 313s -> Method: Fast MCD(alpha=0.5 ==> h=502); nsamp = 500; (n,k)mini = (300,5) 313s 313s Robust Estimate of Location: 313s lat long depth mag 313s -21.31 182.48 361.35 4.54 313s 313s Robust Estimate of Covariance: 313s lat long depth mag 313s lat 1.47e+01 3.53e+00 1.34e+02 -2.52e-01 313s long 3.53e+00 4.55e+00 -3.63e+02 4.36e-02 313s depth 1.34e+02 -3.63e+02 4.84e+04 -1.29e+01 313s mag -2.52e-01 4.36e-02 -1.29e+01 1.38e-01 313s -------------------------------------------------------- 313s ======================================================== 313s > dodata(method="deterministic") 313s 313s Call: dodata(method = "deterministic") 313s Data Set n p Half LOG(obj) Time 313s ======================================================== 313s heart 12 2 7 5.678742 313s Best subsample: 313s [1] 1 3 4 5 7 9 11 313s Outliers: 0 313s Too many to print ... 313s ------------- 313s 313s Call: 313s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 313s -> Method: Deterministic MCD(alpha=0.5 ==> h=7) 313s 313s Robust Estimate of Location: 313s height weight 313s 38.3 33.1 313s 313s Robust Estimate of Covariance: 313s height weight 313s height 135 259 313s weight 259 564 313s -------------------------------------------------------- 313s starsCYG 47 2 25 -8.028718 313s Best subsample: 313s [1] 1 6 10 12 13 16 23 24 25 26 28 31 32 33 37 38 39 40 41 42 43 44 45 46 47 313s Outliers: 7 313s [1] 7 9 11 14 20 30 34 313s ------------- 313s 313s Call: 313s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 313s -> Method: Deterministic MCD(alpha=0.5 ==> h=25) 313s 313s Robust Estimate of Location: 313s log.Te log.light 313s 4.41 4.95 313s 313s Robust Estimate of Covariance: 313s log.Te log.light 313s log.Te 0.0132 0.0394 313s log.light 0.0394 0.2743 313s -------------------------------------------------------- 313s phosphor 18 2 10 7.732906 313s Best subsample: 313s [1] 2 4 5 7 8 9 11 12 14 16 313s Outliers: 1 313s [1] 6 313s ------------- 313s 313s Call: 313s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 313s -> Method: Deterministic MCD(alpha=0.5 ==> h=10) 313s 313s Robust Estimate of Location: 313s inorg organic 313s 12.5 40.8 313s 313s Robust Estimate of Covariance: 313s inorg organic 313s inorg 124 101 313s organic 101 197 313s -------------------------------------------------------- 313s stackloss 21 3 12 6.577286 313s Best subsample: 313s [1] 4 5 6 7 8 9 11 13 16 18 19 20 313s Outliers: 2 313s [1] 1 2 313s ------------- 313s 313s Call: 313s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 313s -> Method: Deterministic MCD(alpha=0.5 ==> h=12) 313s 313s Robust Estimate of Location: 313s Air.Flow Water.Temp Acid.Conc. 313s 58.4 20.5 86.1 313s 313s Robust Estimate of Covariance: 313s Air.Flow Water.Temp Acid.Conc. 313s Air.Flow 56.28 13.33 26.68 313s Water.Temp 13.33 8.28 6.98 313s Acid.Conc. 26.68 6.98 37.97 313s -------------------------------------------------------- 313s coleman 20 5 13 2.149184 313s Best subsample: 313s [1] 3 4 5 7 8 12 13 14 16 17 18 19 20 313s Outliers: 2 313s [1] 6 10 313s ------------- 313s 313s Call: 313s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 313s -> Method: Deterministic MCD(alpha=0.5 ==> h=13) 313s 313s Robust Estimate of Location: 313s salaryP fatherWc sstatus teacherSc motherLev 313s 2.76 41.08 2.76 25.01 6.27 313s 313s Robust Estimate of Covariance: 313s salaryP fatherWc sstatus teacherSc motherLev 313s salaryP 0.391 2.956 2.146 0.447 0.110 313s fatherWc 2.956 1358.640 442.724 12.235 32.842 313s sstatus 2.146 442.724 205.590 6.464 11.382 313s teacherSc 0.447 12.235 6.464 1.179 0.510 313s motherLev 0.110 32.842 11.382 0.510 0.919 313s -------------------------------------------------------- 313s salinity 28 3 16 1.940763 313s Best subsample: 313s [1] 1 8 10 12 13 14 15 17 18 20 21 22 25 26 27 28 313s Outliers: 2 313s [1] 5 16 313s ------------- 313s 313s Call: 313s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 313s -> Method: Deterministic MCD(alpha=0.5 ==> h=16) 313s 313s Robust Estimate of Location: 313s X1 X2 X3 313s 10.50 2.58 23.12 313s 313s Robust Estimate of Covariance: 313s X1 X2 X3 313s X1 10.90243 -0.00457 -1.46156 313s X2 -0.00457 3.85051 -1.94604 313s X3 -1.46156 -1.94604 3.21424 313s -------------------------------------------------------- 313s wood 20 5 13 -35.240819 313s Best subsample: 313s [1] 1 2 3 5 9 11 12 13 14 15 17 18 20 313s Outliers: 4 313s [1] 4 6 8 19 313s ------------- 313s 313s Call: 313s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 313s -> Method: Deterministic MCD(alpha=0.5 ==> h=13) 313s 313s Robust Estimate of Location: 313s x1 x2 x3 x4 x5 313s 0.582 0.125 0.530 0.534 0.888 313s 313s Robust Estimate of Covariance: 313s x1 x2 x3 x4 x5 313s x1 1.05e-02 1.81e-03 2.08e-03 -6.41e-04 -9.61e-04 313s x2 1.81e-03 5.55e-04 8.76e-04 -2.03e-04 -4.70e-05 313s x3 2.08e-03 8.76e-04 5.60e-03 -1.11e-03 -1.26e-05 313s x4 -6.41e-04 -2.03e-04 -1.11e-03 4.27e-03 2.60e-03 313s x5 -9.61e-04 -4.70e-05 -1.26e-05 2.60e-03 2.95e-03 313s -------------------------------------------------------- 313s hbk 75 3 39 -1.045501 313s Best subsample: 313s [1] 15 17 18 19 20 21 22 23 24 26 27 28 29 32 33 35 36 38 40 41 43 48 49 50 51 313s [26] 54 55 56 58 59 63 64 66 67 70 71 72 73 74 313s Outliers: 14 313s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 313s ------------- 313s 313s Call: 313s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 313s -> Method: Deterministic MCD(alpha=0.5 ==> h=39) 313s 313s Robust Estimate of Location: 313s X1 X2 X3 313s 1.54 1.78 1.69 313s 313s Robust Estimate of Covariance: 313s X1 X2 X3 313s X1 1.227 0.055 0.127 313s X2 0.055 1.249 0.153 313s X3 0.127 0.153 1.160 313s -------------------------------------------------------- 313s Animals 28 2 15 14.555543 313s Best subsample: 313s [1] 1 3 4 5 10 11 17 18 19 20 21 22 23 26 27 313s Outliers: 14 313s [1] 2 6 7 8 9 12 13 14 15 16 23 24 25 28 313s ------------- 313s 313s Call: 313s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 313s -> Method: Deterministic MCD(alpha=0.5 ==> h=15) 313s 313s Robust Estimate of Location: 313s body brain 313s 18.7 64.9 313s 313s Robust Estimate of Covariance: 313s body brain 313s body 929 1576 313s brain 1576 5646 313s -------------------------------------------------------- 313s bushfire 38 5 22 18.135810 313s Best subsample: 313s [1] 1 2 3 4 5 6 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 313s Outliers: 16 313s [1] 7 8 9 10 11 12 29 30 31 32 33 34 35 36 37 38 313s ------------- 313s 313s Call: 313s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 313s -> Method: Deterministic MCD(alpha=0.5 ==> h=22) 313s 313s Robust Estimate of Location: 313s V1 V2 V3 V4 V5 313s 105 147 274 218 279 313s 313s Robust Estimate of Covariance: 313s V1 V2 V3 V4 V5 313s V1 346 268 -1692 -381 -311 313s V2 268 236 -1125 -230 -194 313s V3 -1692 -1125 9993 2455 1951 313s V4 -381 -230 2455 647 505 313s V5 -311 -194 1951 505 398 313s -------------------------------------------------------- 313s lactic 20 2 11 0.359580 313s Best subsample: 313s [1] 1 2 3 4 5 7 8 9 10 11 12 313s Outliers: 4 313s [1] 17 18 19 20 313s ------------- 313s 313s Call: 313s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 313s -> Method: Deterministic MCD(alpha=0.5 ==> h=11) 313s 313s Robust Estimate of Location: 313s X Y 313s 3.86 5.01 313s 313s Robust Estimate of Covariance: 313s X Y 313s X 10.6 14.6 313s Y 14.6 21.3 313s -------------------------------------------------------- 313s pension 18 2 10 16.675508 313s Best subsample: 313s [1] 1 2 3 4 5 6 8 9 11 12 313s Outliers: 5 313s [1] 14 15 16 17 18 313s ------------- 313s 313s Call: 313s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 313s -> Method: Deterministic MCD(alpha=0.5 ==> h=10) 313s 313s Robust Estimate of Location: 313s Income Reserves 313s 52.3 560.9 313s 313s Robust Estimate of Covariance: 313s Income Reserves 313s Income 1420 11932 313s Reserves 11932 208643 313s -------------------------------------------------------- 313s radarImage 1573 5 789 36.694865 313s Best subsample: 313s Too long... 313s Outliers: 114 313s [1] 164 237 238 242 261 262 351 450 451 462 463 480 481 509 516 313s [16] 535 542 572 597 620 643 654 669 679 697 737 802 803 804 818 313s [31] 832 833 834 862 863 864 892 900 939 989 1029 1064 1123 1132 1145 313s [46] 1202 1223 1224 1232 1233 1249 1250 1258 1259 1267 1303 1347 1357 1368 1375 313s [61] 1376 1393 1394 1402 1411 1417 1419 1420 1428 1436 1443 1444 1453 1470 1504 313s [76] 1510 1511 1512 1518 1519 1520 1521 1522 1525 1526 1527 1528 1530 1532 1534 313s [91] 1543 1544 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1557 1558 1561 313s [106] 1562 1564 1565 1566 1567 1569 1570 1571 1573 313s ------------- 313s 313s Call: 313s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 313s -> Method: Deterministic MCD(alpha=0.5 ==> h=789) 313s 313s Robust Estimate of Location: 313s X.coord Y.coord Band.1 Band.2 Band.3 313s 52.78 35.37 7.12 18.81 9.09 313s 313s Robust Estimate of Covariance: 313s X.coord Y.coord Band.1 Band.2 Band.3 313s X.coord 123.2 21.5 -363.9 -200.1 -24.3 313s Y.coord 21.5 410.7 46.5 -177.3 -33.4 313s Band.1 -363.9 46.5 27051.1 8138.9 469.3 313s Band.2 -200.1 -177.3 8138.9 25938.0 946.2 313s Band.3 -24.3 -33.4 469.3 946.2 4470.1 313s -------------------------------------------------------- 314s NOxEmissions 8088 4 4046 2.474536 314s Best subsample: 314s Too long... 314s Outliers: 2152 314s Too many to print ... 314s ------------- 314s 314s Call: 314s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 314s -> Method: Deterministic MCD(alpha=0.5 ==> h=4046) 314s 314s Robust Estimate of Location: 314s julday LNOx LNOxEm sqrtWS 314s 168.20 4.73 7.91 1.37 314s 314s Robust Estimate of Covariance: 314s julday LNOx LNOxEm sqrtWS 314s julday 9176.2934 12.0355 0.7022 -10.1387 314s LNOx 12.0355 0.4736 0.1430 -0.1528 314s LNOxEm 0.7022 0.1430 0.2527 0.0436 314s sqrtWS -10.1387 -0.1528 0.0436 0.2074 314s -------------------------------------------------------- 314s vaso 39 2 21 -3.972244 314s Best subsample: 314s [1] 3 4 8 14 18 19 20 21 22 23 24 25 26 27 28 33 34 35 37 38 39 314s Outliers: 4 314s [1] 1 2 17 31 314s ------------- 314s 314s Call: 314s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 314s -> Method: Deterministic MCD(alpha=0.5 ==> h=21) 314s 314s Robust Estimate of Location: 314s Volume Rate 314s 1.16 1.72 314s 314s Robust Estimate of Covariance: 314s Volume Rate 314s Volume 0.313 -0.167 314s Rate -0.167 0.728 314s -------------------------------------------------------- 314s wagnerGrowth 63 6 35 6.511864 314s Best subsample: 314s [1] 2 3 4 5 6 7 9 10 11 12 13 16 17 18 20 23 25 27 31 32 35 36 38 41 44 314s [26] 48 51 52 53 54 55 56 57 60 62 314s Outliers: 15 314s [1] 1 8 15 21 22 28 29 33 39 42 43 46 49 50 63 314s ------------- 314s 314s Call: 314s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 314s -> Method: Deterministic MCD(alpha=0.5 ==> h=35) 314s 314s Robust Estimate of Location: 314s Region PA GPA HS GHS y 314s 10.91 33.65 -2.05 2.43 0.31 6.98 314s 314s Robust Estimate of Covariance: 314s Region PA GPA HS GHS y 314s Region 35.1365 17.7291 -1.4003 -0.6554 -0.4728 -14.9305 314s PA 17.7291 28.4297 -5.5245 -1.2444 -0.0452 -29.6181 314s GPA -1.4003 -5.5245 5.2170 0.3954 -0.2152 3.8252 314s HS -0.6554 -1.2444 0.3954 0.7273 -0.0107 2.1514 314s GHS -0.4728 -0.0452 -0.2152 -0.0107 0.1728 0.8440 314s y -14.9305 -29.6181 3.8252 2.1514 0.8440 79.0511 314s -------------------------------------------------------- 314s fish 159 6 82 8.880459 314s Best subsample: 314s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 314s [20] 20 21 22 23 24 25 26 27 35 36 37 42 43 44 45 46 47 48 49 314s [39] 50 51 52 53 54 55 56 57 58 59 60 106 107 108 109 110 111 112 113 314s [58] 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 314s [77] 134 135 136 137 138 139 314s Outliers: 64 314s [1] 30 39 40 41 62 63 64 65 66 68 69 70 73 74 75 76 77 78 79 314s [20] 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 314s [39] 99 100 101 102 103 104 105 141 142 143 144 145 146 147 148 149 150 151 152 314s [58] 153 154 155 156 157 158 159 314s ------------- 314s 314s Call: 314s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 314s -> Method: Deterministic MCD(alpha=0.5 ==> h=82) 314s 314s Robust Estimate of Location: 314s Weight Length1 Length2 Length3 Height Width 314s 316.3 24.1 26.3 29.3 31.0 14.7 314s 314s Robust Estimate of Covariance: 314s Weight Length1 Length2 Length3 Height Width 314s Weight 64662.19 1412.34 1541.95 1917.21 1420.83 -61.15 314s Length1 1412.34 34.14 37.04 45.07 29.25 -1.26 314s Length2 1541.95 37.04 40.26 49.04 32.21 -1.34 314s Length3 1917.21 45.07 49.04 60.82 43.03 -2.15 314s Height 1420.83 29.25 32.21 43.03 46.50 -2.66 314s Width -61.15 -1.26 -1.34 -2.15 -2.66 1.02 314s -------------------------------------------------------- 314s pottery 27 6 17 -10.586933 314s Best subsample: 314s [1] 1 2 4 5 6 9 10 11 13 14 15 19 20 21 22 26 27 314s Outliers: 9 314s [1] 3 8 12 16 17 18 23 24 25 314s ------------- 314s 314s Call: 314s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 314s -> Method: Deterministic MCD(alpha=0.5 ==> h=17) 314s 314s Robust Estimate of Location: 314s SI AL FE MG CA TI 314s 54.983 15.206 9.700 3.817 5.211 0.859 314s 314s Robust Estimate of Covariance: 314s SI AL FE MG CA TI 314s SI 20.58227 2.28743 -0.02039 2.12648 -1.80227 0.08821 314s AL 2.28743 4.03605 -0.63021 -2.49966 0.20842 -0.02038 314s FE -0.02039 -0.63021 0.27803 0.53382 -0.35125 0.01427 314s MG 2.12648 -2.49966 0.53382 2.79561 -0.15786 0.02847 314s CA -1.80227 0.20842 -0.35125 -0.15786 1.23240 -0.03465 314s TI 0.08821 -0.02038 0.01427 0.02847 -0.03465 0.00175 314s -------------------------------------------------------- 314s rice 105 6 56 -14.423048 314s Best subsample: 314s [1] 4 6 8 10 13 15 16 17 18 25 27 29 30 31 32 33 34 36 37 314s [20] 38 44 45 47 51 52 53 55 59 60 65 66 67 70 72 74 76 78 79 314s [39] 80 81 82 83 84 85 86 90 92 93 94 95 97 98 99 100 101 105 314s Outliers: 13 314s [1] 9 19 28 40 42 43 49 58 62 64 71 75 77 314s ------------- 314s 314s Call: 314s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 314s -> Method: Deterministic MCD(alpha=0.5 ==> h=56) 314s 314s Robust Estimate of Location: 314s Favor Appearance Taste Stickiness 314s -0.2950 0.0799 -0.1555 0.0363 314s Toughness Overall_evaluation 314s 0.0530 -0.2284 314s 314s Robust Estimate of Covariance: 314s Favor Appearance Taste Stickiness Toughness 314s Favor 0.466 0.389 0.471 0.447 -0.198 314s Appearance 0.389 0.610 0.592 0.570 -0.293 314s Taste 0.471 0.592 0.760 0.718 -0.356 314s Stickiness 0.447 0.570 0.718 0.820 -0.419 314s Toughness -0.198 -0.293 -0.356 -0.419 0.400 314s Overall_evaluation 0.557 0.669 0.838 0.846 -0.425 314s Overall_evaluation 314s Favor 0.557 314s Appearance 0.669 314s Taste 0.838 314s Stickiness 0.846 314s Toughness -0.425 314s Overall_evaluation 0.987 314s -------------------------------------------------------- 314s un86 73 7 40 17.117142 314s Best subsample: 314s [1] 2 9 10 12 14 16 17 18 19 20 23 24 25 26 27 31 32 33 37 39 42 48 49 50 51 314s [26] 52 55 56 57 60 61 62 63 64 65 67 70 71 72 73 314s Outliers: 30 314s [1] 3 4 5 6 7 8 11 13 15 21 22 28 29 30 35 36 38 40 41 43 44 45 46 53 54 314s [26] 58 59 66 68 69 314s ------------- 314s 314s Call: 314s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 314s -> Method: Deterministic MCD(alpha=0.5 ==> h=40) 314s 314s Robust Estimate of Location: 314s POP MOR CAR DR GNP DEN TB 314s 17.036 68.512 6.444 0.877 1.134 64.140 0.433 314s 314s Robust Estimate of Covariance: 314s POP MOR CAR DR GNP DEN 314s POP 3.61e+02 1.95e+02 -6.28e+00 -1.91e-02 -2.07e+00 5.79e+01 314s MOR 1.95e+02 2.39e+03 -2.79e+02 -3.37e+01 -3.39e+01 -9.21e+02 314s CAR -6.28e+00 -2.79e+02 5.76e+01 5.77e+00 6.59e+00 7.81e+01 314s DR -1.91e-02 -3.37e+01 5.77e+00 9.07e-01 5.66e-01 1.69e+01 314s GNP -2.07e+00 -3.39e+01 6.59e+00 5.66e-01 1.42e+00 9.28e+00 314s DEN 5.79e+01 -9.21e+02 7.81e+01 1.69e+01 9.28e+00 3.53e+03 314s TB -6.09e-02 -9.93e-01 2.50e-01 1.98e-02 6.82e-03 -9.75e-01 314s TB 314s POP -6.09e-02 314s MOR -9.93e-01 314s CAR 2.50e-01 314s DR 1.98e-02 314s GNP 6.82e-03 314s DEN -9.75e-01 314s TB 1.64e-02 314s -------------------------------------------------------- 314s wages 39 10 19 23.119456 314s Best subsample: 314s [1] 1 2 5 6 7 9 10 11 12 13 14 15 19 21 23 25 26 27 28 314s Outliers: 9 314s [1] 4 5 9 24 25 26 28 32 34 314s ------------- 314s 314s Call: 314s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 314s -> Method: Deterministic MCD(alpha=0.5 ==> h=19) 314s 314s Robust Estimate of Location: 314s HRS RATE ERSP ERNO NEIN ASSET AGE DEP 314s 2161.89 2.95 1114.21 297.68 374.00 7269.37 39.13 2.43 314s RACE SCHOOL 314s 36.13 10.39 314s 314s Robust Estimate of Covariance: 314s HRS RATE ERSP ERNO NEIN ASSET 314s HRS 3.53e+03 8.31e+00 -5.96e+03 -6.43e+02 5.15e+03 1.12e+05 314s RATE 8.31e+00 1.78e-01 8.19e+00 2.70e+00 3.90e+01 8.94e+02 314s ERSP -5.96e+03 8.19e+00 1.90e+04 1.13e+03 -4.73e+03 -9.49e+04 314s ERNO -6.43e+02 2.70e+00 1.13e+03 1.80e+03 -3.56e+02 -7.33e+03 314s NEIN 5.15e+03 3.90e+01 -4.73e+03 -3.56e+02 1.38e+04 3.00e+05 314s ASSET 1.12e+05 8.94e+02 -9.49e+04 -7.33e+03 3.00e+05 6.62e+06 314s AGE -3.33e+01 -6.55e-02 8.33e+01 1.50e+00 -3.28e+01 -7.55e+02 314s DEP 4.50e+00 -4.01e-02 -2.77e+01 1.31e+00 -8.09e+00 -1.61e+02 314s RACE -1.30e+03 -6.06e+00 1.80e+03 1.48e+02 -2.58e+03 -5.59e+04 314s SCHOOL 3.01e+01 3.58e-01 -5.57e+00 2.84e+00 9.26e+01 2.10e+03 314s AGE DEP RACE SCHOOL 314s HRS -3.33e+01 4.50e+00 -1.30e+03 3.01e+01 314s RATE -6.55e-02 -4.01e-02 -6.06e+00 3.58e-01 314s ERSP 8.33e+01 -2.77e+01 1.80e+03 -5.57e+00 314s ERNO 1.50e+00 1.31e+00 1.48e+02 2.84e+00 314s NEIN -3.28e+01 -8.09e+00 -2.58e+03 9.26e+01 314s ASSET -7.55e+02 -1.61e+02 -5.59e+04 2.10e+03 314s AGE 6.57e-01 -1.64e-01 1.13e+01 -2.67e-01 314s DEP -1.64e-01 9.20e-02 2.38e-01 -6.01e-02 314s RACE 1.13e+01 2.38e-01 5.73e+02 -1.67e+01 314s SCHOOL -2.67e-01 -6.01e-02 -1.67e+01 7.95e-01 314s -------------------------------------------------------- 314s airquality 153 4 58 18.316848 314s Best subsample: 314s [1] 2 3 8 10 24 25 28 32 33 35 36 37 38 39 40 41 42 43 46 314s [20] 47 48 49 50 52 54 56 57 58 59 60 66 67 69 71 72 73 76 78 314s [39] 81 82 84 86 87 89 90 91 92 95 97 98 100 101 105 106 108 109 110 314s [58] 111 314s Outliers: 10 314s [1] 8 9 15 18 24 30 48 62 117 148 314s ------------- 314s 314s Call: 314s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 314s -> Method: Deterministic MCD(alpha=0.5 ==> h=58) 314s 314s Robust Estimate of Location: 314s Ozone Solar.R Wind Temp 314s 40.80 189.37 9.66 78.81 314s 314s Robust Estimate of Covariance: 314s Ozone Solar.R Wind Temp 314s Ozone 935.54 857.76 -56.30 220.48 314s Solar.R 857.76 8507.83 1.36 155.13 314s Wind -56.30 1.36 9.90 -11.61 314s Temp 220.48 155.13 -11.61 84.00 314s -------------------------------------------------------- 314s attitude 30 7 19 24.464288 314s Best subsample: 314s [1] 2 3 4 5 7 8 10 11 12 15 17 19 21 22 23 25 27 28 29 314s Outliers: 8 314s [1] 6 9 13 14 16 18 24 26 314s ------------- 314s 314s Call: 314s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 314s -> Method: Deterministic MCD(alpha=0.5 ==> h=19) 314s 314s Robust Estimate of Location: 314s rating complaints privileges learning raises critical 314s 64.4 65.2 51.0 55.5 65.9 77.4 314s advance 314s 43.2 314s 314s Robust Estimate of Covariance: 314s rating complaints privileges learning raises critical advance 314s rating 199.95 162.36 115.83 160.44 128.87 -13.55 66.20 314s complaints 162.36 204.84 130.33 170.66 150.19 16.28 96.66 314s privileges 115.83 130.33 181.31 152.63 106.56 4.52 91.44 314s learning 160.44 170.66 152.63 213.06 156.57 9.92 88.31 314s raises 128.87 150.19 106.56 156.57 152.05 23.10 84.00 314s critical -13.55 16.28 4.52 9.92 23.10 80.22 27.15 314s advance 66.20 96.66 91.44 88.31 84.00 27.15 95.51 314s -------------------------------------------------------- 314s attenu 182 5 86 6.593068 314s Best subsample: 314s [1] 41 42 43 44 48 49 51 68 70 72 73 74 75 76 77 82 83 84 85 314s [20] 86 87 88 89 90 91 92 101 102 103 104 106 107 109 110 111 112 113 114 314s [39] 115 116 117 119 120 121 122 124 125 126 127 128 129 130 131 132 133 134 135 314s [58] 136 137 138 139 140 141 144 145 146 147 148 149 150 151 152 153 154 155 156 314s [77] 157 158 159 160 161 162 163 164 165 166 314s Outliers: 49 314s [1] 1 2 4 5 6 7 8 9 10 11 12 13 14 15 16 19 20 21 22 314s [20] 23 24 25 27 28 29 30 31 32 33 40 45 47 59 60 61 64 65 78 314s [39] 82 83 97 98 100 101 102 103 104 105 117 314s ------------- 314s 314s Call: 314s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 314s -> Method: Deterministic MCD(alpha=0.5 ==> h=86) 314s 314s Robust Estimate of Location: 314s event mag station dist accel 314s 17.122 5.798 63.461 25.015 0.131 314s 314s Robust Estimate of Covariance: 314s event mag station dist accel 314s event 2.98e+01 -1.58e+00 9.49e+01 -8.36e+00 -3.59e-02 314s mag -1.58e+00 4.26e-01 -3.88e+00 3.13e+00 5.30e-03 314s station 9.49e+01 -3.88e+00 1.10e+03 2.60e+01 5.38e-01 314s dist -8.36e+00 3.13e+00 2.60e+01 2.66e+02 -9.23e-01 314s accel -3.59e-02 5.30e-03 5.38e-01 -9.23e-01 7.78e-03 314s -------------------------------------------------------- 314s USJudgeRatings 43 12 28 -47.886937 314s Best subsample: 314s [1] 2 3 4 6 9 10 11 15 16 18 19 22 24 25 26 27 28 29 30 32 33 34 36 37 38 314s [26] 40 41 43 314s Outliers: 14 314s [1] 1 5 7 8 12 13 14 17 20 21 23 31 35 42 314s ------------- 314s 314s Call: 314s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 314s -> Method: Deterministic MCD(alpha=0.5 ==> h=28) 314s 314s Robust Estimate of Location: 314s CONT INTG DMNR DILG CFMG DECI PREP FAMI ORAL WRIT PHYS RTEN 314s 7.46 8.26 7.88 8.06 7.85 7.92 7.84 7.83 7.67 7.74 8.31 8.03 314s 314s Robust Estimate of Covariance: 314s CONT INTG DMNR DILG CFMG DECI PREP FAMI 314s CONT 0.7363 -0.2916 -0.4193 -0.1943 -0.0555 -0.0690 -0.1703 -0.1727 314s INTG -0.2916 0.4179 0.5511 0.4167 0.3176 0.3102 0.4247 0.4279 314s DMNR -0.4193 0.5511 0.8141 0.5256 0.4092 0.3934 0.5294 0.5094 314s DILG -0.1943 0.4167 0.5256 0.4820 0.3904 0.3819 0.5054 0.5104 314s CFMG -0.0555 0.3176 0.4092 0.3904 0.3595 0.3368 0.4180 0.4206 314s DECI -0.0690 0.3102 0.3934 0.3819 0.3368 0.3310 0.4135 0.4194 314s PREP -0.1703 0.4247 0.5294 0.5054 0.4180 0.4135 0.5647 0.5752 314s FAMI -0.1727 0.4279 0.5094 0.5104 0.4206 0.4194 0.5752 0.6019 314s ORAL -0.2109 0.4453 0.5646 0.5054 0.4200 0.4121 0.5575 0.5735 314s WRIT -0.2033 0.4411 0.5466 0.5087 0.4222 0.4147 0.5592 0.5787 314s PHYS -0.1624 0.2578 0.3163 0.2833 0.2268 0.2362 0.3108 0.3284 314s RTEN -0.2622 0.4872 0.6324 0.5203 0.4145 0.4081 0.5488 0.5595 314s ORAL WRIT PHYS RTEN 314s CONT -0.2109 -0.2033 -0.1624 -0.2622 314s INTG 0.4453 0.4411 0.2578 0.4872 314s DMNR 0.5646 0.5466 0.3163 0.6324 314s DILG 0.5054 0.5087 0.2833 0.5203 314s CFMG 0.4200 0.4222 0.2268 0.4145 314s DECI 0.4121 0.4147 0.2362 0.4081 314s PREP 0.5575 0.5592 0.3108 0.5488 314s FAMI 0.5735 0.5787 0.3284 0.5595 314s ORAL 0.5701 0.5677 0.3283 0.5688 314s WRIT 0.5677 0.5715 0.3268 0.5645 314s PHYS 0.3283 0.3268 0.2302 0.3308 314s RTEN 0.5688 0.5645 0.3308 0.6057 314s -------------------------------------------------------- 314s USArrests 50 4 27 15.438912 314s Best subsample: 314s [1] 4 7 12 13 14 15 16 19 21 23 25 26 27 29 30 32 34 35 36 38 41 43 45 46 48 314s [26] 49 50 314s Outliers: 7 314s [1] 2 5 6 10 24 28 33 314s ------------- 314s 314s Call: 314s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 314s -> Method: Deterministic MCD(alpha=0.5 ==> h=27) 314s 314s Robust Estimate of Location: 314s Murder Assault UrbanPop Rape 314s 6.91 150.10 65.88 18.75 314s 314s Robust Estimate of Covariance: 314s Murder Assault UrbanPop Rape 314s Murder 17.9 285.4 17.6 25.0 314s Assault 285.4 6572.8 524.9 465.0 314s UrbanPop 17.6 524.9 211.9 50.5 314s Rape 25.0 465.0 50.5 56.4 314s -------------------------------------------------------- 314s longley 16 7 12 12.747678 314s Best subsample: 314s [1] 5 6 7 8 9 10 11 12 13 14 15 16 314s Outliers: 4 314s [1] 1 2 3 4 314s ------------- 314s 314s Call: 314s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 314s -> Method: Deterministic MCD(alpha=0.5 ==> h=12) 314s 314s Robust Estimate of Location: 314s GNP.deflator GNP Unemployed Armed.Forces Population 314s 106.5 430.6 328.2 295.0 120.2 314s Year Employed 314s 1956.5 66.9 314s 314s Robust Estimate of Covariance: 314s GNP.deflator GNP Unemployed Armed.Forces Population 314s GNP.deflator 108.5 1039.9 1231.9 -465.6 81.4 314s GNP 1039.9 10300.0 11161.6 -4277.6 803.4 314s Unemployed 1231.9 11161.6 19799.4 -5805.6 929.1 314s Armed.Forces -465.6 -4277.6 -5805.6 2805.5 -327.4 314s Population 81.4 803.4 929.1 -327.4 63.5 314s Year 51.6 504.3 595.6 -216.7 39.7 314s Employed 34.2 344.1 323.6 -149.5 26.2 314s Year Employed 314s GNP.deflator 51.6 34.2 314s GNP 504.3 344.1 314s Unemployed 595.6 323.6 314s Armed.Forces -216.7 -149.5 314s Population 39.7 26.2 314s Year 25.1 16.7 314s Employed 16.7 12.4 314s -------------------------------------------------------- 314s Loblolly 84 3 44 4.898174 314s Best subsample: 314s [1] 1 2 4 7 8 10 13 14 19 20 21 25 26 28 31 32 33 34 37 38 39 40 43 44 45 314s [26] 46 49 50 51 55 56 58 61 62 64 67 68 69 73 74 75 79 80 81 314s Outliers: 31 314s [1] 5 6 11 12 15 17 18 23 24 29 30 35 36 41 42 47 48 53 54 59 60 65 66 70 71 314s [26] 72 76 77 78 83 84 314s ------------- 314s 314s Call: 314s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 314s -> Method: Deterministic MCD(alpha=0.5 ==> h=44) 314s 314s Robust Estimate of Location: 314s height age Seed 314s 20.44 8.19 7.72 314s 314s Robust Estimate of Covariance: 314s height age Seed 314s height 247.8 79.5 11.9 314s age 79.5 25.7 3.0 314s Seed 11.9 3.0 17.1 314s -------------------------------------------------------- 314s quakes 1000 4 502 8.274209 314s Best subsample: 314s Too long... 314s Outliers: 266 314s Too many to print ... 314s ------------- 314s 314s Call: 314s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 314s -> Method: Deterministic MCD(alpha=0.5 ==> h=502) 314s 314s Robust Estimate of Location: 314s lat long depth mag 314s -21.34 182.47 360.58 4.54 314s 314s Robust Estimate of Covariance: 314s lat long depth mag 314s lat 1.50e+01 3.58e+00 1.37e+02 -2.66e-01 314s long 3.58e+00 4.55e+00 -3.61e+02 4.64e-02 314s depth 1.37e+02 -3.61e+02 4.84e+04 -1.36e+01 314s mag -2.66e-01 4.64e-02 -1.36e+01 1.34e-01 314s -------------------------------------------------------- 314s ======================================================== 314s > dodata(method="exact") 314s 314s Call: dodata(method = "exact") 314s Data Set n p Half LOG(obj) Time 314s ======================================================== 314s heart 12 2 7 5.678742 314s Best subsample: 314s [1] 1 3 4 5 7 9 11 314s Outliers: 0 314s Too many to print ... 314s ------------- 314s 314s Call: 314s CovMcd(x = x, nsamp = "exact", trace = FALSE) 314s -> Method: Fast MCD(alpha=0.5 ==> h=7); nsamp = exact; (n,k)mini = (300,5) 314s 314s Robust Estimate of Location: 314s height weight 314s 38.3 33.1 314s 314s Robust Estimate of Covariance: 314s height weight 314s height 135 259 314s weight 259 564 314s -------------------------------------------------------- 314s starsCYG 47 2 25 -8.031215 314s Best subsample: 314s [1] 1 2 4 6 8 10 12 13 16 24 25 26 28 32 33 37 38 39 40 41 42 43 44 45 46 314s Outliers: 7 314s [1] 7 9 11 14 20 30 34 314s ------------- 314s 314s Call: 314s CovMcd(x = x, nsamp = "exact", trace = FALSE) 314s -> Method: Fast MCD(alpha=0.5 ==> h=25); nsamp = exact; (n,k)mini = (300,5) 314s 314s Robust Estimate of Location: 314s log.Te log.light 314s 4.41 4.95 314s 314s Robust Estimate of Covariance: 314s log.Te log.light 314s log.Te 0.0132 0.0394 314s log.light 0.0394 0.2743 314s -------------------------------------------------------- 314s phosphor 18 2 10 6.878847 314s Best subsample: 314s [1] 3 5 8 9 11 12 13 14 15 17 314s Outliers: 3 314s [1] 1 6 10 314s ------------- 314s 314s Call: 314s CovMcd(x = x, nsamp = "exact", trace = FALSE) 314s -> Method: Fast MCD(alpha=0.5 ==> h=10); nsamp = exact; (n,k)mini = (300,5) 314s 314s Robust Estimate of Location: 314s inorg organic 314s 13.4 38.8 314s 314s Robust Estimate of Covariance: 314s inorg organic 314s inorg 129 130 314s organic 130 182 314s -------------------------------------------------------- 315s coleman 20 5 13 1.286808 315s Best subsample: 315s [1] 2 3 4 5 7 8 12 13 14 16 17 19 20 315s Outliers: 7 315s [1] 1 6 9 10 11 15 18 315s ------------- 315s 315s Call: 315s CovMcd(x = x, nsamp = "exact", trace = FALSE) 315s -> Method: Fast MCD(alpha=0.5 ==> h=13); nsamp = exact; (n,k)mini = (300,5) 315s 315s Robust Estimate of Location: 315s salaryP fatherWc sstatus teacherSc motherLev 315s 2.76 48.38 6.12 25.00 6.40 315s 315s Robust Estimate of Covariance: 315s salaryP fatherWc sstatus teacherSc motherLev 315s salaryP 0.253 1.786 -0.266 0.151 0.075 315s fatherWc 1.786 1303.382 330.496 12.604 34.503 315s sstatus -0.266 330.496 119.888 3.833 10.131 315s teacherSc 0.151 12.604 3.833 0.785 0.555 315s motherLev 0.075 34.503 10.131 0.555 1.043 315s -------------------------------------------------------- 315s salinity 28 3 16 1.326364 315s Best subsample: 315s [1] 1 2 6 7 8 12 13 14 18 20 21 22 25 26 27 28 315s Outliers: 4 315s [1] 5 16 23 24 315s ------------- 315s 315s Call: 315s CovMcd(x = x, nsamp = "exact", trace = FALSE) 315s -> Method: Fast MCD(alpha=0.5 ==> h=16); nsamp = exact; (n,k)mini = (300,5) 315s 315s Robust Estimate of Location: 315s X1 X2 X3 315s 10.08 2.78 22.78 315s 315s Robust Estimate of Covariance: 315s X1 X2 X3 315s X1 10.44 1.01 -3.19 315s X2 1.01 3.83 -1.44 315s X3 -3.19 -1.44 2.39 315s -------------------------------------------------------- 315s wood 20 5 13 -36.270094 315s Best subsample: 315s [1] 1 2 3 5 9 10 12 13 14 15 17 18 20 315s Outliers: 7 315s [1] 4 6 7 8 11 16 19 315s ------------- 315s 315s Call: 315s CovMcd(x = x, nsamp = "exact", trace = FALSE) 315s -> Method: Fast MCD(alpha=0.5 ==> h=13); nsamp = exact; (n,k)mini = (300,5) 315s 315s Robust Estimate of Location: 315s x1 x2 x3 x4 x5 315s 0.587 0.122 0.531 0.538 0.892 315s 315s Robust Estimate of Covariance: 315s x1 x2 x3 x4 x5 315s x1 1.00e-02 1.88e-03 3.15e-03 -5.86e-04 -1.63e-03 315s x2 1.88e-03 4.85e-04 1.27e-03 -5.20e-05 2.36e-05 315s x3 3.15e-03 1.27e-03 6.63e-03 -8.71e-04 3.52e-04 315s x4 -5.86e-04 -5.20e-05 -8.71e-04 2.85e-03 1.83e-03 315s x5 -1.63e-03 2.36e-05 3.52e-04 1.83e-03 2.77e-03 315s -------------------------------------------------------- 315s Animals 28 2 15 14.555543 315s Best subsample: 315s [1] 1 3 4 5 10 11 17 18 19 20 21 22 23 26 27 315s Outliers: 14 315s [1] 2 6 7 8 9 12 13 14 15 16 23 24 25 28 315s ------------- 315s 315s Call: 315s CovMcd(x = x, nsamp = "exact", trace = FALSE) 315s -> Method: Fast MCD(alpha=0.5 ==> h=15); nsamp = exact; (n,k)mini = (300,5) 315s 315s Robust Estimate of Location: 315s body brain 315s 18.7 64.9 315s 315s Robust Estimate of Covariance: 315s body brain 315s body 929 1576 315s brain 1576 5646 315s -------------------------------------------------------- 315s lactic 20 2 11 0.359580 315s Best subsample: 315s [1] 1 2 3 4 5 7 8 9 10 11 12 315s Outliers: 4 315s [1] 17 18 19 20 315s ------------- 315s 315s Call: 315s CovMcd(x = x, nsamp = "exact", trace = FALSE) 315s -> Method: Fast MCD(alpha=0.5 ==> h=11); nsamp = exact; (n,k)mini = (300,5) 315s 315s Robust Estimate of Location: 315s X Y 315s 3.86 5.01 315s 315s Robust Estimate of Covariance: 315s X Y 315s X 10.6 14.6 315s Y 14.6 21.3 315s -------------------------------------------------------- 315s pension 18 2 10 16.675508 315s Best subsample: 315s [1] 1 2 3 4 5 6 8 9 11 12 315s Outliers: 5 315s [1] 14 15 16 17 18 315s ------------- 315s 315s Call: 315s CovMcd(x = x, nsamp = "exact", trace = FALSE) 315s -> Method: Fast MCD(alpha=0.5 ==> h=10); nsamp = exact; (n,k)mini = (300,5) 315s 315s Robust Estimate of Location: 315s Income Reserves 315s 52.3 560.9 315s 315s Robust Estimate of Covariance: 315s Income Reserves 315s Income 1420 11932 315s Reserves 11932 208643 315s -------------------------------------------------------- 315s vaso 39 2 21 -3.972244 315s Best subsample: 315s [1] 3 4 8 14 18 19 20 21 22 23 24 25 26 27 28 33 34 35 37 38 39 315s Outliers: 4 315s [1] 1 2 17 31 315s ------------- 315s 315s Call: 315s CovMcd(x = x, nsamp = "exact", trace = FALSE) 315s -> Method: Fast MCD(alpha=0.5 ==> h=21); nsamp = exact; (n,k)mini = (300,5) 315s 315s Robust Estimate of Location: 315s Volume Rate 315s 1.16 1.72 315s 315s Robust Estimate of Covariance: 315s Volume Rate 315s Volume 0.313 -0.167 315s Rate -0.167 0.728 315s -------------------------------------------------------- 315s stackloss 21 3 12 5.472581 315s Best subsample: 315s [1] 4 5 6 7 8 9 10 11 12 13 14 20 315s Outliers: 9 315s [1] 1 2 3 15 16 17 18 19 21 315s ------------- 315s 315s Call: 315s CovMcd(x = x, nsamp = "exact", trace = FALSE) 315s -> Method: Fast MCD(alpha=0.5 ==> h=12); nsamp = exact; (n,k)mini = (300,5) 315s 315s Robust Estimate of Location: 315s Air.Flow Water.Temp Acid.Conc. 315s 59.5 20.8 87.3 315s 315s Robust Estimate of Covariance: 315s Air.Flow Water.Temp Acid.Conc. 315s Air.Flow 6.29 5.85 5.74 315s Water.Temp 5.85 9.23 6.14 315s Acid.Conc. 5.74 6.14 23.25 315s -------------------------------------------------------- 315s pilot 20 2 11 6.487287 315s Best subsample: 315s [1] 2 3 6 7 9 12 15 16 17 18 20 315s Outliers: 0 315s Too many to print ... 315s ------------- 315s 315s Call: 315s CovMcd(x = x, nsamp = "exact", trace = FALSE) 315s -> Method: Fast MCD(alpha=0.5 ==> h=11); nsamp = exact; (n,k)mini = (300,5) 315s 315s Robust Estimate of Location: 315s X Y 315s 101.1 67.7 315s 315s Robust Estimate of Covariance: 315s X Y 315s X 3344 1070 315s Y 1070 343 315s -------------------------------------------------------- 315s ======================================================== 315s > dodata(method="MRCD") 315s 315s Call: dodata(method = "MRCD") 315s Data Set n p Half LOG(obj) Time 315s ======================================================== 315s heart 12 2 6 7.446266 315s Best subsample: 315s [1] 1 3 4 7 9 11 315s Outliers: 0 315s Too many to print ... 315s ------------- 315s 315s Call: 315s CovMrcd(x = x, trace = FALSE) 315s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=6) 315s 315s Robust Estimate of Location: 315s height weight 315s 38.8 33.0 315s 315s Robust Estimate of Covariance: 315s height weight 315s height 47.4 75.2 315s weight 75.2 155.4 315s -------------------------------------------------------- 315s starsCYG 47 2 24 -5.862050 315s Best subsample: 315s [1] 1 6 10 12 13 16 23 24 25 26 28 31 33 37 38 39 40 41 42 43 44 45 46 47 315s Outliers: 0 315s Too many to print ... 315s ------------- 315s 315s Call: 315s CovMrcd(x = x, trace = FALSE) 315s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=24) 315s 315s Robust Estimate of Location: 315s log.Te log.light 315s 4.44 5.05 315s 315s Robust Estimate of Covariance: 315s log.Te log.light 315s log.Te 0.00867 0.02686 315s log.light 0.02686 0.41127 315s -------------------------------------------------------- 315s phosphor 18 2 9 9.954788 315s Best subsample: 315s [1] 4 7 8 9 11 12 13 14 16 315s Outliers: 0 315s Too many to print ... 315s ------------- 315s 315s Call: 315s CovMrcd(x = x, trace = FALSE) 315s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=9) 315s 315s Robust Estimate of Location: 315s inorg organic 315s 12.5 39.0 315s 315s Robust Estimate of Covariance: 315s inorg organic 315s inorg 236 140 315s organic 140 172 315s -------------------------------------------------------- 315s stackloss 21 3 11 7.991165 315s Best subsample: 315s [1] 4 5 6 7 8 9 10 13 18 19 20 315s Outliers: 0 315s Too many to print ... 315s ------------- 315s 315s Call: 315s CovMrcd(x = x, trace = FALSE) 315s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=11) 315s 315s Robust Estimate of Location: 315s Air.Flow Water.Temp Acid.Conc. 315s 58.2 21.4 85.2 315s 315s Robust Estimate of Covariance: 315s Air.Flow Water.Temp Acid.Conc. 315s Air.Flow 49.8 17.2 42.7 315s Water.Temp 17.2 13.8 25.2 315s Acid.Conc. 42.7 25.2 58.2 315s -------------------------------------------------------- 315s coleman 20 5 10 5.212156 315s Best subsample: 315s [1] 3 4 5 7 8 9 14 16 19 20 315s Outliers: 0 315s Too many to print ... 315s ------------- 315s 315s Call: 315s CovMrcd(x = x, trace = FALSE) 315s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=10) 315s 315s Robust Estimate of Location: 315s salaryP fatherWc sstatus teacherSc motherLev 315s 2.78 59.44 9.28 25.41 6.70 315s 315s Robust Estimate of Covariance: 315s salaryP fatherWc sstatus teacherSc motherLev 315s salaryP 0.1582 -0.2826 0.4112 0.1754 0.0153 315s fatherWc -0.2826 902.9210 201.5815 -2.1236 18.8736 315s sstatus 0.4112 201.5815 65.4580 -0.3876 4.7794 315s teacherSc 0.1754 -2.1236 -0.3876 0.7233 -0.0322 315s motherLev 0.0153 18.8736 4.7794 -0.0322 0.5417 315s -------------------------------------------------------- 315s salinity 28 3 14 3.586919 315s Best subsample: 315s [1] 1 7 8 12 13 14 18 20 21 22 25 26 27 28 315s Outliers: 0 315s Too many to print ... 315s ------------- 315s 315s Call: 315s CovMrcd(x = x, trace = FALSE) 315s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=14) 315s 315s Robust Estimate of Location: 315s X1 X2 X3 315s 10.95 3.71 21.99 315s 315s Robust Estimate of Covariance: 315s X1 X2 X3 315s X1 14.153 0.718 -3.359 315s X2 0.718 3.565 -0.722 315s X3 -3.359 -0.722 1.607 315s -------------------------------------------------------- 315s wood 20 5 10 -33.100492 315s Best subsample: 315s [1] 1 2 3 5 11 14 15 17 18 20 315s Outliers: 0 315s Too many to print ... 315s ------------- 315s 315s Call: 315s CovMrcd(x = x, trace = FALSE) 315s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=10) 315s 315s Robust Estimate of Location: 315s x1 x2 x3 x4 x5 315s 0.572 0.120 0.504 0.545 0.899 315s 315s Robust Estimate of Covariance: 315s x1 x2 x3 x4 x5 315s x1 0.007543 0.001720 0.000412 -0.001230 -0.001222 315s x2 0.001720 0.000568 0.000355 -0.000533 -0.000132 315s x3 0.000412 0.000355 0.002478 0.000190 0.000811 315s x4 -0.001230 -0.000533 0.000190 0.002327 0.000967 315s x5 -0.001222 -0.000132 0.000811 0.000967 0.001894 315s -------------------------------------------------------- 315s hbk 75 3 38 1.539545 315s Best subsample: 315s [1] 15 17 18 19 20 21 22 23 24 26 27 29 32 33 35 36 38 40 41 43 48 49 50 51 54 315s [26] 55 56 58 59 63 64 66 67 70 71 72 73 74 315s Outliers: 0 315s Too many to print ... 315s ------------- 315s 315s Call: 315s CovMrcd(x = x, trace = FALSE) 315s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=38) 315s 315s Robust Estimate of Location: 315s X1 X2 X3 315s 1.60 2.37 1.64 315s 315s Robust Estimate of Covariance: 315s X1 X2 X3 315s X1 2.810 0.124 1.248 315s X2 0.124 1.017 0.208 315s X3 1.248 0.208 2.218 315s -------------------------------------------------------- 315s Animals 28 2 14 16.278395 315s Best subsample: 315s [1] 1 3 4 5 10 11 18 19 20 21 22 23 26 27 315s Outliers: 0 315s Too many to print ... 315s ------------- 315s 315s Call: 315s CovMrcd(x = x, trace = FALSE) 315s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=14) 315s 315s Robust Estimate of Location: 315s body brain 315s 19.5 56.8 315s 315s Robust Estimate of Covariance: 315s body brain 315s body 2802 5179 315s brain 5179 13761 315s -------------------------------------------------------- 315s bushfire 38 5 19 28.483413 315s Best subsample: 315s [1] 1 2 3 4 5 14 15 16 17 18 19 20 21 22 23 24 25 26 27 315s Outliers: 0 315s Too many to print ... 315s ------------- 315s 315s Call: 315s CovMrcd(x = x, trace = FALSE) 315s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=19) 315s 315s Robust Estimate of Location: 315s V1 V2 V3 V4 V5 315s 103 145 287 221 281 315s 315s Robust Estimate of Covariance: 315s V1 V2 V3 V4 V5 315s V1 366 249 -1993 -503 -396 315s V2 249 252 -1223 -291 -233 315s V3 -1993 -1223 14246 3479 2718 315s V4 -503 -291 3479 1083 748 315s V5 -396 -233 2718 748 660 315s -------------------------------------------------------- 315s lactic 20 2 10 2.593141 315s Best subsample: 315s [1] 1 2 3 4 5 7 8 9 10 11 315s Outliers: 0 315s Too many to print ... 315s ------------- 315s 315s Call: 315s CovMrcd(x = x, trace = FALSE) 315s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=10) 315s 315s Robust Estimate of Location: 315s X Y 315s 2.60 3.63 315s 315s Robust Estimate of Covariance: 315s X Y 315s X 8.13 13.54 315s Y 13.54 24.17 315s -------------------------------------------------------- 315s pension 18 2 9 18.931204 315s Best subsample: 315s [1] 2 3 4 5 6 8 9 11 12 315s Outliers: 0 315s Too many to print ... 315s ------------- 315s 315s Call: 315s CovMrcd(x = x, trace = FALSE) 315s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=9) 315s 315s Robust Estimate of Location: 315s Income Reserves 315s 45.7 466.9 315s 315s Robust Estimate of Covariance: 315s Income Reserves 315s Income 2127 23960 315s Reserves 23960 348275 315s -------------------------------------------------------- 315s vaso 39 2 20 -1.864710 315s Best subsample: 315s [1] 3 4 8 14 18 20 21 22 23 24 25 26 27 28 33 34 35 37 38 39 315s Outliers: 0 315s Too many to print ... 315s ------------- 315s 315s Call: 315s CovMrcd(x = x, trace = FALSE) 315s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=20) 315s 315s Robust Estimate of Location: 315s Volume Rate 315s 1.14 1.77 315s 315s Robust Estimate of Covariance: 315s Volume Rate 315s Volume 0.44943 -0.00465 315s Rate -0.00465 0.34480 315s -------------------------------------------------------- 315s wagnerGrowth 63 6 32 9.287760 315s Best subsample: 315s [1] 2 3 4 5 6 7 9 10 11 12 16 18 20 23 25 27 31 32 35 36 38 41 44 48 52 315s [26] 53 54 55 56 57 60 62 315s Outliers: 0 315s Too many to print ... 315s ------------- 315s 315s Call: 315s CovMrcd(x = x, trace = FALSE) 315s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=32) 315s 315s Robust Estimate of Location: 315s Region PA GPA HS GHS y 315s 10.719 33.816 -2.144 2.487 0.293 4.918 315s 315s Robust Estimate of Covariance: 315s Region PA GPA HS GHS y 315s Region 56.7128 17.4919 -2.9710 -0.6491 -0.4545 -10.4287 315s PA 17.4919 29.9968 -7.6846 -1.3141 0.5418 -35.6434 315s GPA -2.9710 -7.6846 6.3238 1.1257 -0.4757 12.4707 315s HS -0.6491 -1.3141 1.1257 1.1330 -0.0915 3.3617 315s GHS -0.4545 0.5418 -0.4757 -0.0915 0.1468 -1.1228 315s y -10.4287 -35.6434 12.4707 3.3617 -1.1228 67.4215 315s -------------------------------------------------------- 315s fish 159 6 79 22.142828 315s Best subsample: 315s [1] 2 3 4 5 6 7 8 9 10 11 12 14 15 16 17 18 19 20 21 315s [20] 22 23 24 25 26 27 35 36 37 42 43 44 45 46 47 48 49 50 51 315s [39] 52 53 54 55 56 57 58 59 60 71 105 106 107 109 110 111 113 114 115 315s [58] 116 117 118 119 120 122 123 124 125 126 127 128 129 130 131 132 134 135 136 315s [77] 137 138 139 315s Outliers: 0 315s Too many to print ... 315s ------------- 315s 315s Call: 315s CovMrcd(x = x, trace = FALSE) 315s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=79) 315s 315s Robust Estimate of Location: 315s Weight Length1 Length2 Length3 Height Width 315s 291.7 23.8 25.9 28.9 30.4 14.7 315s 315s Robust Estimate of Covariance: 315s Weight Length1 Length2 Length3 Height Width 315s Weight 77155.07 1567.55 1713.74 2213.16 1912.62 -103.97 315s Length1 1567.55 45.66 41.57 52.14 38.66 -2.39 315s Length2 1713.74 41.57 54.26 56.77 42.72 -2.55 315s Length3 2213.16 52.14 56.77 82.57 58.84 -3.65 315s Height 1912.62 38.66 42.72 58.84 70.51 -3.80 315s Width -103.97 -2.39 -2.55 -3.65 -3.80 1.19 315s -------------------------------------------------------- 315s pottery 27 6 14 -6.897459 315s Best subsample: 315s [1] 1 2 4 5 6 10 11 13 14 15 19 21 22 26 315s Outliers: 0 315s Too many to print ... 315s ------------- 315s 315s Call: 315s CovMrcd(x = x, trace = FALSE) 315s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=14) 315s 315s Robust Estimate of Location: 315s SI AL FE MG CA TI 315s 54.39 14.93 9.78 3.82 5.11 0.86 315s 315s Robust Estimate of Covariance: 315s SI AL FE MG CA TI 315s SI 17.47469 -0.16656 0.39943 4.48192 -0.71153 0.06515 315s AL -0.16656 3.93154 -0.35738 -2.29899 0.14770 -0.02050 315s FE 0.39943 -0.35738 0.20434 0.37562 -0.22460 0.00943 315s MG 4.48192 -2.29899 0.37562 2.82339 -0.16027 0.02943 315s CA -0.71153 0.14770 -0.22460 -0.16027 0.88443 -0.01711 315s TI 0.06515 -0.02050 0.00943 0.02943 -0.01711 0.00114 315s -------------------------------------------------------- 316s rice 105 6 53 -8.916472 316s Best subsample: 316s [1] 4 6 8 10 13 15 16 17 18 25 27 29 30 31 32 33 34 36 37 316s [20] 38 44 45 47 51 52 53 54 55 59 60 65 67 70 72 76 79 80 81 316s [39] 82 83 84 85 86 90 92 93 94 95 97 98 99 101 105 316s Outliers: 0 316s Too many to print ... 316s ------------- 316s 316s Call: 316s CovMrcd(x = x, trace = FALSE) 316s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=53) 316s 316s Robust Estimate of Location: 316s Favor Appearance Taste Stickiness 316s -0.1741 0.0774 -0.0472 0.1868 316s Toughness Overall_evaluation 316s -0.0346 -0.0683 316s 316s Robust Estimate of Covariance: 316s Favor Appearance Taste Stickiness Toughness 316s Favor 0.402 0.306 0.378 0.364 -0.134 316s Appearance 0.306 0.508 0.474 0.407 -0.146 316s Taste 0.378 0.474 0.708 0.611 -0.258 316s Stickiness 0.364 0.407 0.611 0.795 -0.320 316s Toughness -0.134 -0.146 -0.258 -0.320 0.302 316s Overall_evaluation 0.453 0.536 0.746 0.745 -0.327 316s Overall_evaluation 316s Favor 0.453 316s Appearance 0.536 316s Taste 0.746 316s Stickiness 0.745 316s Toughness -0.327 316s Overall_evaluation 0.963 316s -------------------------------------------------------- 316s un86 73 7 37 19.832993 316s Best subsample: 316s [1] 9 10 12 14 16 17 18 20 23 24 25 26 27 31 32 33 37 39 42 48 49 50 51 52 55 316s [26] 56 57 60 62 63 64 65 67 70 71 72 73 316s Outliers: 0 316s Too many to print ... 316s ------------- 316s 316s Call: 316s CovMrcd(x = x, trace = FALSE) 316s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=37) 316s 316s Robust Estimate of Location: 316s POP MOR CAR DR GNP DEN TB 316s 14.462 66.892 6.670 0.858 1.251 55.518 0.429 316s 316s Robust Estimate of Covariance: 316s POP MOR CAR DR GNP DEN 316s POP 3.00e+02 1.58e+02 9.83e+00 2.74e+00 5.51e-01 6.87e+01 316s MOR 1.58e+02 2.96e+03 -4.24e+02 -4.72e+01 -5.40e+01 -1.01e+03 316s CAR 9.83e+00 -4.24e+02 9.12e+01 8.71e+00 1.13e+01 1.96e+02 316s DR 2.74e+00 -4.72e+01 8.71e+00 1.25e+00 1.03e+00 2.74e+01 316s GNP 5.51e-01 -5.40e+01 1.13e+01 1.03e+00 2.31e+00 2.36e+01 316s DEN 6.87e+01 -1.01e+03 1.96e+02 2.74e+01 2.36e+01 3.12e+03 316s TB 2.04e-02 -1.81e+00 3.42e-01 2.57e-02 2.09e-02 -6.88e-01 316s TB 316s POP 2.04e-02 316s MOR -1.81e+00 316s CAR 3.42e-01 316s DR 2.57e-02 316s GNP 2.09e-02 316s DEN -6.88e-01 316s TB 2.59e-02 316s -------------------------------------------------------- 316s wages 39 10 14 35.698016 316s Best subsample: 316s [1] 1 2 5 6 9 10 11 13 15 19 23 25 26 28 316s Outliers: 0 316s Too many to print ... 316s ------------- 316s 316s Call: 316s CovMrcd(x = x, trace = FALSE) 316s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=14) 316s 316s Robust Estimate of Location: 316s HRS RATE ERSP ERNO NEIN ASSET AGE DEP 316s 2167.71 2.96 1113.50 300.43 382.29 7438.00 39.06 2.41 316s RACE SCHOOL 316s 33.00 10.45 316s 316s Robust Estimate of Covariance: 316s HRS RATE ERSP ERNO NEIN ASSET 316s HRS 1.97e+03 -4.14e-01 -4.71e+03 -6.58e+02 1.81e+03 3.84e+04 316s RATE -4.14e-01 1.14e-01 1.79e+01 3.08e+00 1.40e+01 3.57e+02 316s ERSP -4.71e+03 1.79e+01 1.87e+04 2.33e+03 -2.06e+03 -3.57e+04 316s ERNO -6.58e+02 3.08e+00 2.33e+03 5.36e+02 -3.42e+02 -5.56e+03 316s NEIN 1.81e+03 1.40e+01 -2.06e+03 -3.42e+02 5.77e+03 1.10e+05 316s ASSET 3.84e+04 3.57e+02 -3.57e+04 -5.56e+03 1.10e+05 2.86e+06 316s AGE -1.83e+01 1.09e-02 6.69e+01 8.78e+00 -5.07e+00 -1.51e+02 316s DEP 4.82e+00 -3.14e-02 -2.52e+01 -2.96e+00 -5.33e+00 -1.03e+02 316s RACE -5.67e+02 -1.33e+00 1.21e+03 1.81e+02 -9.13e+02 -1.96e+04 316s SCHOOL 5.33e+00 1.87e-01 1.86e+01 3.12e+00 3.20e+01 7.89e+02 316s AGE DEP RACE SCHOOL 316s HRS -1.83e+01 4.82e+00 -5.67e+02 5.33e+00 316s RATE 1.09e-02 -3.14e-02 -1.33e+00 1.87e-01 316s ERSP 6.69e+01 -2.52e+01 1.21e+03 1.86e+01 316s ERNO 8.78e+00 -2.96e+00 1.81e+02 3.12e+00 316s NEIN -5.07e+00 -5.33e+00 -9.13e+02 3.20e+01 316s ASSET -1.51e+02 -1.03e+02 -1.96e+04 7.89e+02 316s AGE 5.71e-01 -1.56e-01 4.58e+00 -5.00e-02 316s DEP -1.56e-01 8.08e-02 -3.02e-01 -4.47e-02 316s RACE 4.58e+00 -3.02e-01 2.36e+02 -4.54e+00 316s SCHOOL -5.00e-02 -4.47e-02 -4.54e+00 4.23e-01 316s -------------------------------------------------------- 316s airquality 153 4 56 21.136376 316s Best subsample: 316s [1] 2 3 8 10 24 25 28 32 33 35 36 37 38 39 40 41 42 43 46 316s [20] 47 48 49 52 54 56 57 58 59 60 66 67 69 71 72 73 76 78 81 316s [39] 82 84 86 87 89 90 91 92 96 97 98 100 101 105 106 109 110 111 316s Outliers: 0 316s Too many to print ... 316s ------------- 316s 316s Call: 316s CovMrcd(x = x, trace = FALSE) 316s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=56) 316s 316s Robust Estimate of Location: 316s Ozone Solar.R Wind Temp 316s 41.84 197.21 8.93 80.39 316s 316s Robust Estimate of Covariance: 316s Ozone Solar.R Wind Temp 316s Ozone 1480.7 1562.8 -99.9 347.3 316s Solar.R 1562.8 11401.2 -35.2 276.8 316s Wind -99.9 -35.2 11.4 -23.5 316s Temp 347.3 276.8 -23.5 107.7 316s -------------------------------------------------------- 316s attitude 30 7 15 27.040805 316s Best subsample: 316s [1] 2 3 4 5 7 8 10 12 15 19 22 23 25 27 28 316s Outliers: 0 316s Too many to print ... 316s ------------- 316s 316s Call: 316s CovMrcd(x = x, trace = FALSE) 316s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=15) 316s 316s Robust Estimate of Location: 316s rating complaints privileges learning raises critical 316s 65.8 66.5 50.1 56.1 66.7 78.1 316s advance 316s 41.7 316s 316s Robust Estimate of Covariance: 316s rating complaints privileges learning raises critical advance 316s rating 138.77 80.02 59.22 107.33 95.83 -1.24 54.36 316s complaints 80.02 97.23 50.59 99.50 79.15 -2.71 42.81 316s privileges 59.22 50.59 84.92 90.03 60.88 22.39 44.93 316s learning 107.33 99.50 90.03 187.67 128.71 15.48 63.67 316s raises 95.83 79.15 60.88 128.71 123.94 -1.46 49.98 316s critical -1.24 -2.71 22.39 15.48 -1.46 61.23 12.88 316s advance 54.36 42.81 44.93 63.67 49.98 12.88 48.61 316s -------------------------------------------------------- 316s attenu 182 5 83 9.710111 316s Best subsample: 316s [1] 41 42 43 44 48 49 51 68 70 72 73 74 75 76 77 82 83 84 85 316s [20] 86 87 88 89 90 91 92 101 102 103 104 106 107 109 110 111 112 113 114 316s [39] 115 116 117 121 122 124 125 126 127 128 129 130 131 132 133 134 135 136 137 316s [58] 138 139 140 141 144 145 146 147 148 149 150 151 152 153 155 156 157 158 159 316s [77] 160 161 162 163 164 165 166 316s Outliers: 0 316s Too many to print ... 316s ------------- 316s 316s Call: 316s CovMrcd(x = x, trace = FALSE) 316s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=83) 316s 316s Robust Estimate of Location: 316s event mag station dist accel 316s 18.940 5.741 67.988 23.365 0.124 316s 316s Robust Estimate of Covariance: 316s event mag station dist accel 316s event 2.86e+01 -2.31e+00 1.02e+02 2.68e+01 -1.99e-01 316s mag -2.31e+00 6.17e-01 -7.03e+00 4.67e-01 2.59e-02 316s station 1.02e+02 -7.03e+00 1.66e+03 1.62e+02 7.96e-02 316s dist 2.68e+01 4.67e-01 1.62e+02 3.61e+02 -1.23e+00 316s accel -1.99e-01 2.59e-02 7.96e-02 -1.23e+00 9.42e-03 316s -------------------------------------------------------- 316s USJudgeRatings 43 12 22 -23.463708 316s Best subsample: 316s [1] 2 3 4 6 9 11 15 16 18 19 24 25 26 27 28 29 32 33 34 36 37 38 316s Outliers: 0 316s Too many to print ... 316s ------------- 316s 316s Call: 316s CovMrcd(x = x, trace = FALSE) 316s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=22) 316s 316s Robust Estimate of Location: 316s CONT INTG DMNR DILG CFMG DECI PREP FAMI ORAL WRIT PHYS RTEN 316s 7.24 8.42 8.10 8.19 7.95 8.00 7.96 7.96 7.81 7.89 8.40 8.20 316s 316s Robust Estimate of Covariance: 316s CONT INTG DMNR DILG CFMG DECI PREP 316s CONT 0.61805 -0.05601 -0.09540 0.00694 0.09853 0.06261 0.03939 316s INTG -0.05601 0.23560 0.27537 0.20758 0.16603 0.17281 0.21128 316s DMNR -0.09540 0.27537 0.55349 0.28872 0.24014 0.24293 0.28886 316s DILG 0.00694 0.20758 0.28872 0.34099 0.23502 0.23917 0.29672 316s CFMG 0.09853 0.16603 0.24014 0.23502 0.31649 0.23291 0.27651 316s DECI 0.06261 0.17281 0.24293 0.23917 0.23291 0.30681 0.27737 316s PREP 0.03939 0.21128 0.28886 0.29672 0.27651 0.27737 0.42020 316s FAMI 0.04588 0.20388 0.26072 0.29037 0.27179 0.27737 0.34857 316s ORAL 0.03000 0.21379 0.29606 0.28764 0.27338 0.27424 0.33503 316s WRIT 0.03261 0.20258 0.26931 0.27962 0.26382 0.26610 0.32677 316s PHYS -0.04485 0.13598 0.17659 0.16834 0.14554 0.16467 0.18948 316s RTEN 0.01543 0.22654 0.32117 0.27307 0.23826 0.24669 0.29450 316s FAMI ORAL WRIT PHYS RTEN 316s CONT 0.04588 0.03000 0.03261 -0.04485 0.01543 316s INTG 0.20388 0.21379 0.20258 0.13598 0.22654 316s DMNR 0.26072 0.29606 0.26931 0.17659 0.32117 316s DILG 0.29037 0.28764 0.27962 0.16834 0.27307 316s CFMG 0.27179 0.27338 0.26382 0.14554 0.23826 316s DECI 0.27737 0.27424 0.26610 0.16467 0.24669 316s PREP 0.34857 0.33503 0.32677 0.18948 0.29450 316s FAMI 0.47232 0.33762 0.33420 0.19759 0.29015 316s ORAL 0.33762 0.40361 0.32208 0.19794 0.29544 316s WRIT 0.33420 0.32208 0.38733 0.19276 0.28184 316s PHYS 0.19759 0.19794 0.19276 0.20284 0.18097 316s RTEN 0.29015 0.29544 0.28184 0.18097 0.36877 316s -------------------------------------------------------- 316s USArrests 50 4 25 17.834643 316s Best subsample: 316s [1] 4 7 12 13 14 15 16 19 21 23 25 26 27 29 30 32 34 35 36 38 41 45 46 49 50 316s Outliers: 0 316s Too many to print ... 316s ------------- 316s 316s Call: 316s CovMrcd(x = x, trace = FALSE) 316s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=25) 316s 316s Robust Estimate of Location: 316s Murder Assault UrbanPop Rape 316s 5.38 121.68 63.80 16.33 316s 316s Robust Estimate of Covariance: 316s Murder Assault UrbanPop Rape 316s Murder 17.8 316.3 48.5 31.1 316s Assault 316.3 6863.0 1040.0 548.9 316s UrbanPop 48.5 1040.0 424.8 93.6 316s Rape 31.1 548.9 93.6 63.8 316s -------------------------------------------------------- 316s longley 16 7 8 31.147844 316s Best subsample: 316s [1] 5 6 7 9 10 11 13 14 316s Outliers: 0 316s Too many to print ... 316s ------------- 316s 316s Call: 316s CovMrcd(x = x, trace = FALSE) 316s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=8) 316s 316s Robust Estimate of Location: 316s GNP.deflator GNP Unemployed Armed.Forces Population 316s 104.3 410.8 278.8 300.1 118.2 316s Year Employed 316s 1955.4 66.5 316s 316s Robust Estimate of Covariance: 316s GNP.deflator GNP Unemployed Armed.Forces Population 316s GNP.deflator 85.0 652.3 784.4 -370.7 48.7 316s GNP 652.3 7502.9 7328.6 -3414.2 453.9 316s Unemployed 784.4 7328.6 10760.3 -4646.7 548.1 316s Armed.Forces -370.7 -3414.2 -4646.7 2824.3 -253.9 316s Population 48.7 453.9 548.1 -253.9 40.2 316s Year 33.5 312.7 378.8 -176.1 23.4 316s Employed 23.9 224.8 263.6 -128.3 16.8 316s Year Employed 316s GNP.deflator 33.5 23.9 316s GNP 312.7 224.8 316s Unemployed 378.8 263.6 316s Armed.Forces -176.1 -128.3 316s Population 23.4 16.8 316s Year 18.9 11.7 316s Employed 11.7 10.3 316s -------------------------------------------------------- 316s Loblolly 84 3 42 11.163448 316s Best subsample: 316s [1] 3 4 5 6 10 21 22 23 24 28 29 33 34 35 36 39 40 41 42 45 46 47 48 51 52 316s [26] 53 54 57 58 59 63 64 65 66 70 71 76 77 81 82 83 84 316s Outliers: 0 316s Too many to print ... 316s ------------- 316s 316s Call: 316s CovMrcd(x = x, trace = FALSE) 316s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=42) 316s 316s Robust Estimate of Location: 316s height age Seed 316s 44.20 17.26 6.76 316s 316s Robust Estimate of Covariance: 316s height age Seed 316s height 326.74 139.18 3.50 316s age 139.18 68.48 -2.72 316s Seed 3.50 -2.72 25.43 316s -------------------------------------------------------- 316s quakes 1000 4 500 11.802478 316s Best subsample: 316s Too long... 316s Outliers: 0 316s Too many to print ... 316s ------------- 316s 316s Call: 316s CovMrcd(x = x, trace = FALSE) 316s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=500) 316s 316s Robust Estimate of Location: 316s lat long depth mag 316s -20.59 182.13 432.46 4.42 316s 316s Robust Estimate of Covariance: 316s lat long depth mag 316s lat 15.841 5.702 -106.720 -0.441 316s long 5.702 7.426 -577.189 -0.136 316s depth -106.720 -577.189 66701.479 3.992 316s mag -0.441 -0.136 3.992 0.144 316s -------------------------------------------------------- 316s ======================================================== 316s > ##doexactfit() 316s > 316s BEGIN TEST tmest4.R 316s 316s R version 4.3.3 (2024-02-29) -- "Angel Food Cake" 316s Copyright (C) 2024 The R Foundation for Statistical Computing 316s Platform: arm-unknown-linux-gnueabihf (32-bit) 316s 316s R is free software and comes with ABSOLUTELY NO WARRANTY. 316s You are welcome to redistribute it under certain conditions. 316s Type 'license()' or 'licence()' for distribution details. 316s 316s R is a collaborative project with many contributors. 316s Type 'contributors()' for more information and 316s 'citation()' on how to cite R or R packages in publications. 316s 316s Type 'demo()' for some demos, 'help()' for on-line help, or 316s 'help.start()' for an HTML browser interface to help. 316s Type 'q()' to quit R. 316s 316s > ## VT::15.09.2013 - this will render the output independent 316s > ## from the version of the package 316s > suppressPackageStartupMessages(library(rrcov)) 317s > 317s > library(MASS) 317s > dodata <- function(nrep = 1, time = FALSE, full = TRUE) { 317s + domest <- function(x, xname, nrep = 1) { 317s + n <- dim(x)[1] 317s + p <- dim(x)[2] 317s + mm <- CovMest(x) 317s + crit <- log(mm@crit) 317s + ## c1 <- mm@psi@c1 317s + ## M <- mm$psi@M 317s + 317s + xres <- sprintf("%3d %3d %12.6f\n", dim(x)[1], dim(x)[2], crit) 317s + lpad <- lname-nchar(xname) 317s + cat(pad.right(xname,lpad), xres) 317s + 317s + dist <- getDistance(mm) 317s + quantiel <- qchisq(0.975, p) 317s + ibad <- which(dist >= quantiel) 317s + names(ibad) <- NULL 317s + nbad <- length(ibad) 317s + cat("Outliers: ",nbad,"\n") 317s + if(nbad > 0) 317s + print(ibad) 317s + cat("-------------\n") 317s + show(mm) 317s + cat("--------------------------------------------------------\n") 317s + } 317s + 317s + options(digits = 5) 317s + set.seed(101) # <<-- sub-sampling algorithm now based on R's RNG and seed 317s + 317s + lname <- 20 317s + 317s + data(heart) 317s + data(starsCYG) 317s + data(phosphor) 317s + data(stackloss) 317s + data(coleman) 317s + data(salinity) 317s + data(wood) 317s + data(hbk) 317s + 317s + data(Animals, package = "MASS") 317s + brain <- Animals[c(1:24, 26:25, 27:28),] 317s + data(milk) 317s + data(bushfire) 317s + 317s + tmp <- sys.call() 317s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 317s + 317s + cat("Data Set n p c1 M LOG(det) Time\n") 317s + cat("======================================================================\n") 317s + domest(heart[, 1:2], data(heart), nrep) 317s + domest(starsCYG, data(starsCYG), nrep) 317s + domest(data.matrix(subset(phosphor, select = -plant)), data(phosphor), nrep) 317s + domest(stack.x, data(stackloss), nrep) 317s + domest(data.matrix(subset(coleman, select = -Y)), data(coleman), nrep) 317s + domest(data.matrix(subset(salinity, select = -Y)), data(salinity), nrep) 317s + domest(data.matrix(subset(wood, select = -y)), data(wood), nrep) 317s + domest(data.matrix(subset(hbk, select = -Y)), data(hbk), nrep) 317s + 317s + 317s + domest(brain, "Animals", nrep) 317s + domest(milk, data(milk), nrep) 317s + domest(bushfire, data(bushfire), nrep) 317s + cat("======================================================================\n") 317s + } 317s > 317s > # generate contaminated data using the function gendata with different 317s > # number of outliers and check if the M-estimate breaks - i.e. the 317s > # largest eigenvalue is larger than e.g. 5. 317s > # For n=50 and p=10 and d=5 the M-estimate can break for number of 317s > # outliers grater than 20. 317s > dogen <- function(){ 317s + eig <- vector("numeric",26) 317s + for(i in 0:25) { 317s + gg <- gendata(eps=i) 317s + mm <- CovMest(gg$x, t0=gg$tgood, S0=gg$sgood, arp=0.001) 317s + eig[i+1] <- ev <- getEvals(mm)[1] 317s + # cat(i, ev, "\n") 317s + 317s + stopifnot(ev < 5 || i > 20) 317s + } 317s + # plot(0:25, eig, type="l", xlab="Number of outliers", ylab="Largest Eigenvalue") 317s + } 317s > 317s > # 317s > # generate data 50x10 as multivariate normal N(0,I) and add 317s > # eps % outliers by adding d=5.0 to each component. 317s > # - if eps <0 and eps <=0.5, the number of outliers is eps*n 317s > # - if eps >= 1, it is the number of outliers 317s > # - use the center and cov of the good data as good start 317s > # - use the center and the cov of all data as a bad start 317s > # If using a good start, the M-estimate must iterate to 317s > # the good solution: the largest eigenvalue is less then e.g. 5 317s > # 317s > gendata <- function(n=50, p=10, eps=0, d=5.0){ 317s + 317s + if(eps < 0 || eps > 0.5 && eps < 1.0 || eps > 0.5*n) 317s + stop("eps is out of range") 317s + 317s + library(MASS) 317s + 317s + x <- mvrnorm(n, rep(0,p), diag(p)) 317s + bad <- vector("numeric") 317s + nbad = if(eps < 1) eps*n else eps 317s + if(nbad > 0){ 317s + bad <- sample(n, nbad) 317s + x[bad,] <- x[bad,] + d 317s + } 317s + cov1 <- cov.wt(x) 317s + cov2 <- if(nbad <= 0) cov1 else cov.wt(x[-bad,]) 317s + 317s + list(x=x, bad=sort(bad), tgood=cov2$center, sgood=cov2$cov, tbad=cov1$center, sbad=cov1$cov) 317s + } 317s > 317s > pad.right <- function(z, pads) 317s + { 317s + ## Pads spaces to right of text 317s + padding <- paste(rep(" ", pads), collapse = "") 317s + paste(z, padding, sep = "") 317s + } 317s > 317s > 317s > ## -- now do it: 317s > dodata() 317s 317s Call: dodata() 317s Data Set n p c1 M LOG(det) Time 317s ====================================================================== 317s heart 12 2 7.160341 317s Outliers: 3 317s [1] 2 6 12 317s ------------- 317s 317s Call: 317s CovMest(x = x) 317s -> Method: M-Estimates 317s 317s Robust Estimate of Location: 317s height weight 317s 34.9 27.0 317s 317s Robust Estimate of Covariance: 317s height weight 317s height 102 155 317s weight 155 250 317s -------------------------------------------------------- 317s starsCYG 47 2 -5.994588 317s Outliers: 7 317s [1] 7 9 11 14 20 30 34 317s ------------- 317s 317s Call: 317s CovMest(x = x) 317s -> Method: M-Estimates 317s 317s Robust Estimate of Location: 317s log.Te log.light 317s 4.42 4.95 317s 317s Robust Estimate of Covariance: 317s log.Te log.light 317s log.Te 0.0169 0.0587 317s log.light 0.0587 0.3523 317s -------------------------------------------------------- 317s phosphor 18 2 8.867522 317s Outliers: 3 317s [1] 1 6 10 317s ------------- 317s 317s Call: 317s CovMest(x = x) 317s -> Method: M-Estimates 317s 317s Robust Estimate of Location: 317s inorg organic 317s 15.4 39.1 317s 317s Robust Estimate of Covariance: 317s inorg organic 317s inorg 169 213 317s organic 213 308 317s -------------------------------------------------------- 317s stackloss 21 3 7.241400 317s Outliers: 9 317s [1] 1 2 3 15 16 17 18 19 21 317s ------------- 317s 317s Call: 317s CovMest(x = x) 317s -> Method: M-Estimates 317s 317s Robust Estimate of Location: 317s Air.Flow Water.Temp Acid.Conc. 317s 59.5 20.8 87.3 317s 317s Robust Estimate of Covariance: 317s Air.Flow Water.Temp Acid.Conc. 317s Air.Flow 9.34 8.69 8.52 317s Water.Temp 8.69 13.72 9.13 317s Acid.Conc. 8.52 9.13 34.54 317s -------------------------------------------------------- 317s coleman 20 5 2.574752 317s Outliers: 7 317s [1] 2 6 9 10 12 13 15 317s ------------- 317s 317s Call: 317s CovMest(x = x) 317s -> Method: M-Estimates 317s 317s Robust Estimate of Location: 317s salaryP fatherWc sstatus teacherSc motherLev 317s 2.82 48.44 5.30 25.19 6.51 317s 317s Robust Estimate of Covariance: 317s salaryP fatherWc sstatus teacherSc motherLev 317s salaryP 0.2850 0.1045 1.7585 0.3074 0.0355 317s fatherWc 0.1045 824.8305 260.7062 3.7507 17.7959 317s sstatus 1.7585 260.7062 105.6135 4.1140 5.7714 317s teacherSc 0.3074 3.7507 4.1140 0.6753 0.1563 317s motherLev 0.0355 17.7959 5.7714 0.1563 0.4147 317s -------------------------------------------------------- 317s salinity 28 3 3.875096 317s Outliers: 9 317s [1] 3 5 10 11 15 16 17 23 24 317s ------------- 317s 317s Call: 317s CovMest(x = x) 317s -> Method: M-Estimates 317s 317s Robust Estimate of Location: 317s X1 X2 X3 317s 10.02 3.21 22.36 317s 317s Robust Estimate of Covariance: 317s X1 X2 X3 317s X1 15.353 1.990 -5.075 317s X2 1.990 5.210 -0.769 317s X3 -5.075 -0.769 2.314 317s -------------------------------------------------------- 317s wood 20 5 -35.156305 317s Outliers: 7 317s [1] 4 6 7 8 11 16 19 317s ------------- 317s 317s Call: 317s CovMest(x = x) 317s -> Method: M-Estimates 317s 317s Robust Estimate of Location: 317s x1 x2 x3 x4 x5 317s 0.587 0.122 0.531 0.538 0.892 317s 317s Robust Estimate of Covariance: 317s x1 x2 x3 x4 x5 317s x1 6.45e-03 1.21e-03 2.03e-03 -3.77e-04 -1.05e-03 317s x2 1.21e-03 3.12e-04 8.16e-04 -3.34e-05 1.52e-05 317s x3 2.03e-03 8.16e-04 4.27e-03 -5.60e-04 2.27e-04 317s x4 -3.77e-04 -3.34e-05 -5.60e-04 1.83e-03 1.18e-03 317s x5 -1.05e-03 1.52e-05 2.27e-04 1.18e-03 1.78e-03 317s -------------------------------------------------------- 317s hbk 75 3 1.432485 317s Outliers: 14 317s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 317s ------------- 317s 317s Call: 317s CovMest(x = x) 317s -> Method: M-Estimates 317s 317s Robust Estimate of Location: 317s X1 X2 X3 317s 1.54 1.78 1.69 317s 317s Robust Estimate of Covariance: 317s X1 X2 X3 317s X1 1.6485 0.0739 0.1709 317s X2 0.0739 1.6780 0.2049 317s X3 0.1709 0.2049 1.5584 317s -------------------------------------------------------- 317s Animals 28 2 18.194822 317s Outliers: 10 317s [1] 2 6 7 9 12 14 15 16 25 28 317s ------------- 317s 317s Call: 317s CovMest(x = x) 317s -> Method: M-Estimates 317s 317s Robust Estimate of Location: 317s body brain 317s 18.7 64.9 317s 317s Robust Estimate of Covariance: 317s body brain 317s body 4993 8466 317s brain 8466 30335 317s -------------------------------------------------------- 317s milk 86 8 -25.041802 317s Outliers: 20 317s [1] 1 2 3 11 12 13 14 15 16 17 18 20 27 41 44 47 70 74 75 77 317s ------------- 317s 317s Call: 317s CovMest(x = x) 317s -> Method: M-Estimates 317s 317s Robust Estimate of Location: 317s X1 X2 X3 X4 X5 X6 X7 X8 317s 1.03 35.88 33.04 26.11 25.09 25.02 123.12 14.39 317s 317s Robust Estimate of Covariance: 317s X1 X2 X3 X4 X5 X6 X7 317s X1 4.89e-07 9.64e-05 1.83e-04 1.76e-04 1.57e-04 1.48e-04 6.53e-04 317s X2 9.64e-05 2.05e+00 3.38e-01 2.37e-01 1.70e-01 2.71e-01 1.91e+00 317s X3 1.83e-04 3.38e-01 1.16e+00 8.56e-01 8.48e-01 8.31e-01 8.85e-01 317s X4 1.76e-04 2.37e-01 8.56e-01 6.83e-01 6.55e-01 6.40e-01 6.91e-01 317s X5 1.57e-04 1.70e-01 8.48e-01 6.55e-01 6.93e-01 6.52e-01 6.90e-01 317s X6 1.48e-04 2.71e-01 8.31e-01 6.40e-01 6.52e-01 6.61e-01 6.95e-01 317s X7 6.53e-04 1.91e+00 8.85e-01 6.91e-01 6.90e-01 6.95e-01 4.40e+00 317s X8 5.56e-06 2.60e-01 1.98e-01 1.29e-01 1.12e-01 1.19e-01 4.12e-01 317s X8 317s X1 5.56e-06 317s X2 2.60e-01 317s X3 1.98e-01 317s X4 1.29e-01 317s X5 1.12e-01 317s X6 1.19e-01 317s X7 4.12e-01 317s X8 1.65e-01 317s -------------------------------------------------------- 317s bushfire 38 5 23.457490 317s Outliers: 15 317s [1] 7 8 9 10 11 29 30 31 32 33 34 35 36 37 38 317s ------------- 317s 317s Call: 317s CovMest(x = x) 317s -> Method: M-Estimates 317s 317s Robust Estimate of Location: 317s V1 V2 V3 V4 V5 317s 107 147 263 215 277 317s 317s Robust Estimate of Covariance: 317s V1 V2 V3 V4 V5 317s V1 775 560 -4179 -925 -759 317s V2 560 478 -2494 -510 -431 317s V3 -4179 -2494 27433 6441 5196 317s V4 -925 -510 6441 1607 1276 317s V5 -759 -431 5196 1276 1020 317s -------------------------------------------------------- 317s ====================================================================== 317s > dogen() 317s > #cat('Time elapsed: ', proc.time(),'\n') # for ``statistical reasons'' 317s > 317s BEGIN TEST tmve4.R 317s 317s R version 4.3.3 (2024-02-29) -- "Angel Food Cake" 317s Copyright (C) 2024 The R Foundation for Statistical Computing 317s Platform: arm-unknown-linux-gnueabihf (32-bit) 317s 317s R is free software and comes with ABSOLUTELY NO WARRANTY. 317s You are welcome to redistribute it under certain conditions. 317s Type 'license()' or 'licence()' for distribution details. 317s 317s R is a collaborative project with many contributors. 317s Type 'contributors()' for more information and 317s 'citation()' on how to cite R or R packages in publications. 317s 317s Type 'demo()' for some demos, 'help()' for on-line help, or 317s 'help.start()' for an HTML browser interface to help. 317s Type 'q()' to quit R. 317s 317s > dodata <- function(nrep=1, time=FALSE, short=FALSE, full=TRUE, method = c("FASTMVE","MASS")){ 317s + ##@bdescr 317s + ## Test the function covMve() on the literature datasets: 317s + ## 317s + ## Call covMve() for all regression datasets available in rrco/robustbasev and print: 317s + ## - execution time (if time == TRUE) 317s + ## - objective fucntion 317s + ## - best subsample found (if short == false) 317s + ## - outliers identified (with cutoff 0.975) (if short == false) 317s + ## - estimated center and covarinance matrix if full == TRUE) 317s + ## 317s + ##@edescr 317s + ## 317s + ##@in nrep : [integer] number of repetitions to use for estimating the 317s + ## (average) execution time 317s + ##@in time : [boolean] whether to evaluate the execution time 317s + ##@in short : [boolean] whether to do short output (i.e. only the 317s + ## objective function value). If short == FALSE, 317s + ## the best subsample and the identified outliers are 317s + ## printed. See also the parameter full below 317s + ##@in full : [boolean] whether to print the estimated cente and covariance matrix 317s + ##@in method : [character] select a method: one of (FASTMCD, MASS) 317s + 317s + domve <- function(x, xname, nrep=1){ 317s + n <- dim(x)[1] 317s + p <- dim(x)[2] 317s + alpha <- 0.5 317s + h <- h.alpha.n(alpha, n, p) 317s + if(method == "MASS"){ 317s + mve <- cov.mve(x, quantile.used=h) 317s + quan <- h #default: floor((n+p+1)/2) 317s + crit <- mve$crit 317s + best <- mve$best 317s + mah <- mahalanobis(x, mve$center, mve$cov) 317s + quantiel <- qchisq(0.975, p) 317s + wt <- as.numeric(mah < quantiel) 317s + } 317s + else{ 317s + mve <- CovMve(x, trace=FALSE) 317s + quan <- as.integer(mve@quan) 317s + crit <- log(mve@crit) 317s + best <- mve@best 317s + wt <- mve@wt 317s + } 317s + 317s + 317s + if(time){ 317s + xtime <- system.time(dorep(x, nrep, method))[1]/nrep 317s + xres <- sprintf("%3d %3d %3d %12.6f %10.3f\n", dim(x)[1], dim(x)[2], quan, crit, xtime) 317s + } 317s + else{ 317s + xres <- sprintf("%3d %3d %3d %12.6f\n", dim(x)[1], dim(x)[2], quan, crit) 317s + } 317s + 317s + lpad<-lname-nchar(xname) 317s + cat(pad.right(xname,lpad), xres) 317s + 317s + if(!short){ 317s + cat("Best subsample: \n") 317s + print(best) 317s + 317s + ibad <- which(wt == 0) 317s + names(ibad) <- NULL 317s + nbad <- length(ibad) 317s + cat("Outliers: ", nbad, "\n") 317s + if(nbad > 0) 317s + print(ibad) 317s + if(full){ 317s + cat("-------------\n") 317s + show(mve) 317s + } 317s + cat("--------------------------------------------------------\n") 317s + } 317s + } 317s + 317s + options(digits = 5) 317s + set.seed(101) # <<-- sub-sampling algorithm now based on R's RNG and seed 317s + 317s + lname <- 20 317s + 317s + ## VT::15.09.2013 - this will render the output independent 317s + ## from the version of the package 317s + suppressPackageStartupMessages(library(rrcov)) 317s + 317s + method <- match.arg(method) 317s + if(method == "MASS") 317s + library(MASS) 317s + 317s + 317s + data(heart) 317s + data(starsCYG) 317s + data(phosphor) 317s + data(stackloss) 317s + data(coleman) 317s + data(salinity) 317s + data(wood) 317s + 317s + data(hbk) 317s + 317s + data(Animals, package = "MASS") 317s + brain <- Animals[c(1:24, 26:25, 27:28),] 317s + data(milk) 317s + data(bushfire) 317s + 317s + tmp <- sys.call() 317s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 317s + 317s + cat("Data Set n p Half LOG(obj) Time\n") 317s + cat("========================================================\n") 317s + domve(heart[, 1:2], data(heart), nrep) 317s + domve(starsCYG, data(starsCYG), nrep) 317s + domve(data.matrix(subset(phosphor, select = -plant)), data(phosphor), nrep) 317s + domve(stack.x, data(stackloss), nrep) 317s + domve(data.matrix(subset(coleman, select = -Y)), data(coleman), nrep) 317s + domve(data.matrix(subset(salinity, select = -Y)), data(salinity), nrep) 317s + domve(data.matrix(subset(wood, select = -y)), data(wood), nrep) 317s + domve(data.matrix(subset(hbk, select = -Y)),data(hbk), nrep) 317s + 317s + domve(brain, "Animals", nrep) 317s + domve(milk, data(milk), nrep) 317s + domve(bushfire, data(bushfire), nrep) 317s + cat("========================================================\n") 317s + } 317s > 317s > dogen <- function(nrep=1, eps=0.49, method=c("FASTMVE", "MASS")){ 317s + 317s + domve <- function(x, nrep=1){ 317s + gc() 317s + xtime <- system.time(dorep(x, nrep, method))[1]/nrep 317s + cat(sprintf("%6d %3d %10.2f\n", dim(x)[1], dim(x)[2], xtime)) 317s + xtime 317s + } 317s + 317s + set.seed(1234) 317s + 317s + ## VT::15.09.2013 - this will render the output independent 317s + ## from the version of the package 317s + suppressPackageStartupMessages(library(rrcov)) 317s + library(MASS) 317s + 317s + method <- match.arg(method) 317s + 317s + ap <- c(2, 5, 10, 20, 30) 317s + an <- c(100, 500, 1000, 10000, 50000) 317s + 317s + tottime <- 0 317s + cat(" n p Time\n") 317s + cat("=====================\n") 317s + for(i in 1:length(an)) { 317s + for(j in 1:length(ap)) { 317s + n <- an[i] 317s + p <- ap[j] 317s + if(5*p <= n){ 317s + xx <- gendata(n, p, eps) 317s + X <- xx$X 317s + tottime <- tottime + domve(X, nrep) 317s + } 317s + } 317s + } 317s + 317s + cat("=====================\n") 317s + cat("Total time: ", tottime*nrep, "\n") 317s + } 317s > 317s > docheck <- function(n, p, eps){ 317s + xx <- gendata(n,p,eps) 317s + mve <- CovMve(xx$X) 317s + check(mve, xx$xind) 317s + } 317s > 317s > check <- function(mcd, xind){ 317s + ## check if mcd is robust w.r.t xind, i.e. check how many of xind 317s + ## did not get zero weight 317s + mymatch <- xind %in% which(mcd@wt == 0) 317s + length(xind) - length(which(mymatch)) 317s + } 317s > 317s > dorep <- function(x, nrep=1, method=c("FASTMVE","MASS")){ 317s + 317s + method <- match.arg(method) 317s + for(i in 1:nrep) 317s + if(method == "MASS") 317s + cov.mve(x) 317s + else 317s + CovMve(x) 317s + } 317s > 317s > #### gendata() #### 317s > # Generates a location contaminated multivariate 317s > # normal sample of n observations in p dimensions 317s > # (1-eps)*Np(0,Ip) + eps*Np(m,Ip) 317s > # where 317s > # m = (b,b,...,b) 317s > # Defaults: eps=0 and b=10 317s > # 317s > gendata <- function(n,p,eps=0,b=10){ 317s + 317s + if(missing(n) || missing(p)) 317s + stop("Please specify (n,p)") 317s + if(eps < 0 || eps >= 0.5) 317s + stop(message="eps must be in [0,0.5)") 317s + X <- mvrnorm(n,rep(0,p),diag(1,nrow=p,ncol=p)) 317s + nbad <- as.integer(eps * n) 317s + if(nbad > 0){ 317s + Xbad <- mvrnorm(nbad,rep(b,p),diag(1,nrow=p,ncol=p)) 317s + xind <- sample(n,nbad) 317s + X[xind,] <- Xbad 317s + } 317s + list(X=X, xind=xind) 317s + } 317s > 317s > pad.right <- function(z, pads) 317s + { 317s + ### Pads spaces to right of text 317s + padding <- paste(rep(" ", pads), collapse = "") 317s + paste(z, padding, sep = "") 317s + } 317s > 317s > whatis<-function(x){ 317s + if(is.data.frame(x)) 317s + cat("Type: data.frame\n") 317s + else if(is.matrix(x)) 317s + cat("Type: matrix\n") 317s + else if(is.vector(x)) 317s + cat("Type: vector\n") 317s + else 317s + cat("Type: don't know\n") 317s + } 317s > 317s > ## VT::15.09.2013 - this will render the output independent 317s > ## from the version of the package 317s > suppressPackageStartupMessages(library(rrcov)) 318s > 318s > dodata() 318s 318s Call: dodata() 318s Data Set n p Half LOG(obj) Time 318s ======================================================== 318s heart 12 2 7 3.827606 318s Best subsample: 318s [1] 1 4 7 8 9 10 11 318s Outliers: 3 318s [1] 2 6 12 318s ------------- 318s 318s Call: 318s CovMve(x = x, trace = FALSE) 318s -> Method: Minimum volume ellipsoid estimator 318s 318s Robust Estimate of Location: 318s height weight 318s 34.9 27.0 318s 318s Robust Estimate of Covariance: 318s height weight 318s height 142 217 318s weight 217 350 318s -------------------------------------------------------- 318s starsCYG 47 2 25 -2.742997 318s Best subsample: 318s [1] 2 4 6 8 12 13 16 23 24 25 26 28 31 32 33 37 38 39 41 42 43 44 45 46 47 318s Outliers: 7 318s [1] 7 9 11 14 20 30 34 318s ------------- 318s 318s Call: 318s CovMve(x = x, trace = FALSE) 318s -> Method: Minimum volume ellipsoid estimator 318s 318s Robust Estimate of Location: 318s log.Te log.light 318s 4.41 4.93 318s 318s Robust Estimate of Covariance: 318s log.Te log.light 318s log.Te 0.0173 0.0578 318s log.light 0.0578 0.3615 318s -------------------------------------------------------- 318s phosphor 18 2 10 4.443101 318s Best subsample: 318s [1] 3 5 8 9 11 12 13 14 15 17 318s Outliers: 3 318s [1] 1 6 10 318s ------------- 318s 318s Call: 318s CovMve(x = x, trace = FALSE) 318s -> Method: Minimum volume ellipsoid estimator 318s 318s Robust Estimate of Location: 318s inorg organic 318s 15.2 39.4 318s 318s Robust Estimate of Covariance: 318s inorg organic 318s inorg 188 230 318s organic 230 339 318s -------------------------------------------------------- 318s stackloss 21 3 12 3.327582 318s Best subsample: 318s [1] 4 5 6 7 8 9 10 11 12 13 14 20 318s Outliers: 3 318s [1] 1 2 3 318s ------------- 318s 318s Call: 318s CovMve(x = x, trace = FALSE) 318s -> Method: Minimum volume ellipsoid estimator 318s 318s Robust Estimate of Location: 318s Air.Flow Water.Temp Acid.Conc. 318s 56.7 20.2 85.5 318s 318s Robust Estimate of Covariance: 318s Air.Flow Water.Temp Acid.Conc. 318s Air.Flow 34.31 11.07 23.54 318s Water.Temp 11.07 9.23 7.85 318s Acid.Conc. 23.54 7.85 47.35 318s -------------------------------------------------------- 318s coleman 20 5 13 2.065143 318s Best subsample: 318s [1] 1 3 4 5 7 8 11 14 16 17 18 19 20 318s Outliers: 5 318s [1] 2 6 9 10 13 318s ------------- 318s 318s Call: 318s CovMve(x = x, trace = FALSE) 318s -> Method: Minimum volume ellipsoid estimator 318s 318s Robust Estimate of Location: 318s salaryP fatherWc sstatus teacherSc motherLev 318s 2.79 44.26 3.59 25.08 6.38 318s 318s Robust Estimate of Covariance: 318s salaryP fatherWc sstatus teacherSc motherLev 318s salaryP 0.2920 1.1188 2.0421 0.3487 0.0748 318s fatherWc 1.1188 996.7540 338.6587 7.1673 23.1783 318s sstatus 2.0421 338.6587 148.2501 4.4894 7.8135 318s teacherSc 0.3487 7.1673 4.4894 0.9082 0.3204 318s motherLev 0.0748 23.1783 7.8135 0.3204 0.6024 318s -------------------------------------------------------- 318s salinity 28 3 16 2.002555 318s Best subsample: 318s [1] 1 7 8 9 12 13 14 18 19 20 21 22 25 26 27 28 318s Outliers: 5 318s [1] 5 11 16 23 24 318s ------------- 318s 318s Call: 318s CovMve(x = x, trace = FALSE) 318s -> Method: Minimum volume ellipsoid estimator 318s 318s Robust Estimate of Location: 318s X1 X2 X3 318s 10.2 3.1 22.4 318s 318s Robust Estimate of Covariance: 318s X1 X2 X3 318s X1 14.387 1.153 -4.072 318s X2 1.153 5.005 -0.954 318s X3 -4.072 -0.954 2.222 318s -------------------------------------------------------- 318s wood 20 5 13 -5.471407 318s Best subsample: 318s [1] 1 2 3 5 9 10 12 13 14 15 17 18 20 318s Outliers: 5 318s [1] 4 6 8 11 19 318s ------------- 318s 318s Call: 318s CovMve(x = x, trace = FALSE) 318s -> Method: Minimum volume ellipsoid estimator 318s 318s Robust Estimate of Location: 318s x1 x2 x3 x4 x5 318s 0.576 0.123 0.531 0.538 0.889 318s 318s Robust Estimate of Covariance: 318s x1 x2 x3 x4 x5 318s x1 7.45e-03 1.11e-03 1.83e-03 -2.90e-05 -5.65e-04 318s x2 1.11e-03 3.11e-04 7.68e-04 3.37e-05 3.85e-05 318s x3 1.83e-03 7.68e-04 4.30e-03 -9.96e-04 -6.27e-05 318s x4 -2.90e-05 3.37e-05 -9.96e-04 3.02e-03 1.91e-03 318s x5 -5.65e-04 3.85e-05 -6.27e-05 1.91e-03 2.25e-03 318s -------------------------------------------------------- 318s hbk 75 3 39 1.096831 318s Best subsample: 318s [1] 15 17 18 19 20 21 24 27 28 30 32 33 35 36 40 41 42 43 44 46 48 49 50 53 54 318s [26] 55 56 58 59 64 65 66 67 70 71 72 73 74 75 318s Outliers: 14 318s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 318s ------------- 318s 318s Call: 318s CovMve(x = x, trace = FALSE) 318s -> Method: Minimum volume ellipsoid estimator 318s 318s Robust Estimate of Location: 318s X1 X2 X3 318s 1.48 1.86 1.73 318s 318s Robust Estimate of Covariance: 318s X1 X2 X3 318s X1 1.695 0.230 0.265 318s X2 0.230 1.679 0.119 318s X3 0.265 0.119 1.683 318s -------------------------------------------------------- 318s Animals 28 2 15 8.945423 318s Best subsample: 318s [1] 1 3 4 5 10 11 17 18 21 22 23 24 26 27 28 318s Outliers: 9 318s [1] 2 6 7 9 12 14 15 16 25 318s ------------- 318s 318s Call: 318s CovMve(x = x, trace = FALSE) 318s -> Method: Minimum volume ellipsoid estimator 318s 318s Robust Estimate of Location: 318s body brain 318s 48.3 127.3 318s 318s Robust Estimate of Covariance: 318s body brain 318s body 10767 16872 318s brain 16872 46918 318s -------------------------------------------------------- 318s milk 86 8 47 -1.160085 318s Best subsample: 318s [1] 4 5 7 8 9 10 11 19 21 22 23 24 26 30 31 33 34 35 36 37 38 39 42 43 45 318s [26] 46 54 56 57 59 60 61 62 63 64 65 66 67 69 72 76 78 79 81 82 83 85 318s Outliers: 18 318s [1] 1 2 3 12 13 14 15 16 17 18 20 27 41 44 47 70 74 75 318s ------------- 318s 318s Call: 318s CovMve(x = x, trace = FALSE) 318s -> Method: Minimum volume ellipsoid estimator 318s 318s Robust Estimate of Location: 318s X1 X2 X3 X4 X5 X6 X7 X8 318s 1.03 35.91 33.02 26.08 25.06 24.99 122.93 14.38 318s 318s Robust Estimate of Covariance: 318s X1 X2 X3 X4 X5 X6 X7 318s X1 6.00e-07 1.51e-04 3.34e-04 3.09e-04 2.82e-04 2.77e-04 1.09e-03 318s X2 1.51e-04 2.03e+00 3.83e-01 3.04e-01 2.20e-01 3.51e-01 2.18e+00 318s X3 3.34e-04 3.83e-01 1.58e+00 1.21e+00 1.18e+00 1.20e+00 1.60e+00 318s X4 3.09e-04 3.04e-01 1.21e+00 9.82e-01 9.39e-01 9.53e-01 1.36e+00 318s X5 2.82e-04 2.20e-01 1.18e+00 9.39e-01 9.67e-01 9.52e-01 1.34e+00 318s X6 2.77e-04 3.51e-01 1.20e+00 9.53e-01 9.52e-01 9.92e-01 1.38e+00 318s X7 1.09e-03 2.18e+00 1.60e+00 1.36e+00 1.34e+00 1.38e+00 6.73e+00 318s X8 3.33e-05 2.92e-01 2.65e-01 1.83e-01 1.65e-01 1.76e-01 5.64e-01 318s X8 318s X1 3.33e-05 318s X2 2.92e-01 318s X3 2.65e-01 318s X4 1.83e-01 318s X5 1.65e-01 318s X6 1.76e-01 318s X7 5.64e-01 318s X8 1.80e-01 318s -------------------------------------------------------- 318s bushfire 38 5 22 5.644315 318s Best subsample: 318s [1] 1 2 3 4 5 6 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 318s Outliers: 15 318s [1] 7 8 9 10 11 29 30 31 32 33 34 35 36 37 38 318s ------------- 318s 318s Call: 318s CovMve(x = x, trace = FALSE) 318s -> Method: Minimum volume ellipsoid estimator 318s 318s Robust Estimate of Location: 318s V1 V2 V3 V4 V5 318s 107 147 263 215 277 318s 318s Robust Estimate of Covariance: 318s V1 V2 V3 V4 V5 318s V1 519 375 -2799 -619 -509 318s V2 375 320 -1671 -342 -289 318s V3 -2799 -1671 18373 4314 3480 318s V4 -619 -342 4314 1076 854 318s V5 -509 -289 3480 854 683 318s -------------------------------------------------------- 318s ======================================================== 318s > 318s BEGIN TEST togk4.R 318s 318s R version 4.3.3 (2024-02-29) -- "Angel Food Cake" 318s Copyright (C) 2024 The R Foundation for Statistical Computing 318s Platform: arm-unknown-linux-gnueabihf (32-bit) 318s 318s R is free software and comes with ABSOLUTELY NO WARRANTY. 318s You are welcome to redistribute it under certain conditions. 318s Type 'license()' or 'licence()' for distribution details. 318s 318s R is a collaborative project with many contributors. 318s Type 'contributors()' for more information and 318s 'citation()' on how to cite R or R packages in publications. 318s 318s Type 'demo()' for some demos, 'help()' for on-line help, or 318s 'help.start()' for an HTML browser interface to help. 318s Type 'q()' to quit R. 318s 318s > ## VT::15.09.2013 - this will render the output independent 318s > ## from the version of the package 318s > suppressPackageStartupMessages(library(rrcov)) 318s > 318s > ## VT::14.01.2020 318s > ## On some platforms minor differences are shown - use 318s > ## IGNORE_RDIFF_BEGIN 318s > ## IGNORE_RDIFF_END 318s > 318s > dodata <- function(nrep=1, time=FALSE, short=FALSE, full=TRUE, method = c("FASTMCD","MASS")){ 318s + domcd <- function(x, xname, nrep=1){ 318s + n <- dim(x)[1] 318s + p <- dim(x)[2] 318s + 318s + mcd<-CovOgk(x) 318s + 318s + xres <- sprintf("%3d %3d\n", dim(x)[1], dim(x)[2]) 318s + 318s + lpad<-lname-nchar(xname) 318s + cat(pad.right(xname,lpad), xres) 318s + 318s + dist <- getDistance(mcd) 318s + quantiel <- qchisq(0.975, p) 318s + ibad <- which(dist >= quantiel) 318s + names(ibad) <- NULL 318s + nbad <- length(ibad) 318s + cat("Outliers: ",nbad,"\n") 318s + if(nbad > 0) 318s + print(ibad) 318s + cat("-------------\n") 318s + show(mcd) 318s + cat("--------------------------------------------------------\n") 318s + } 318s + 318s + lname <- 20 318s + 318s + ## VT::15.09.2013 - this will render the output independent 318s + ## from the version of the package 318s + suppressPackageStartupMessages(library(rrcov)) 318s + 318s + method <- match.arg(method) 318s + 318s + data(heart) 318s + data(starsCYG) 318s + data(phosphor) 318s + data(stackloss) 318s + data(coleman) 318s + data(salinity) 318s + data(wood) 318s + 318s + data(hbk) 318s + 318s + data(Animals, package = "MASS") 318s + brain <- Animals[c(1:24, 26:25, 27:28),] 318s + data(milk) 318s + data(bushfire) 318s + 318s + tmp <- sys.call() 318s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 318s + 318s + cat("Data Set n p Half LOG(obj) Time\n") 318s + cat("========================================================\n") 318s + domcd(heart[, 1:2], data(heart), nrep) 318s + ## This will not work within the function, of course 318s + ## - comment it out 318s + ## IGNORE_RDIFF_BEGIN 318s + ## domcd(starsCYG,data(starsCYG), nrep) 318s + ## IGNORE_RDIFF_END 318s + domcd(data.matrix(subset(phosphor, select = -plant)), data(phosphor), nrep) 318s + domcd(stack.x,data(stackloss), nrep) 318s + domcd(data.matrix(subset(coleman, select = -Y)), data(coleman), nrep) 318s + domcd(data.matrix(subset(salinity, select = -Y)), data(salinity), nrep) 318s + ## IGNORE_RDIFF_BEGIN 318s + ## domcd(data.matrix(subset(wood, select = -y)), data(wood), nrep) 318s + ## IGNORE_RDIFF_END 318s + domcd(data.matrix(subset(hbk, select = -Y)), data(hbk), nrep) 318s + 318s + domcd(brain, "Animals", nrep) 318s + domcd(milk, data(milk), nrep) 318s + domcd(bushfire, data(bushfire), nrep) 318s + cat("========================================================\n") 318s + } 318s > 318s > pad.right <- function(z, pads) 318s + { 318s + ### Pads spaces to right of text 318s + padding <- paste(rep(" ", pads), collapse = "") 318s + paste(z, padding, sep = "") 318s + } 318s > 318s > dodata() 319s 319s Call: dodata() 319s Data Set n p Half LOG(obj) Time 319s ======================================================== 319s heart 12 2 319s Outliers: 5 319s [1] 2 6 8 10 12 319s ------------- 319s 319s Call: 319s CovOgk(x = x) 319s -> Method: Orthogonalized Gnanadesikan-Kettenring Estimator 319s 319s Robust Estimate of Location: 319s height weight 319s 39.76 35.71 319s 319s Robust Estimate of Covariance: 319s height weight 319s height 15.88 32.07 319s weight 32.07 78.28 319s -------------------------------------------------------- 319s phosphor 18 2 319s Outliers: 2 319s [1] 1 6 319s ------------- 319s 319s Call: 319s CovOgk(x = x) 319s -> Method: Orthogonalized Gnanadesikan-Kettenring Estimator 319s 319s Robust Estimate of Location: 319s inorg organic 319s 13.31 40.00 319s 319s Robust Estimate of Covariance: 319s inorg organic 319s inorg 92.82 93.24 319s organic 93.24 152.62 319s -------------------------------------------------------- 319s stackloss 21 3 319s Outliers: 2 319s [1] 1 2 319s ------------- 319s 319s Call: 319s CovOgk(x = x) 319s -> Method: Orthogonalized Gnanadesikan-Kettenring Estimator 319s 319s Robust Estimate of Location: 319s Air.Flow Water.Temp Acid.Conc. 319s 57.72 20.50 85.78 319s 319s Robust Estimate of Covariance: 319s Air.Flow Water.Temp Acid.Conc. 319s Air.Flow 38.423 11.306 18.605 319s Water.Temp 11.306 6.806 5.889 319s Acid.Conc. 18.605 5.889 29.840 319s -------------------------------------------------------- 319s coleman 20 5 319s Outliers: 3 319s [1] 1 6 10 319s ------------- 319s 319s Call: 319s CovOgk(x = x) 319s -> Method: Orthogonalized Gnanadesikan-Kettenring Estimator 319s 319s Robust Estimate of Location: 319s salaryP fatherWc sstatus teacherSc motherLev 319s 2.723 43.202 2.912 25.010 6.290 319s 319s Robust Estimate of Covariance: 319s salaryP fatherWc sstatus teacherSc motherLev 319s salaryP 0.12867 2.80048 0.92026 0.15118 0.06413 319s fatherWc 2.80048 678.72549 227.36415 9.30826 16.15102 319s sstatus 0.92026 227.36415 101.39094 3.38013 5.63283 319s teacherSc 0.15118 9.30826 3.38013 0.57112 0.27701 319s motherLev 0.06413 16.15102 5.63283 0.27701 0.44801 319s -------------------------------------------------------- 319s salinity 28 3 319s Outliers: 3 319s [1] 3 5 16 319s ------------- 319s 319s Call: 319s CovOgk(x = x) 319s -> Method: Orthogonalized Gnanadesikan-Kettenring Estimator 319s 319s Robust Estimate of Location: 319s X1 X2 X3 319s 10.74 2.68 22.99 319s 319s Robust Estimate of Covariance: 319s X1 X2 X3 319s X1 8.1047 -0.6365 -0.4720 319s X2 -0.6365 3.0976 -1.3520 319s X3 -0.4720 -1.3520 2.3648 319s -------------------------------------------------------- 319s hbk 75 3 319s Outliers: 14 319s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 319s ------------- 319s 319s Call: 319s CovOgk(x = x) 319s -> Method: Orthogonalized Gnanadesikan-Kettenring Estimator 319s 319s Robust Estimate of Location: 319s X1 X2 X3 319s 1.538 1.780 1.687 319s 319s Robust Estimate of Covariance: 319s X1 X2 X3 319s X1 1.11350 0.04992 0.11541 319s X2 0.04992 1.13338 0.13843 319s X3 0.11541 0.13843 1.05261 319s -------------------------------------------------------- 319s Animals 28 2 319s Outliers: 12 319s [1] 2 6 7 9 12 14 15 16 17 24 25 28 319s ------------- 319s 319s Call: 319s CovOgk(x = x) 319s -> Method: Orthogonalized Gnanadesikan-Kettenring Estimator 319s 319s Robust Estimate of Location: 319s body brain 319s 39.65 105.83 319s 319s Robust Estimate of Covariance: 319s body brain 319s body 3981 7558 319s brain 7558 16594 319s -------------------------------------------------------- 319s milk 86 8 319s Outliers: 22 319s [1] 1 2 3 11 12 13 14 15 16 17 18 20 27 41 44 47 50 70 74 75 77 85 319s ------------- 319s 319s Call: 319s CovOgk(x = x) 319s -> Method: Orthogonalized Gnanadesikan-Kettenring Estimator 319s 319s Robust Estimate of Location: 319s X1 X2 X3 X4 X5 X6 X7 X8 319s 1.03 35.80 33.10 26.15 25.13 25.06 123.06 14.39 319s 319s Robust Estimate of Covariance: 319s X1 X2 X3 X4 X5 X6 X7 319s X1 4.074e-07 5.255e-05 1.564e-04 1.506e-04 1.340e-04 1.234e-04 5.308e-04 319s X2 5.255e-05 1.464e+00 3.425e-01 2.465e-01 1.847e-01 2.484e-01 1.459e+00 319s X3 1.564e-04 3.425e-01 1.070e+00 7.834e-01 7.665e-01 7.808e-01 7.632e-01 319s X4 1.506e-04 2.465e-01 7.834e-01 6.178e-01 5.868e-01 5.959e-01 5.923e-01 319s X5 1.340e-04 1.847e-01 7.665e-01 5.868e-01 6.124e-01 5.967e-01 5.868e-01 319s X6 1.234e-04 2.484e-01 7.808e-01 5.959e-01 5.967e-01 6.253e-01 5.819e-01 319s X7 5.308e-04 1.459e+00 7.632e-01 5.923e-01 5.868e-01 5.819e-01 3.535e+00 319s X8 1.990e-07 1.851e-01 1.861e-01 1.210e-01 1.041e-01 1.116e-01 3.046e-01 319s X8 319s X1 1.990e-07 319s X2 1.851e-01 319s X3 1.861e-01 319s X4 1.210e-01 319s X5 1.041e-01 319s X6 1.116e-01 319s X7 3.046e-01 319s X8 1.292e-01 319s -------------------------------------------------------- 319s bushfire 38 5 319s Outliers: 17 319s [1] 7 8 9 10 11 12 28 29 30 31 32 33 34 35 36 37 38 319s ------------- 319s 319s Call: 319s CovOgk(x = x) 319s -> Method: Orthogonalized Gnanadesikan-Kettenring Estimator 319s 319s Robust Estimate of Location: 319s V1 V2 V3 V4 V5 319s 104.5 146.0 275.6 217.8 279.3 319s 319s Robust Estimate of Covariance: 319s V1 V2 V3 V4 V5 319s V1 266.8 203.2 -1380.7 -311.1 -252.2 319s V2 203.2 178.4 -910.9 -185.9 -155.9 319s V3 -1380.7 -910.9 8279.7 2035.5 1615.4 319s V4 -311.1 -185.9 2035.5 536.5 418.6 319s V5 -252.2 -155.9 1615.4 418.6 329.2 319s -------------------------------------------------------- 319s ======================================================== 319s > 319s BEGIN TEST tqda.R 319s 319s R version 4.3.3 (2024-02-29) -- "Angel Food Cake" 319s Copyright (C) 2024 The R Foundation for Statistical Computing 319s Platform: arm-unknown-linux-gnueabihf (32-bit) 319s 319s R is free software and comes with ABSOLUTELY NO WARRANTY. 319s You are welcome to redistribute it under certain conditions. 319s Type 'license()' or 'licence()' for distribution details. 319s 319s R is a collaborative project with many contributors. 319s Type 'contributors()' for more information and 319s 'citation()' on how to cite R or R packages in publications. 319s 319s Type 'demo()' for some demos, 'help()' for on-line help, or 319s 'help.start()' for an HTML browser interface to help. 319s Type 'q()' to quit R. 319s 319s > ## VT::15.09.2013 - this will render the output independent 319s > ## from the version of the package 319s > suppressPackageStartupMessages(library(rrcov)) 319s > 319s > dodata <- function(method) { 319s + 319s + options(digits = 5) 319s + set.seed(101) # <<-- sub-sampling algorithm now based on R's RNG and seed 319s + 319s + tmp <- sys.call() 319s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 319s + cat("===================================================\n") 319s + 319s + data(hemophilia); show(QdaCov(as.factor(gr)~., data=hemophilia, method=method)) 319s + data(anorexia, package="MASS"); show(QdaCov(Treat~., data=anorexia, method=method)) 319s + data(Pima.tr, package="MASS"); show(QdaCov(type~., data=Pima.tr, method=method)) 319s + data(iris); # show(QdaCov(Species~., data=iris, method=method)) 319s + data(crabs, package="MASS"); # show(QdaCov(sp~., data=crabs, method=method)) 319s + 319s + show(QdaClassic(as.factor(gr)~., data=hemophilia)) 319s + show(QdaClassic(Treat~., data=anorexia)) 319s + show(QdaClassic(type~., data=Pima.tr)) 319s + show(QdaClassic(Species~., data=iris)) 319s + ## show(QdaClassic(sp~., data=crabs)) 319s + cat("===================================================\n") 319s + } 319s > 319s > 319s > ## -- now do it: 319s > dodata(method="mcd") 319s 319s Call: dodata(method = "mcd") 319s =================================================== 319s Call: 319s QdaCov(as.factor(gr) ~ ., data = hemophilia, method = method) 319s 319s Prior Probabilities of Groups: 319s carrier normal 319s 0.6 0.4 319s 319s Group means: 319s AHFactivity AHFantigen 319s carrier -0.30795 -0.0059911 319s normal -0.12920 -0.0603000 319s 319s Group: carrier 319s AHFactivity AHFantigen 319s AHFactivity 0.023784 0.015376 319s AHFantigen 0.015376 0.024035 319s 319s Group: normal 319s AHFactivity AHFantigen 319s AHFactivity 0.0057546 0.0042606 319s AHFantigen 0.0042606 0.0084914 319s Call: 319s QdaCov(Treat ~ ., data = anorexia, method = method) 319s 319s Prior Probabilities of Groups: 319s CBT Cont FT 319s 0.40278 0.36111 0.23611 319s 319s Group means: 319s Prewt Postwt 319s CBT 82.633 82.950 319s Cont 81.558 81.108 319s FT 84.331 94.762 319s 319s Group: CBT 319s Prewt Postwt 319s Prewt 9.8671 8.6611 319s Postwt 8.6611 11.8966 319s 319s Group: Cont 319s Prewt Postwt 319s Prewt 32.5705 -4.3705 319s Postwt -4.3705 22.5079 319s 319s Group: FT 319s Prewt Postwt 319s Prewt 33.056 10.814 319s Postwt 10.814 14.265 319s Call: 319s QdaCov(type ~ ., data = Pima.tr, method = method) 319s 319s Prior Probabilities of Groups: 319s No Yes 319s 0.66 0.34 319s 319s Group means: 319s npreg glu bp skin bmi ped age 319s No 1.8602 107.69 67.344 25.29 30.642 0.40777 24.667 319s Yes 5.3167 145.85 74.283 31.80 34.095 0.49533 37.883 319s 319s Group: No 319s npreg glu bp skin bmi ped age 319s npreg 2.221983 -0.18658 1.86507 -0.44427 0.1725348 -0.0683616 2.63439 319s glu -0.186582 471.88789 45.28021 8.95404 30.6551510 -0.6359899 3.50218 319s bp 1.865066 45.28021 110.09787 26.11192 14.4739180 -0.2104074 13.23392 319s skin -0.444272 8.95404 26.11192 118.30521 52.3115719 -0.2995751 8.65861 319s bmi 0.172535 30.65515 14.47392 52.31157 43.3140415 0.0079866 6.75720 319s ped -0.068362 -0.63599 -0.21041 -0.29958 0.0079866 0.0587710 -0.18683 319s age 2.634387 3.50218 13.23392 8.65861 6.7572019 -0.1868284 12.09493 319s 319s Group: Yes 319s npreg glu bp skin bmi ped age 319s npreg 17.875215 -13.740021 9.03580 4.498580 1.787458 0.079504 26.92283 319s glu -13.740021 917.719003 55.30399 27.976265 10.755113 0.092673 38.94970 319s bp 9.035798 55.303991 129.97953 34.130200 10.104275 0.198342 32.95351 319s skin 4.498580 27.976265 34.13020 101.842647 30.297210 0.064739 3.59427 319s bmi 1.787458 10.755113 10.10428 30.297210 22.529467 0.084369 -6.64317 319s ped 0.079504 0.092673 0.19834 0.064739 0.084369 0.066667 0.11199 319s age 26.922828 38.949697 32.95351 3.594266 -6.643165 0.111992 143.69752 319s Call: 319s QdaClassic(as.factor(gr) ~ ., data = hemophilia) 319s 319s Prior Probabilities of Groups: 319s carrier normal 319s 0.6 0.4 319s 319s Group means: 319s AHFactivity AHFantigen 319s carrier -0.30795 -0.0059911 319s normal -0.13487 -0.0778567 319s 319s Group: carrier 319s AHFactivity AHFantigen 319s AHFactivity 0.023784 0.015376 319s AHFantigen 0.015376 0.024035 319s 319s Group: normal 319s AHFactivity AHFantigen 319s AHFactivity 0.020897 0.015515 319s AHFantigen 0.015515 0.017920 319s Call: 319s QdaClassic(Treat ~ ., data = anorexia) 319s 319s Prior Probabilities of Groups: 319s CBT Cont FT 319s 0.40278 0.36111 0.23611 319s 319s Group means: 319s Prewt Postwt 319s CBT 82.690 85.697 319s Cont 81.558 81.108 319s FT 83.229 90.494 319s 319s Group: CBT 319s Prewt Postwt 319s Prewt 23.479 19.910 319s Postwt 19.910 69.755 319s 319s Group: Cont 319s Prewt Postwt 319s Prewt 32.5705 -4.3705 319s Postwt -4.3705 22.5079 319s 319s Group: FT 319s Prewt Postwt 319s Prewt 25.167 22.883 319s Postwt 22.883 71.827 319s Call: 319s QdaClassic(type ~ ., data = Pima.tr) 319s 319s Prior Probabilities of Groups: 319s No Yes 319s 0.66 0.34 319s 319s Group means: 319s npreg glu bp skin bmi ped age 319s No 2.9167 113.11 69.545 27.205 31.074 0.41548 29.235 319s Yes 4.8382 145.06 74.588 33.118 34.709 0.54866 37.691 319s 319s Group: No 319s npreg glu bp skin bmi ped age 319s npreg 7.878499 10.77226 8.190840 2.910305 -0.035751 -0.207341 16.82888 319s glu 10.772265 709.56118 81.430257 13.237682 19.037867 -0.518609 59.01307 319s bp 8.190840 81.43026 122.845246 33.879944 16.612630 -0.077183 46.78695 319s skin 2.910305 13.23768 33.879944 119.446391 50.125920 0.074282 18.47068 319s bmi -0.035751 19.03787 16.612630 50.125920 40.722996 0.145242 6.99999 319s ped -0.207341 -0.51861 -0.077183 0.074282 0.145242 0.071388 -0.53814 319s age 16.828880 59.01307 46.786954 18.470680 6.999988 -0.538138 91.08183 319s 319s Group: Yes 319s npreg glu bp skin bmi ped age 319s npreg 15.77941 -8.199298 6.42493 -0.51800 -1.03288 -0.133011 21.93437 319s glu -8.19930 907.250219 23.71115 87.51536 9.98156 -0.082159 58.12291 319s bp 6.42493 23.711150 134.18613 19.70588 5.15891 -0.795470 26.30378 319s skin -0.51800 87.515364 19.70588 151.32924 28.28551 0.347951 26.67867 319s bmi -1.03288 9.981563 5.15891 28.28551 23.14529 0.457694 -7.91216 319s ped -0.13301 -0.082159 -0.79547 0.34795 0.45769 0.128883 -0.41737 319s age 21.93437 58.122915 26.30378 26.67867 -7.91216 -0.417375 131.79873 319s Call: 319s QdaClassic(Species ~ ., data = iris) 319s 319s Prior Probabilities of Groups: 319s setosa versicolor virginica 319s 0.33333 0.33333 0.33333 319s 319s Group means: 319s Sepal.Length Sepal.Width Petal.Length Petal.Width 319s setosa 5.006 3.428 1.462 0.246 319s versicolor 5.936 2.770 4.260 1.326 319s virginica 6.588 2.974 5.552 2.026 319s 319s Group: setosa 319s Sepal.Length Sepal.Width Petal.Length Petal.Width 319s Sepal.Length 0.124249 0.099216 0.0163551 0.0103306 319s Sepal.Width 0.099216 0.143690 0.0116980 0.0092980 319s Petal.Length 0.016355 0.011698 0.0301592 0.0060694 319s Petal.Width 0.010331 0.009298 0.0060694 0.0111061 319s 319s Group: versicolor 319s Sepal.Length Sepal.Width Petal.Length Petal.Width 319s Sepal.Length 0.266433 0.085184 0.182898 0.055780 319s Sepal.Width 0.085184 0.098469 0.082653 0.041204 319s Petal.Length 0.182898 0.082653 0.220816 0.073102 319s Petal.Width 0.055780 0.041204 0.073102 0.039106 319s 319s Group: virginica 319s Sepal.Length Sepal.Width Petal.Length Petal.Width 319s Sepal.Length 0.404343 0.093763 0.303290 0.049094 319s Sepal.Width 0.093763 0.104004 0.071380 0.047629 319s Petal.Length 0.303290 0.071380 0.304588 0.048824 319s Petal.Width 0.049094 0.047629 0.048824 0.075433 319s =================================================== 319s > dodata(method="m") 319s 319s Call: dodata(method = "m") 319s =================================================== 319s Call: 319s QdaCov(as.factor(gr) ~ ., data = hemophilia, method = method) 319s 319s Prior Probabilities of Groups: 319s carrier normal 319s 0.6 0.4 319s 319s Group means: 319s AHFactivity AHFantigen 319s carrier -0.29810 -0.0028222 319s normal -0.13081 -0.0675283 319s 319s Group: carrier 319s AHFactivity AHFantigen 319s AHFactivity 0.026018 0.017653 319s AHFantigen 0.017653 0.030128 319s 319s Group: normal 319s AHFactivity AHFantigen 319s AHFactivity 0.0081933 0.0065737 319s AHFantigen 0.0065737 0.0118565 319s Call: 319s QdaCov(Treat ~ ., data = anorexia, method = method) 319s 319s Prior Probabilities of Groups: 319s CBT Cont FT 319s 0.40278 0.36111 0.23611 319s 319s Group means: 319s Prewt Postwt 319s CBT 82.436 82.631 319s Cont 81.559 80.272 319s FT 85.120 94.657 319s 319s Group: CBT 319s Prewt Postwt 319s Prewt 23.630 25.128 319s Postwt 25.128 38.142 319s 319s Group: Cont 319s Prewt Postwt 319s Prewt 35.8824 -8.2405 319s Postwt -8.2405 23.7416 319s 319s Group: FT 319s Prewt Postwt 319s Prewt 33.805 18.206 319s Postwt 18.206 24.639 320s Call: 320s QdaCov(type ~ ., data = Pima.tr, method = method) 320s 320s Prior Probabilities of Groups: 320s No Yes 320s 0.66 0.34 320s 320s Group means: 320s npreg glu bp skin bmi ped age 320s No 2.5225 111.26 68.081 26.640 30.801 0.40452 26.306 320s Yes 5.0702 144.32 75.088 31.982 34.267 0.47004 37.140 320s 320s Group: No 320s npreg glu bp skin bmi ped age 320s npreg 5.74219 14.47051 6.63766 4.98559 0.826570 -0.128106 10.71303 320s glu 14.47051 591.08717 68.81219 44.73311 40.658393 -0.545716 38.01918 320s bp 6.63766 68.81219 121.02716 30.46466 16.789801 -0.320065 25.29371 320s skin 4.98559 44.73311 30.46466 136.52176 56.604475 -0.250711 19.73259 320s bmi 0.82657 40.65839 16.78980 56.60447 47.859747 0.046358 6.94523 320s ped -0.12811 -0.54572 -0.32006 -0.25071 0.046358 0.061485 -0.34653 320s age 10.71303 38.01918 25.29371 19.73259 6.945227 -0.346527 35.66101 320s 320s Group: Yes 320s npreg glu bp skin bmi ped age 320s npreg 15.98861 -1.2430 10.48556 9.05947 2.425316 0.162453 30.149872 320s glu -1.24304 867.1076 46.43838 25.92297 5.517382 1.044360 31.152650 320s bp 10.48556 46.4384 130.12536 17.21407 6.343942 -0.235121 41.091494 320s skin 9.05947 25.9230 17.21407 85.96314 26.089017 0.170061 14.562516 320s bmi 2.42532 5.5174 6.34394 26.08902 22.051976 0.097786 -5.297971 320s ped 0.16245 1.0444 -0.23512 0.17006 0.097786 0.057112 0.055286 320s age 30.14987 31.1527 41.09149 14.56252 -5.297971 0.055286 137.440921 320s Call: 320s QdaClassic(as.factor(gr) ~ ., data = hemophilia) 320s 320s Prior Probabilities of Groups: 320s carrier normal 320s 0.6 0.4 320s 320s Group means: 320s AHFactivity AHFantigen 320s carrier -0.30795 -0.0059911 320s normal -0.13487 -0.0778567 320s 320s Group: carrier 320s AHFactivity AHFantigen 320s AHFactivity 0.023784 0.015376 320s AHFantigen 0.015376 0.024035 320s 320s Group: normal 320s AHFactivity AHFantigen 320s AHFactivity 0.020897 0.015515 320s AHFantigen 0.015515 0.017920 320s Call: 320s QdaClassic(Treat ~ ., data = anorexia) 320s 320s Prior Probabilities of Groups: 320s CBT Cont FT 320s 0.40278 0.36111 0.23611 320s 320s Group means: 320s Prewt Postwt 320s CBT 82.690 85.697 320s Cont 81.558 81.108 320s FT 83.229 90.494 320s 320s Group: CBT 320s Prewt Postwt 320s Prewt 23.479 19.910 320s Postwt 19.910 69.755 320s 320s Group: Cont 320s Prewt Postwt 320s Prewt 32.5705 -4.3705 320s Postwt -4.3705 22.5079 320s 320s Group: FT 320s Prewt Postwt 320s Prewt 25.167 22.883 320s Postwt 22.883 71.827 320s Call: 320s QdaClassic(type ~ ., data = Pima.tr) 320s 320s Prior Probabilities of Groups: 320s No Yes 320s 0.66 0.34 320s 320s Group means: 320s npreg glu bp skin bmi ped age 320s No 2.9167 113.11 69.545 27.205 31.074 0.41548 29.235 320s Yes 4.8382 145.06 74.588 33.118 34.709 0.54866 37.691 320s 320s Group: No 320s npreg glu bp skin bmi ped age 320s npreg 7.878499 10.77226 8.190840 2.910305 -0.035751 -0.207341 16.82888 320s glu 10.772265 709.56118 81.430257 13.237682 19.037867 -0.518609 59.01307 320s bp 8.190840 81.43026 122.845246 33.879944 16.612630 -0.077183 46.78695 320s skin 2.910305 13.23768 33.879944 119.446391 50.125920 0.074282 18.47068 320s bmi -0.035751 19.03787 16.612630 50.125920 40.722996 0.145242 6.99999 320s ped -0.207341 -0.51861 -0.077183 0.074282 0.145242 0.071388 -0.53814 320s age 16.828880 59.01307 46.786954 18.470680 6.999988 -0.538138 91.08183 320s 320s Group: Yes 320s npreg glu bp skin bmi ped age 320s npreg 15.77941 -8.199298 6.42493 -0.51800 -1.03288 -0.133011 21.93437 320s glu -8.19930 907.250219 23.71115 87.51536 9.98156 -0.082159 58.12291 320s bp 6.42493 23.711150 134.18613 19.70588 5.15891 -0.795470 26.30378 320s skin -0.51800 87.515364 19.70588 151.32924 28.28551 0.347951 26.67867 320s bmi -1.03288 9.981563 5.15891 28.28551 23.14529 0.457694 -7.91216 320s ped -0.13301 -0.082159 -0.79547 0.34795 0.45769 0.128883 -0.41737 320s age 21.93437 58.122915 26.30378 26.67867 -7.91216 -0.417375 131.79873 320s Call: 320s QdaClassic(Species ~ ., data = iris) 320s 320s Prior Probabilities of Groups: 320s setosa versicolor virginica 320s 0.33333 0.33333 0.33333 320s 320s Group means: 320s Sepal.Length Sepal.Width Petal.Length Petal.Width 320s setosa 5.006 3.428 1.462 0.246 320s versicolor 5.936 2.770 4.260 1.326 320s virginica 6.588 2.974 5.552 2.026 320s 320s Group: setosa 320s Sepal.Length Sepal.Width Petal.Length Petal.Width 320s Sepal.Length 0.124249 0.099216 0.0163551 0.0103306 320s Sepal.Width 0.099216 0.143690 0.0116980 0.0092980 320s Petal.Length 0.016355 0.011698 0.0301592 0.0060694 320s Petal.Width 0.010331 0.009298 0.0060694 0.0111061 320s 320s Group: versicolor 320s Sepal.Length Sepal.Width Petal.Length Petal.Width 320s Sepal.Length 0.266433 0.085184 0.182898 0.055780 320s Sepal.Width 0.085184 0.098469 0.082653 0.041204 320s Petal.Length 0.182898 0.082653 0.220816 0.073102 320s Petal.Width 0.055780 0.041204 0.073102 0.039106 320s 320s Group: virginica 320s Sepal.Length Sepal.Width Petal.Length Petal.Width 320s Sepal.Length 0.404343 0.093763 0.303290 0.049094 320s Sepal.Width 0.093763 0.104004 0.071380 0.047629 320s Petal.Length 0.303290 0.071380 0.304588 0.048824 320s Petal.Width 0.049094 0.047629 0.048824 0.075433 320s =================================================== 320s > dodata(method="ogk") 320s 320s Call: dodata(method = "ogk") 320s =================================================== 320s Call: 320s QdaCov(as.factor(gr) ~ ., data = hemophilia, method = method) 320s 320s Prior Probabilities of Groups: 320s carrier normal 320s 0.6 0.4 320s 320s Group means: 320s AHFactivity AHFantigen 320s carrier -0.29324 0.00033953 320s normal -0.12744 -0.06628182 320s 320s Group: carrier 320s AHFactivity AHFantigen 320s AHFactivity 0.019260 0.013026 320s AHFantigen 0.013026 0.021889 320s 320s Group: normal 320s AHFactivity AHFantigen 320s AHFactivity 0.0049651 0.0039707 320s AHFantigen 0.0039707 0.0066084 320s Call: 320s QdaCov(Treat ~ ., data = anorexia, method = method) 320s 320s Prior Probabilities of Groups: 320s CBT Cont FT 320s 0.40278 0.36111 0.23611 320s 320s Group means: 320s Prewt Postwt 320s CBT 82.587 82.709 320s Cont 81.558 81.108 320s FT 85.110 94.470 320s 320s Group: CBT 320s Prewt Postwt 320s Prewt 10.452 15.115 320s Postwt 15.115 37.085 320s 320s Group: Cont 320s Prewt Postwt 320s Prewt 31.3178 -4.2024 320s Postwt -4.2024 21.6422 320s 320s Group: FT 320s Prewt Postwt 320s Prewt 5.5309 1.4813 320s Postwt 1.4813 7.5501 320s Call: 320s QdaCov(type ~ ., data = Pima.tr, method = method) 320s 320s Prior Probabilities of Groups: 320s No Yes 320s 0.66 0.34 320s 320s Group means: 320s npreg glu bp skin bmi ped age 320s No 2.4286 110.35 67.495 25.905 30.275 0.39587 26.248 320s Yes 5.1964 142.71 75.357 32.732 34.809 0.48823 37.607 320s 320s Group: No 320s npreg glu bp skin bmi ped age 320s npreg 3.97823 8.70612 4.58776 4.16463 0.250612 -0.117238 8.21769 320s glu 8.70612 448.91392 51.71120 38.66213 21.816345 -0.296524 24.29370 320s bp 4.58776 51.71120 99.41188 24.27574 10.491311 -0.290753 20.02975 320s skin 4.16463 38.66213 24.27574 98.61950 41.682404 -0.335213 16.60454 320s bmi 0.25061 21.81634 10.49131 41.68240 35.237101 -0.019774 5.12042 320s ped -0.11724 -0.29652 -0.29075 -0.33521 -0.019774 0.051431 -0.36275 320s age 8.21769 24.29370 20.02975 16.60454 5.120417 -0.362748 31.32916 320s 320s Group: Yes 320s npreg glu bp skin bmi ped age 320s npreg 15.26499 6.30612 3.01913 3.76690 0.94825 0.12076 22.64860 320s glu 6.30612 688.16837 22.22704 12.81633 3.55791 0.68833 32.28061 320s bp 3.01913 22.22704 103.97959 9.95281 2.09860 0.45672 31.17602 320s skin 3.76690 12.81633 9.95281 67.51754 19.51489 0.59831 -2.35523 320s bmi 0.94825 3.55791 2.09860 19.51489 17.20331 0.24347 -6.88221 320s ped 0.12076 0.68833 0.45672 0.59831 0.24347 0.05933 0.43798 320s age 22.64860 32.28061 31.17602 -2.35523 -6.88221 0.43798 111.16709 320s Call: 320s QdaClassic(as.factor(gr) ~ ., data = hemophilia) 320s 320s Prior Probabilities of Groups: 320s carrier normal 320s 0.6 0.4 320s 320s Group means: 320s AHFactivity AHFantigen 320s carrier -0.30795 -0.0059911 320s normal -0.13487 -0.0778567 320s 320s Group: carrier 320s AHFactivity AHFantigen 320s AHFactivity 0.023784 0.015376 320s AHFantigen 0.015376 0.024035 320s 320s Group: normal 320s AHFactivity AHFantigen 320s AHFactivity 0.020897 0.015515 320s AHFantigen 0.015515 0.017920 320s Call: 320s QdaClassic(Treat ~ ., data = anorexia) 320s 320s Prior Probabilities of Groups: 320s CBT Cont FT 320s 0.40278 0.36111 0.23611 320s 320s Group means: 320s Prewt Postwt 320s CBT 82.690 85.697 320s Cont 81.558 81.108 320s FT 83.229 90.494 320s 320s Group: CBT 320s Prewt Postwt 320s Prewt 23.479 19.910 320s Postwt 19.910 69.755 320s 320s Group: Cont 320s Prewt Postwt 320s Prewt 32.5705 -4.3705 320s Postwt -4.3705 22.5079 320s 320s Group: FT 320s Prewt Postwt 320s Prewt 25.167 22.883 320s Postwt 22.883 71.827 320s Call: 320s QdaClassic(type ~ ., data = Pima.tr) 320s 320s Prior Probabilities of Groups: 320s No Yes 320s 0.66 0.34 320s 320s Group means: 320s npreg glu bp skin bmi ped age 320s No 2.9167 113.11 69.545 27.205 31.074 0.41548 29.235 320s Yes 4.8382 145.06 74.588 33.118 34.709 0.54866 37.691 320s 320s Group: No 320s npreg glu bp skin bmi ped age 320s npreg 7.878499 10.77226 8.190840 2.910305 -0.035751 -0.207341 16.82888 320s glu 10.772265 709.56118 81.430257 13.237682 19.037867 -0.518609 59.01307 320s bp 8.190840 81.43026 122.845246 33.879944 16.612630 -0.077183 46.78695 320s skin 2.910305 13.23768 33.879944 119.446391 50.125920 0.074282 18.47068 320s bmi -0.035751 19.03787 16.612630 50.125920 40.722996 0.145242 6.99999 320s ped -0.207341 -0.51861 -0.077183 0.074282 0.145242 0.071388 -0.53814 320s age 16.828880 59.01307 46.786954 18.470680 6.999988 -0.538138 91.08183 320s 320s Group: Yes 320s npreg glu bp skin bmi ped age 320s npreg 15.77941 -8.199298 6.42493 -0.51800 -1.03288 -0.133011 21.93437 320s glu -8.19930 907.250219 23.71115 87.51536 9.98156 -0.082159 58.12291 320s bp 6.42493 23.711150 134.18613 19.70588 5.15891 -0.795470 26.30378 320s skin -0.51800 87.515364 19.70588 151.32924 28.28551 0.347951 26.67867 320s bmi -1.03288 9.981563 5.15891 28.28551 23.14529 0.457694 -7.91216 320s ped -0.13301 -0.082159 -0.79547 0.34795 0.45769 0.128883 -0.41737 320s age 21.93437 58.122915 26.30378 26.67867 -7.91216 -0.417375 131.79873 320s Call: 320s QdaClassic(Species ~ ., data = iris) 320s 320s Prior Probabilities of Groups: 320s setosa versicolor virginica 320s 0.33333 0.33333 0.33333 320s 320s Group means: 320s Sepal.Length Sepal.Width Petal.Length Petal.Width 320s setosa 5.006 3.428 1.462 0.246 320s versicolor 5.936 2.770 4.260 1.326 320s virginica 6.588 2.974 5.552 2.026 320s 320s Group: setosa 320s Sepal.Length Sepal.Width Petal.Length Petal.Width 320s Sepal.Length 0.124249 0.099216 0.0163551 0.0103306 320s Sepal.Width 0.099216 0.143690 0.0116980 0.0092980 320s Petal.Length 0.016355 0.011698 0.0301592 0.0060694 320s Petal.Width 0.010331 0.009298 0.0060694 0.0111061 320s 320s Group: versicolor 320s Sepal.Length Sepal.Width Petal.Length Petal.Width 320s Sepal.Length 0.266433 0.085184 0.182898 0.055780 320s Sepal.Width 0.085184 0.098469 0.082653 0.041204 320s Petal.Length 0.182898 0.082653 0.220816 0.073102 320s Petal.Width 0.055780 0.041204 0.073102 0.039106 320s 320s Group: virginica 320s Sepal.Length Sepal.Width Petal.Length Petal.Width 320s Sepal.Length 0.404343 0.093763 0.303290 0.049094 320s Sepal.Width 0.093763 0.104004 0.071380 0.047629 320s Petal.Length 0.303290 0.071380 0.304588 0.048824 320s Petal.Width 0.049094 0.047629 0.048824 0.075433 320s =================================================== 320s > dodata(method="sde") 320s 320s Call: dodata(method = "sde") 320s =================================================== 320s Call: 320s QdaCov(as.factor(gr) ~ ., data = hemophilia, method = method) 320s 320s Prior Probabilities of Groups: 320s carrier normal 320s 0.6 0.4 320s 320s Group means: 320s AHFactivity AHFantigen 320s carrier -0.29834 -0.0032286 320s normal -0.12944 -0.0676930 320s 320s Group: carrier 320s AHFactivity AHFantigen 320s AHFactivity 0.025398 0.017810 320s AHFantigen 0.017810 0.030639 320s 320s Group: normal 320s AHFactivity AHFantigen 320s AHFactivity 0.0083435 0.0067686 320s AHFantigen 0.0067686 0.0119565 320s Call: 320s QdaCov(Treat ~ ., data = anorexia, method = method) 320s 320s Prior Probabilities of Groups: 320s CBT Cont FT 320s 0.40278 0.36111 0.23611 320s 320s Group means: 320s Prewt Postwt 320s CBT 82.949 83.323 320s Cont 81.484 80.840 320s FT 84.596 93.835 320s 320s Group: CBT 320s Prewt Postwt 320s Prewt 22.283 17.084 320s Postwt 17.084 25.308 320s 320s Group: Cont 320s Prewt Postwt 320s Prewt 37.1864 -8.8896 320s Postwt -8.8896 31.1930 320s 320s Group: FT 320s Prewt Postwt 320s Prewt 20.7108 3.1531 320s Postwt 3.1531 25.7046 320s Call: 320s QdaCov(type ~ ., data = Pima.tr, method = method) 320s 320s Prior Probabilities of Groups: 320s No Yes 320s 0.66 0.34 320s 320s Group means: 320s npreg glu bp skin bmi ped age 320s No 2.2567 109.91 67.538 25.484 30.355 0.38618 25.628 320s Yes 5.2216 141.64 75.048 32.349 34.387 0.47742 37.634 320s 320s Group: No 320s npreg glu bp skin bmi ped age 320s npreg 4.396832 10.20629 5.43346 4.38313 7.9891e-01 -0.09389257 7.45638 320s glu 10.206286 601.12211 56.62047 49.67071 3.3829e+01 -0.31896741 31.64508 320s bp 5.433462 56.62047 120.38052 34.38984 1.4817e+01 -0.21784446 26.44853 320s skin 4.383134 49.67071 34.38984 136.94931 6.1576e+01 -0.47532490 17.74141 320s bmi 0.798908 33.82928 14.81668 61.57578 5.1441e+01 0.00061983 8.56856 320s ped -0.093893 -0.31897 -0.21784 -0.47532 6.1983e-04 0.06012655 -0.26872 320s age 7.456376 31.64508 26.44853 17.74141 8.5686e+00 -0.26872005 29.93856 320s 320s Group: Yes 320s npreg glu bp skin bmi ped age 320s npreg 15.91978 7.7491 7.24229 10.46802 5.40627 0.320434 25.88314 320s glu 7.74907 856.4955 58.59554 29.65331 11.44745 1.388745 38.24430 320s bp 7.24229 58.5955 89.66288 21.36597 6.46859 0.764486 36.30462 320s skin 10.46802 29.6533 21.36597 86.79253 26.22071 0.620654 5.28665 320s bmi 5.40627 11.4475 6.46859 26.22071 20.12351 0.211701 0.71583 320s ped 0.32043 1.3887 0.76449 0.62065 0.21170 0.062727 0.93743 320s age 25.88314 38.2443 36.30462 5.28665 0.71583 0.937430 136.24335 320s Call: 320s QdaClassic(as.factor(gr) ~ ., data = hemophilia) 320s 320s Prior Probabilities of Groups: 320s carrier normal 320s 0.6 0.4 320s 320s Group means: 320s AHFactivity AHFantigen 320s carrier -0.30795 -0.0059911 320s normal -0.13487 -0.0778567 320s 320s Group: carrier 320s AHFactivity AHFantigen 320s AHFactivity 0.023784 0.015376 320s AHFantigen 0.015376 0.024035 320s 320s Group: normal 320s AHFactivity AHFantigen 320s AHFactivity 0.020897 0.015515 320s AHFantigen 0.015515 0.017920 320s Call: 320s QdaClassic(Treat ~ ., data = anorexia) 320s 320s Prior Probabilities of Groups: 320s CBT Cont FT 320s 0.40278 0.36111 0.23611 320s 320s Group means: 320s Prewt Postwt 320s CBT 82.690 85.697 320s Cont 81.558 81.108 320s FT 83.229 90.494 320s 320s Group: CBT 320s Prewt Postwt 320s Prewt 23.479 19.910 320s Postwt 19.910 69.755 320s 320s Group: Cont 320s Prewt Postwt 320s Prewt 32.5705 -4.3705 320s Postwt -4.3705 22.5079 320s 320s Group: FT 320s Prewt Postwt 320s Prewt 25.167 22.883 320s Postwt 22.883 71.827 320s Call: 320s QdaClassic(type ~ ., data = Pima.tr) 320s 320s Prior Probabilities of Groups: 320s No Yes 320s 0.66 0.34 320s 320s Group means: 320s npreg glu bp skin bmi ped age 320s No 2.9167 113.11 69.545 27.205 31.074 0.41548 29.235 320s Yes 4.8382 145.06 74.588 33.118 34.709 0.54866 37.691 320s 320s Group: No 320s npreg glu bp skin bmi ped age 320s npreg 7.878499 10.77226 8.190840 2.910305 -0.035751 -0.207341 16.82888 320s glu 10.772265 709.56118 81.430257 13.237682 19.037867 -0.518609 59.01307 320s bp 8.190840 81.43026 122.845246 33.879944 16.612630 -0.077183 46.78695 320s skin 2.910305 13.23768 33.879944 119.446391 50.125920 0.074282 18.47068 320s bmi -0.035751 19.03787 16.612630 50.125920 40.722996 0.145242 6.99999 320s ped -0.207341 -0.51861 -0.077183 0.074282 0.145242 0.071388 -0.53814 320s age 16.828880 59.01307 46.786954 18.470680 6.999988 -0.538138 91.08183 320s 320s Group: Yes 320s npreg glu bp skin bmi ped age 320s npreg 15.77941 -8.199298 6.42493 -0.51800 -1.03288 -0.133011 21.93437 320s glu -8.19930 907.250219 23.71115 87.51536 9.98156 -0.082159 58.12291 320s bp 6.42493 23.711150 134.18613 19.70588 5.15891 -0.795470 26.30378 320s skin -0.51800 87.515364 19.70588 151.32924 28.28551 0.347951 26.67867 320s bmi -1.03288 9.981563 5.15891 28.28551 23.14529 0.457694 -7.91216 320s ped -0.13301 -0.082159 -0.79547 0.34795 0.45769 0.128883 -0.41737 320s age 21.93437 58.122915 26.30378 26.67867 -7.91216 -0.417375 131.79873 320s Call: 320s QdaClassic(Species ~ ., data = iris) 320s 320s Prior Probabilities of Groups: 320s setosa versicolor virginica 320s 0.33333 0.33333 0.33333 320s 320s Group means: 320s Sepal.Length Sepal.Width Petal.Length Petal.Width 320s setosa 5.006 3.428 1.462 0.246 320s versicolor 5.936 2.770 4.260 1.326 320s virginica 6.588 2.974 5.552 2.026 320s 320s Group: setosa 320s Sepal.Length Sepal.Width Petal.Length Petal.Width 320s Sepal.Length 0.124249 0.099216 0.0163551 0.0103306 320s Sepal.Width 0.099216 0.143690 0.0116980 0.0092980 320s Petal.Length 0.016355 0.011698 0.0301592 0.0060694 320s Petal.Width 0.010331 0.009298 0.0060694 0.0111061 320s 320s Group: versicolor 320s Sepal.Length Sepal.Width Petal.Length Petal.Width 320s Sepal.Length 0.266433 0.085184 0.182898 0.055780 320s Sepal.Width 0.085184 0.098469 0.082653 0.041204 320s Petal.Length 0.182898 0.082653 0.220816 0.073102 320s Petal.Width 0.055780 0.041204 0.073102 0.039106 320s 320s Group: virginica 320s Sepal.Length Sepal.Width Petal.Length Petal.Width 320s Sepal.Length 0.404343 0.093763 0.303290 0.049094 320s Sepal.Width 0.093763 0.104004 0.071380 0.047629 320s Petal.Length 0.303290 0.071380 0.304588 0.048824 320s Petal.Width 0.049094 0.047629 0.048824 0.075433 320s =================================================== 320s > 320s BEGIN TEST tsde.R 320s 320s R version 4.3.3 (2024-02-29) -- "Angel Food Cake" 320s Copyright (C) 2024 The R Foundation for Statistical Computing 320s Platform: arm-unknown-linux-gnueabihf (32-bit) 320s 320s R is free software and comes with ABSOLUTELY NO WARRANTY. 320s You are welcome to redistribute it under certain conditions. 320s Type 'license()' or 'licence()' for distribution details. 320s 320s R is a collaborative project with many contributors. 320s Type 'contributors()' for more information and 320s 'citation()' on how to cite R or R packages in publications. 320s 320s Type 'demo()' for some demos, 'help()' for on-line help, or 320s 'help.start()' for an HTML browser interface to help. 320s Type 'q()' to quit R. 320s 320s > ## Test for singularity 320s > doexact <- function(){ 320s + exact <-function(){ 320s + n1 <- 45 320s + p <- 2 320s + x1 <- matrix(rnorm(p*n1),nrow=n1, ncol=p) 320s + x1[,p] <- x1[,p] + 3 320s + ## library(MASS) 320s + ## x1 <- mvrnorm(n=n1, mu=c(0,3), Sigma=diag(1,nrow=p)) 320s + 320s + n2 <- 55 320s + m1 <- 0 320s + m2 <- 3 320s + x2 <- cbind(rnorm(n2),rep(m2,n2)) 320s + x<-rbind(x1,x2) 320s + colnames(x) <- c("X1","X2") 320s + x 320s + } 320s + print(CovSde(exact())) 320s + } 320s > 320s > dodata <- function(nrep=1, time=FALSE, short=FALSE, full=TRUE){ 320s + 320s + domcd <- function(x, xname, nrep=1){ 320s + n <- dim(x)[1] 320s + p <- dim(x)[2] 320s + 320s + mcd<-CovSde(x) 320s + 320s + if(time){ 320s + xtime <- system.time(dorep(x, nrep))[1]/nrep 320s + xres <- sprintf("%3d %3d %3d\n", dim(x)[1], dim(x)[2], xtime) 320s + } 320s + else{ 320s + xres <- sprintf("%3d %3d\n", dim(x)[1], dim(x)[2]) 320s + } 320s + lpad<-lname-nchar(xname) 320s + cat(pad.right(xname,lpad), xres) 320s + 320s + if(!short){ 320s + 320s + ibad <- which(mcd@wt==0) 320s + names(ibad) <- NULL 320s + nbad <- length(ibad) 320s + cat("Outliers: ",nbad,"\n") 320s + if(nbad > 0) 320s + print(ibad) 320s + if(full){ 320s + cat("-------------\n") 320s + show(mcd) 320s + } 320s + cat("--------------------------------------------------------\n") 320s + } 320s + } 320s + 320s + options(digits = 5) 320s + set.seed(101) # <<-- sub-sampling algorithm now based on R's RNG and seed 320s + 320s + lname <- 20 320s + 320s + ## VT::15.09.2013 - this will render the output independent 320s + ## from the version of the package 320s + suppressPackageStartupMessages(library(rrcov)) 320s + 320s + data(heart) 320s + data(starsCYG) 320s + data(phosphor) 320s + data(stackloss) 320s + data(coleman) 320s + data(salinity) 320s + data(wood) 320s + 320s + data(hbk) 320s + 320s + data(Animals, package = "MASS") 320s + brain <- Animals[c(1:24, 26:25, 27:28),] 320s + data(milk) 320s + data(bushfire) 320s + 320s + tmp <- sys.call() 320s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 320s + 320s + cat("Data Set n p Half LOG(obj) Time\n") 320s + cat("========================================================\n") 320s + domcd(heart[, 1:2], data(heart), nrep) 320s + domcd(starsCYG, data(starsCYG), nrep) 320s + domcd(data.matrix(subset(phosphor, select = -plant)), data(phosphor), nrep) 320s + domcd(stack.x, data(stackloss), nrep) 320s + domcd(data.matrix(subset(coleman, select = -Y)), data(coleman), nrep) 320s + domcd(data.matrix(subset(salinity, select = -Y)), data(salinity), nrep) 320s + domcd(data.matrix(subset(wood, select = -y)), data(wood), nrep) 320s + domcd(data.matrix(subset(hbk, select = -Y)),data(hbk), nrep) 320s + 320s + domcd(brain, "Animals", nrep) 320s + domcd(milk, data(milk), nrep) 320s + domcd(bushfire, data(bushfire), nrep) 320s + ## VT::19.07.2010: test the univariate SDE 320s + for(i in 1:ncol(bushfire)) 320s + domcd(bushfire[i], data(bushfire), nrep) 320s + cat("========================================================\n") 320s + } 320s > 320s > dogen <- function(nrep=1, eps=0.49){ 320s + 320s + library(MASS) 320s + domcd <- function(x, nrep=1){ 320s + gc() 320s + xtime <- system.time(dorep(x, nrep))[1]/nrep 320s + cat(sprintf("%6d %3d %10.2f\n", dim(x)[1], dim(x)[2], xtime)) 320s + xtime 320s + } 320s + 320s + set.seed(1234) 320s + 320s + ## VT::15.09.2013 - this will render the output independent 320s + ## from the version of the package 320s + suppressPackageStartupMessages(library(rrcov)) 320s + 320s + ap <- c(2, 5, 10, 20, 30) 320s + an <- c(100, 500, 1000, 10000, 50000) 320s + 320s + tottime <- 0 320s + cat(" n p Time\n") 320s + cat("=====================\n") 320s + for(i in 1:length(an)) { 320s + for(j in 1:length(ap)) { 320s + n <- an[i] 320s + p <- ap[j] 320s + if(5*p <= n){ 320s + xx <- gendata(n, p, eps) 320s + X <- xx$X 320s + tottime <- tottime + domcd(X, nrep) 320s + } 320s + } 320s + } 320s + 320s + cat("=====================\n") 320s + cat("Total time: ", tottime*nrep, "\n") 320s + } 320s > 320s > docheck <- function(n, p, eps){ 320s + xx <- gendata(n,p,eps) 320s + mcd <- CovSde(xx$X) 320s + check(mcd, xx$xind) 320s + } 320s > 320s > check <- function(mcd, xind){ 320s + ## check if mcd is robust w.r.t xind, i.e. check how many of xind 320s + ## did not get zero weight 320s + mymatch <- xind %in% which(mcd@wt == 0) 320s + length(xind) - length(which(mymatch)) 320s + } 320s > 320s > dorep <- function(x, nrep=1){ 320s + 320s + for(i in 1:nrep) 320s + CovSde(x) 320s + } 320s > 320s > #### gendata() #### 320s > # Generates a location contaminated multivariate 320s > # normal sample of n observations in p dimensions 320s > # (1-eps)*Np(0,Ip) + eps*Np(m,Ip) 320s > # where 320s > # m = (b,b,...,b) 320s > # Defaults: eps=0 and b=10 320s > # 320s > gendata <- function(n,p,eps=0,b=10){ 320s + 320s + if(missing(n) || missing(p)) 320s + stop("Please specify (n,p)") 320s + if(eps < 0 || eps >= 0.5) 320s + stop(message="eps must be in [0,0.5)") 320s + X <- mvrnorm(n,rep(0,p),diag(1,nrow=p,ncol=p)) 320s + nbad <- as.integer(eps * n) 320s + if(nbad > 0){ 320s + Xbad <- mvrnorm(nbad,rep(b,p),diag(1,nrow=p,ncol=p)) 320s + xind <- sample(n,nbad) 320s + X[xind,] <- Xbad 320s + } 320s + list(X=X, xind=xind) 320s + } 320s > 320s > pad.right <- function(z, pads) 320s + { 320s + ### Pads spaces to right of text 320s + padding <- paste(rep(" ", pads), collapse = "") 320s + paste(z, padding, sep = "") 320s + } 320s > 320s > whatis<-function(x){ 320s + if(is.data.frame(x)) 320s + cat("Type: data.frame\n") 320s + else if(is.matrix(x)) 320s + cat("Type: matrix\n") 320s + else if(is.vector(x)) 320s + cat("Type: vector\n") 320s + else 320s + cat("Type: don't know\n") 320s + } 320s > 320s > ## VT::15.09.2013 - this will render the output independent 320s > ## from the version of the package 320s > suppressPackageStartupMessages(library(rrcov)) 320s > 320s > dodata() 320s 320s Call: dodata() 320s Data Set n p Half LOG(obj) Time 320s ======================================================== 320s heart 12 2 320s Outliers: 5 320s [1] 2 6 8 10 12 320s ------------- 320s 320s Call: 320s CovSde(x = x) 320s -> Method: Stahel-Donoho estimator 320s 320s Robust Estimate of Location: 320s height weight 320s 39.8 35.7 320s 320s Robust Estimate of Covariance: 320s height weight 320s height 38.2 77.1 320s weight 77.1 188.1 320s -------------------------------------------------------- 320s starsCYG 47 2 320s Outliers: 7 320s [1] 7 9 11 14 20 30 34 320s ------------- 320s 320s Call: 320s CovSde(x = x) 320s -> Method: Stahel-Donoho estimator 320s 320s Robust Estimate of Location: 320s log.Te log.light 320s 4.42 4.96 320s 320s Robust Estimate of Covariance: 320s log.Te log.light 320s log.Te 0.0163 0.0522 320s log.light 0.0522 0.3243 320s -------------------------------------------------------- 320s phosphor 18 2 320s Outliers: 2 320s [1] 1 6 320s ------------- 320s 320s Call: 320s CovSde(x = x) 320s -> Method: Stahel-Donoho estimator 320s 320s Robust Estimate of Location: 320s inorg organic 320s 13.3 39.7 320s 320s Robust Estimate of Covariance: 320s inorg organic 320s inorg 133 134 320s organic 134 204 320s -------------------------------------------------------- 320s stackloss 21 3 320s Outliers: 6 320s [1] 1 2 3 15 17 21 320s ------------- 320s 320s Call: 320s CovSde(x = x) 320s -> Method: Stahel-Donoho estimator 320s 320s Robust Estimate of Location: 320s Air.Flow Water.Temp Acid.Conc. 320s 57.8 20.7 86.4 320s 320s Robust Estimate of Covariance: 320s Air.Flow Water.Temp Acid.Conc. 320s Air.Flow 39.7 15.6 25.0 320s Water.Temp 15.6 13.0 11.9 320s Acid.Conc. 25.0 11.9 40.3 320s -------------------------------------------------------- 320s coleman 20 5 320s Outliers: 8 320s [1] 1 2 6 10 11 12 15 18 320s ------------- 320s 320s Call: 320s CovSde(x = x) 320s -> Method: Stahel-Donoho estimator 320s 320s Robust Estimate of Location: 320s salaryP fatherWc sstatus teacherSc motherLev 320s 2.78 58.64 9.09 25.37 6.69 320s 320s Robust Estimate of Covariance: 320s salaryP fatherWc sstatus teacherSc motherLev 320s salaryP 0.2556 -1.0144 0.6599 0.2673 0.0339 320s fatherWc -1.0144 1615.9192 382.7846 -4.8287 36.0227 320s sstatus 0.6599 382.7846 108.1781 -0.7904 9.1027 320s teacherSc 0.2673 -4.8287 -0.7904 0.9346 -0.0239 320s motherLev 0.0339 36.0227 9.1027 -0.0239 0.9155 320s -------------------------------------------------------- 320s salinity 28 3 320s Outliers: 9 320s [1] 3 4 5 9 11 16 19 23 24 320s ------------- 320s 320s Call: 320s CovSde(x = x) 320s -> Method: Stahel-Donoho estimator 320s 320s Robust Estimate of Location: 320s X1 X2 X3 320s 10.84 3.35 22.48 320s 320s Robust Estimate of Covariance: 320s X1 X2 X3 320s X1 10.75 -1.62 -2.05 320s X2 -1.62 4.21 -1.43 320s X3 -2.05 -1.43 2.63 320s -------------------------------------------------------- 320s wood 20 5 320s Outliers: 11 320s [1] 4 6 7 8 9 10 12 13 16 19 20 320s ------------- 320s 320s Call: 320s CovSde(x = x) 320s -> Method: Stahel-Donoho estimator 320s 320s Robust Estimate of Location: 320s x1 x2 x3 x4 x5 320s 0.573 0.119 0.517 0.549 0.904 320s 320s Robust Estimate of Covariance: 320s x1 x2 x3 x4 x5 320s x1 0.025185 0.004279 -0.001262 -0.000382 -0.001907 320s x2 0.004279 0.001011 0.000197 -0.000117 0.000247 320s x3 -0.001262 0.000197 0.003042 0.002034 0.001773 320s x4 -0.000382 -0.000117 0.002034 0.007943 0.001137 320s x5 -0.001907 0.000247 0.001773 0.001137 0.005392 320s -------------------------------------------------------- 320s hbk 75 3 320s Outliers: 15 320s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 53 320s ------------- 320s 320s Call: 320s CovSde(x = x) 320s -> Method: Stahel-Donoho estimator 320s 320s Robust Estimate of Location: 320s X1 X2 X3 320s 1.59 1.79 1.67 320s 320s Robust Estimate of Covariance: 320s X1 X2 X3 320s X1 1.6354 0.0793 0.2284 320s X2 0.0793 1.6461 0.3186 320s X3 0.2284 0.3186 1.5673 320s -------------------------------------------------------- 320s Animals 28 2 320s Outliers: 13 320s [1] 2 6 7 8 9 12 13 14 15 16 24 25 28 320s ------------- 320s 320s Call: 320s CovSde(x = x) 320s -> Method: Stahel-Donoho estimator 320s 320s Robust Estimate of Location: 320s body brain 320s 18.7 64.9 320s 320s Robust Estimate of Covariance: 320s body brain 320s body 4702 7973 320s brain 7973 28571 320s -------------------------------------------------------- 320s milk 86 8 320s Outliers: 21 320s [1] 1 2 3 6 11 12 13 14 15 16 17 18 20 27 41 44 47 70 74 75 77 320s ------------- 320s 320s Call: 320s CovSde(x = x) 320s -> Method: Stahel-Donoho estimator 320s 320s Robust Estimate of Location: 320s X1 X2 X3 X4 X5 X6 X7 X8 320s 1.03 35.90 33.04 26.11 25.10 25.02 123.06 14.37 320s 320s Robust Estimate of Covariance: 320s X1 X2 X3 X4 X5 X6 X7 320s X1 4.73e-07 6.57e-05 1.79e-04 1.71e-04 1.62e-04 1.42e-04 6.85e-04 320s X2 6.57e-05 1.57e+00 1.36e-01 9.28e-02 4.18e-02 1.30e-01 1.58e+00 320s X3 1.79e-04 1.36e-01 1.12e+00 8.20e-01 8.27e-01 8.00e-01 6.66e-01 320s X4 1.71e-04 9.28e-02 8.20e-01 6.57e-01 6.41e-01 6.18e-01 5.47e-01 320s X5 1.62e-04 4.18e-02 8.27e-01 6.41e-01 6.93e-01 6.44e-01 5.71e-01 320s X6 1.42e-04 1.30e-01 8.00e-01 6.18e-01 6.44e-01 6.44e-01 5.55e-01 320s X7 6.85e-04 1.58e+00 6.66e-01 5.47e-01 5.71e-01 5.55e-01 4.17e+00 320s X8 1.40e-05 2.33e-01 1.74e-01 1.06e-01 9.44e-02 9.86e-02 3.54e-01 320s X8 320s X1 1.40e-05 320s X2 2.33e-01 320s X3 1.74e-01 320s X4 1.06e-01 320s X5 9.44e-02 320s X6 9.86e-02 320s X7 3.54e-01 320s X8 1.57e-01 320s -------------------------------------------------------- 320s bushfire 38 5 320s Outliers: 23 320s [1] 1 5 6 7 8 9 10 11 12 13 15 16 28 29 30 31 32 33 34 35 36 37 38 320s ------------- 320s 320s Call: 320s CovSde(x = x) 320s -> Method: Stahel-Donoho estimator 320s 320s Robust Estimate of Location: 320s V1 V2 V3 V4 V5 320s 105 148 287 223 283 320s 320s Robust Estimate of Covariance: 320s V1 V2 V3 V4 V5 320s V1 1964 1712 -10230 -2504 -2066 320s V2 1712 1526 -8732 -2145 -1763 320s V3 -10230 -8732 56327 13803 11472 320s V4 -2504 -2145 13803 3509 2894 320s V5 -2066 -1763 11472 2894 2404 320s -------------------------------------------------------- 320s bushfire 38 1 320s Outliers: 2 320s [1] 13 30 320s ------------- 320s 320s Call: 320s CovSde(x = x) 320s -> Method: Stahel-Donoho estimator 320s 320s Robust Estimate of Location: 320s V1 320s 98.5 320s 320s Robust Estimate of Covariance: 320s V1 320s V1 431 320s -------------------------------------------------------- 320s bushfire 38 1 320s Outliers: 6 320s [1] 33 34 35 36 37 38 320s ------------- 320s 320s Call: 320s CovSde(x = x) 320s -> Method: Stahel-Donoho estimator 320s 320s Robust Estimate of Location: 320s V2 320s 141 320s 320s Robust Estimate of Covariance: 320s V2 320s V2 528 320s -------------------------------------------------------- 320s bushfire 38 1 320s Outliers: 0 320s ------------- 320s 320s Call: 320s CovSde(x = x) 320s -> Method: Stahel-Donoho estimator 320s 320s Robust Estimate of Location: 320s V3 320s 238 320s 320s Robust Estimate of Covariance: 320s V3 320s V3 37148 320s -------------------------------------------------------- 320s bushfire 38 1 320s Outliers: 9 320s [1] 8 9 32 33 34 35 36 37 38 320s ------------- 320s 320s Call: 320s CovSde(x = x) 320s -> Method: Stahel-Donoho estimator 320s 320s Robust Estimate of Location: 320s V4 320s 210 320s 320s Robust Estimate of Covariance: 320s V4 320s V4 2543 320s -------------------------------------------------------- 320s bushfire 38 1 320s Outliers: 9 320s [1] 8 9 32 33 34 35 36 37 38 320s ------------- 320s 320s Call: 320s CovSde(x = x) 320s -> Method: Stahel-Donoho estimator 320s 320s Robust Estimate of Location: 320s V5 320s 273 320s 320s Robust Estimate of Covariance: 320s V5 320s V5 1575 320s -------------------------------------------------------- 320s ======================================================== 320s > ##doexact() 320s > 320s BEGIN TEST tsest.R 320s 320s R version 4.3.3 (2024-02-29) -- "Angel Food Cake" 320s Copyright (C) 2024 The R Foundation for Statistical Computing 320s Platform: arm-unknown-linux-gnueabihf (32-bit) 320s 320s R is free software and comes with ABSOLUTELY NO WARRANTY. 320s You are welcome to redistribute it under certain conditions. 320s Type 'license()' or 'licence()' for distribution details. 320s 320s R is a collaborative project with many contributors. 320s Type 'contributors()' for more information and 320s 'citation()' on how to cite R or R packages in publications. 320s 320s Type 'demo()' for some demos, 'help()' for on-line help, or 320s 'help.start()' for an HTML browser interface to help. 320s Type 'q()' to quit R. 320s 321s > ## VT::15.09.2013 - this will render the output independent 321s > ## from the version of the package 321s > suppressPackageStartupMessages(library(rrcov)) 321s > 321s > library(MASS) 321s > 321s > dodata <- function(nrep = 1, time = FALSE, full = TRUE, method) { 321s + doest <- function(x, xname, nrep = 1, method=c("sfast", "surreal", "bisquare", "rocke", "suser", "MM", "sdet")) { 321s + 321s + method <- match.arg(method) 321s + 321s + lname <- 20 321s + n <- dim(x)[1] 321s + p <- dim(x)[2] 321s + 321s + mm <- if(method == "MM") CovMMest(x) else CovSest(x, method=method) 321s + 321s + crit <- log(mm@crit) 321s + 321s + xres <- sprintf("%3d %3d %12.6f\n", dim(x)[1], dim(x)[2], crit) 321s + lpad <- lname-nchar(xname) 321s + cat(pad.right(xname,lpad), xres) 321s + 321s + dist <- getDistance(mm) 321s + quantiel <- qchisq(0.975, p) 321s + ibad <- which(dist >= quantiel) 321s + names(ibad) <- NULL 321s + nbad <- length(ibad) 321s + cat("Outliers: ",nbad,"\n") 321s + if(nbad > 0) 321s + print(ibad) 321s + cat("-------------\n") 321s + show(mm) 321s + cat("--------------------------------------------------------\n") 321s + } 321s + 321s + options(digits = 5) 321s + set.seed(101) # <<-- sub-sampling algorithm now based on R's RNG and seed 321s + 321s + data(heart) 321s + data(starsCYG) 321s + data(phosphor) 321s + data(stackloss) 321s + data(coleman) 321s + data(salinity) 321s + data(wood) 321s + data(hbk) 321s + 321s + data(Animals, package = "MASS") 321s + brain <- Animals[c(1:24, 26:25, 27:28),] 321s + data(milk) 321s + data(bushfire) 321s + ### 321s + data(rice) 321s + data(hemophilia) 321s + data(fish) 321s + 321s + tmp <- sys.call() 321s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 321s + 321s + cat("Data Set n p LOG(det) Time\n") 321s + cat("===================================================\n") 321s + doest(heart[, 1:2], data(heart), nrep, method=method) 321s + doest(starsCYG, data(starsCYG), nrep, method=method) 321s + doest(data.matrix(subset(phosphor, select = -plant)), data(phosphor), nrep, method=method) 321s + doest(stack.x, data(stackloss), nrep, method=method) 321s + doest(data.matrix(subset(coleman, select = -Y)), data(coleman), nrep, method=method) 321s + doest(data.matrix(subset(salinity, select = -Y)), data(salinity), nrep, method=method) 321s + doest(data.matrix(subset(wood, select = -y)), data(wood), nrep, method=method) 321s + doest(data.matrix(subset(hbk, select = -Y)), data(hbk), nrep, method=method) 321s + 321s + 321s + doest(brain, "Animals", nrep, method=method) 321s + doest(milk, data(milk), nrep, method=method) 321s + doest(bushfire, data(bushfire), nrep, method=method) 321s + 321s + doest(data.matrix(subset(rice, select = -Overall_evaluation)), data(rice), nrep, method=method) 321s + doest(data.matrix(subset(hemophilia, select = -gr)), data(hemophilia), nrep, method=method) 321s + doest(data.matrix(subset(fish, select = -Species)), data(fish), nrep, method=method) 321s + 321s + ## from package 'datasets' 321s + doest(airquality[,1:4], data(airquality), nrep, method=method) 321s + doest(attitude, data(attitude), nrep, method=method) 321s + doest(attenu, data(attenu), nrep, method=method) 321s + doest(USJudgeRatings, data(USJudgeRatings), nrep, method=method) 321s + doest(USArrests, data(USArrests), nrep, method=method) 321s + doest(longley, data(longley), nrep, method=method) 321s + doest(Loblolly, data(Loblolly), nrep, method=method) 321s + doest(quakes[,1:4], data(quakes), nrep, method=method) 321s + 321s + cat("===================================================\n") 321s + } 321s > 321s > # generate contaminated data using the function gendata with different 321s > # number of outliers and check if the M-estimate breaks - i.e. the 321s > # largest eigenvalue is larger than e.g. 5. 321s > # For n=50 and p=10 and d=5 the M-estimate can break for number of 321s > # outliers grater than 20. 321s > dogen <- function(){ 321s + eig <- vector("numeric",26) 321s + for(i in 0:25) { 321s + gg <- gendata(eps=i) 321s + mm <- CovSRocke(gg$x, t0=gg$tgood, S0=gg$sgood) 321s + eig[i+1] <- ev <- getEvals(mm)[1] 321s + cat(i, ev, "\n") 321s + 321s + ## stopifnot(ev < 5 || i > 20) 321s + } 321s + plot(0:25, eig, type="l", xlab="Number of outliers", ylab="Largest Eigenvalue") 321s + } 321s > 321s > # 321s > # generate data 50x10 as multivariate normal N(0,I) and add 321s > # eps % outliers by adding d=5.0 to each component. 321s > # - if eps <0 and eps <=0.5, the number of outliers is eps*n 321s > # - if eps >= 1, it is the number of outliers 321s > # - use the center and cov of the good data as good start 321s > # - use the center and the cov of all data as a bad start 321s > # If using a good start, the M-estimate must iterate to 321s > # the good solution: the largest eigenvalue is less then e.g. 5 321s > # 321s > gendata <- function(n=50, p=10, eps=0, d=5.0){ 321s + 321s + if(eps < 0 || eps > 0.5 && eps < 1.0 || eps > 0.5*n) 321s + stop("eps is out of range") 321s + 321s + library(MASS) 321s + 321s + x <- mvrnorm(n, rep(0,p), diag(p)) 321s + bad <- vector("numeric") 321s + nbad = if(eps < 1) eps*n else eps 321s + if(nbad > 0){ 321s + bad <- sample(n, nbad) 321s + x[bad,] <- x[bad,] + d 321s + } 321s + cov1 <- cov.wt(x) 321s + cov2 <- if(nbad <= 0) cov1 else cov.wt(x[-bad,]) 321s + 321s + list(x=x, bad=sort(bad), tgood=cov2$center, sgood=cov2$cov, tbad=cov1$center, sbad=cov1$cov) 321s + } 321s > 321s > pad.right <- function(z, pads) 321s + { 321s + ## Pads spaces to right of text 321s + padding <- paste(rep(" ", pads), collapse = "") 321s + paste(z, padding, sep = "") 321s + } 321s > 321s > 321s > ## -- now do it: 321s > dodata(method="sfast") 321s 321s Call: dodata(method = "sfast") 321s Data Set n p LOG(det) Time 321s =================================================== 321s heart 12 2 2.017701 321s Outliers: 3 321s [1] 2 6 12 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] 36.1 29.5 321s 321s Robust Estimate of Covariance: 321s height weight 321s height 129 210 321s weight 210 365 321s -------------------------------------------------------- 321s starsCYG 47 2 -1.450032 321s Outliers: 7 321s [1] 7 9 11 14 20 30 34 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] 4.42 4.97 321s 321s Robust Estimate of Covariance: 321s log.Te log.light 321s log.Te 0.0176 0.0617 321s log.light 0.0617 0.3880 321s -------------------------------------------------------- 321s phosphor 18 2 2.320721 321s Outliers: 2 321s [1] 1 6 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] 14.1 38.8 321s 321s Robust Estimate of Covariance: 321s inorg organic 321s inorg 174 190 321s organic 190 268 321s -------------------------------------------------------- 321s stackloss 21 3 1.470031 321s Outliers: 3 321s [1] 1 2 3 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] 57.5 20.5 86.0 321s 321s Robust Estimate of Covariance: 321s Air.Flow Water.Temp Acid.Conc. 321s Air.Flow 38.94 11.66 22.89 321s Water.Temp 11.66 9.96 7.81 321s Acid.Conc. 22.89 7.81 40.48 321s -------------------------------------------------------- 321s coleman 20 5 0.491419 321s Outliers: 2 321s [1] 6 10 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] 2.77 45.58 4.13 25.13 6.39 321s 321s Robust Estimate of Covariance: 321s salaryP fatherWc sstatus teacherSc motherLev 321s salaryP 0.2209 1.9568 1.4389 0.2638 0.0674 321s fatherWc 1.9568 940.7409 307.8297 8.3290 21.9143 321s sstatus 1.4389 307.8297 134.0540 4.1808 7.4799 321s teacherSc 0.2638 8.3290 4.1808 0.7604 0.2917 321s motherLev 0.0674 21.9143 7.4799 0.2917 0.5817 321s -------------------------------------------------------- 321s salinity 28 3 0.734619 321s Outliers: 4 321s [1] 5 16 23 24 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] 10.31 3.07 22.60 321s 321s Robust Estimate of Covariance: 321s X1 X2 X3 321s X1 13.200 0.784 -3.611 321s X2 0.784 4.441 -1.658 321s X3 -3.611 -1.658 2.877 321s -------------------------------------------------------- 321s wood 20 5 -3.202636 321s Outliers: 2 321s [1] 7 9 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] 0.551 0.135 0.496 0.511 0.916 321s 321s Robust Estimate of Covariance: 321s x1 x2 x3 x4 x5 321s x1 0.011361 -0.000791 0.005473 0.004204 -0.004747 321s x2 -0.000791 0.000701 -0.000534 -0.001452 0.000864 321s x3 0.005473 -0.000534 0.004905 0.002960 -0.001914 321s x4 0.004204 -0.001452 0.002960 0.005154 -0.002187 321s x5 -0.004747 0.000864 -0.001914 -0.002187 0.003214 321s -------------------------------------------------------- 321s hbk 75 3 0.283145 321s Outliers: 14 321s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] 1.53 1.83 1.66 321s 321s Robust Estimate of Covariance: 321s X1 X2 X3 321s X1 1.8091 0.0479 0.2446 321s X2 0.0479 1.8190 0.2513 321s X3 0.2446 0.2513 1.7288 321s -------------------------------------------------------- 321s Animals 28 2 4.685129 321s Outliers: 10 321s [1] 2 6 7 9 12 14 15 16 24 25 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] 30.8 84.2 321s 321s Robust Estimate of Covariance: 321s body brain 321s body 14806 28767 321s brain 28767 65195 321s -------------------------------------------------------- 321s milk 86 8 -1.437863 321s Outliers: 15 321s [1] 1 2 3 12 13 14 15 16 17 41 44 47 70 74 75 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] 1.03 35.81 32.97 26.04 25.02 24.94 122.81 14.36 321s 321s Robust Estimate of Covariance: 321s X1 X2 X3 X4 X5 X6 X7 321s X1 8.30e-07 2.53e-04 4.43e-04 4.02e-04 3.92e-04 3.96e-04 1.44e-03 321s X2 2.53e-04 2.24e+00 4.77e-01 3.63e-01 2.91e-01 3.94e-01 2.44e+00 321s X3 4.43e-04 4.77e-01 1.58e+00 1.20e+00 1.18e+00 1.19e+00 1.65e+00 321s X4 4.02e-04 3.63e-01 1.20e+00 9.74e-01 9.37e-01 9.39e-01 1.39e+00 321s X5 3.92e-04 2.91e-01 1.18e+00 9.37e-01 9.78e-01 9.44e-01 1.37e+00 321s X6 3.96e-04 3.94e-01 1.19e+00 9.39e-01 9.44e-01 9.82e-01 1.41e+00 321s X7 1.44e-03 2.44e+00 1.65e+00 1.39e+00 1.37e+00 1.41e+00 6.96e+00 321s X8 7.45e-05 3.33e-01 2.82e-01 2.01e-01 1.80e-01 1.91e-01 6.38e-01 321s X8 321s X1 7.45e-05 321s X2 3.33e-01 321s X3 2.82e-01 321s X4 2.01e-01 321s X5 1.80e-01 321s X6 1.91e-01 321s X7 6.38e-01 321s X8 2.01e-01 321s -------------------------------------------------------- 321s bushfire 38 5 2.443148 321s Outliers: 13 321s [1] 7 8 9 10 11 31 32 33 34 35 36 37 38 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] 108 149 266 216 278 321s 321s Robust Estimate of Covariance: 321s V1 V2 V3 V4 V5 321s V1 911 688 -3961 -856 -707 321s V2 688 587 -2493 -492 -420 321s V3 -3961 -2493 24146 5765 4627 321s V4 -856 -492 5765 1477 1164 321s V5 -707 -420 4627 1164 925 321s -------------------------------------------------------- 321s rice 105 5 -0.724874 321s Outliers: 7 321s [1] 9 40 42 49 57 58 71 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] -0.2472 0.1211 -0.1207 0.0715 0.0640 321s 321s Robust Estimate of Covariance: 321s Favor Appearance Taste Stickiness Toughness 321s Favor 0.423 0.345 0.427 0.405 -0.202 321s Appearance 0.345 0.592 0.570 0.549 -0.316 321s Taste 0.427 0.570 0.739 0.706 -0.393 321s Stickiness 0.405 0.549 0.706 0.876 -0.497 321s Toughness -0.202 -0.316 -0.393 -0.497 0.467 321s -------------------------------------------------------- 321s hemophilia 75 2 -1.868949 321s Outliers: 2 321s [1] 11 36 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] -0.2126 -0.0357 321s 321s Robust Estimate of Covariance: 321s AHFactivity AHFantigen 321s AHFactivity 0.0317 0.0112 321s AHFantigen 0.0112 0.0218 321s -------------------------------------------------------- 321s fish 159 6 1.285876 321s Outliers: 21 321s [1] 61 62 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 321s [20] 103 142 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] 358.3 24.7 26.9 29.7 30.0 14.7 321s 321s Robust Estimate of Covariance: 321s Weight Length1 Length2 Length3 Height Width 321s Weight 1.33e+05 3.09e+03 3.34e+03 3.78e+03 1.72e+03 2.24e+02 321s Length1 3.09e+03 7.92e+01 8.54e+01 9.55e+01 4.04e+01 7.43e+00 321s Length2 3.34e+03 8.54e+01 9.22e+01 1.03e+02 4.49e+01 8.07e+00 321s Length3 3.78e+03 9.55e+01 1.03e+02 1.18e+02 5.92e+01 7.65e+00 321s Height 1.72e+03 4.04e+01 4.49e+01 5.92e+01 7.12e+01 8.51e-01 321s Width 2.24e+02 7.43e+00 8.07e+00 7.65e+00 8.51e-01 3.57e+00 321s -------------------------------------------------------- 321s airquality 153 4 2.684374 321s Outliers: 7 321s [1] 7 14 23 30 34 77 107 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] 39.34 192.12 9.67 78.71 321s 321s Robust Estimate of Covariance: 321s Ozone Solar.R Wind Temp 321s Ozone 973.104 894.011 -61.856 243.560 321s Solar.R 894.011 9677.269 0.388 179.429 321s Wind -61.856 0.388 11.287 -14.310 321s Temp 243.560 179.429 -14.310 96.714 321s -------------------------------------------------------- 321s attitude 30 7 2.091968 321s Outliers: 4 321s [1] 14 16 18 24 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] 65.7 66.8 51.9 56.1 66.4 76.7 43.0 321s 321s Robust Estimate of Covariance: 321s rating complaints privileges learning raises critical advance 321s rating 170.59 136.40 77.41 125.46 99.72 8.01 49.52 321s complaints 136.40 170.94 94.62 136.73 120.76 23.52 78.52 321s privileges 77.41 94.62 150.49 112.77 87.92 6.43 72.33 321s learning 125.46 136.73 112.77 173.77 131.46 25.81 81.38 321s raises 99.72 120.76 87.92 131.46 136.76 29.50 91.70 321s critical 8.01 23.52 6.43 25.81 29.50 84.75 30.59 321s advance 49.52 78.52 72.33 81.38 91.70 30.59 116.28 321s -------------------------------------------------------- 321s attenu 182 5 1.148032 321s Outliers: 31 321s [1] 2 5 6 7 8 9 10 11 15 16 19 20 21 22 23 24 25 27 28 321s [20] 29 30 31 32 64 65 80 94 95 96 97 100 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] 16.432 5.849 60.297 27.144 0.134 321s 321s Robust Estimate of Covariance: 321s event mag station dist accel 321s event 54.9236 -3.0733 181.0954 -49.4194 -0.0628 321s mag -3.0733 0.6530 -8.4388 6.7388 0.0161 321s station 181.0954 -8.4388 1689.7161 -114.6319 0.7285 321s dist -49.4194 6.7388 -114.6319 597.3606 -1.7988 321s accel -0.0628 0.0161 0.7285 -1.7988 0.0152 321s -------------------------------------------------------- 321s USJudgeRatings 43 12 -1.683847 321s Outliers: 7 321s [1] 5 7 12 13 14 23 31 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] 7.43 8.16 7.75 7.89 7.68 7.76 7.67 7.67 7.51 7.58 8.19 7.86 321s 321s Robust Estimate of Covariance: 321s CONT INTG DMNR DILG CFMG DECI PREP FAMI 321s CONT 0.8710 -0.3019 -0.4682 -0.1893 -0.0569 -0.0992 -0.1771 -0.1975 321s INTG -0.3019 0.6401 0.8598 0.6955 0.5732 0.5439 0.7091 0.7084 321s DMNR -0.4682 0.8598 1.2412 0.9107 0.7668 0.7305 0.9292 0.9158 321s DILG -0.1893 0.6955 0.9107 0.8554 0.7408 0.7036 0.8865 0.8791 321s CFMG -0.0569 0.5732 0.7668 0.7408 0.6994 0.6545 0.7788 0.7721 321s DECI -0.0992 0.5439 0.7305 0.7036 0.6545 0.6342 0.7492 0.7511 321s PREP -0.1771 0.7091 0.9292 0.8865 0.7788 0.7492 0.9541 0.9556 321s FAMI -0.1975 0.7084 0.9158 0.8791 0.7721 0.7511 0.9556 0.9785 321s ORAL -0.2444 0.7453 0.9939 0.8917 0.7842 0.7551 0.9554 0.9680 321s WRIT -0.2344 0.7319 0.9649 0.8853 0.7781 0.7511 0.9498 0.9668 321s PHYS -0.1983 0.4676 0.6263 0.5629 0.5073 0.5039 0.5990 0.6140 321s RTEN -0.3152 0.8000 1.0798 0.9234 0.7952 0.7663 0.9637 0.9693 321s ORAL WRIT PHYS RTEN 321s CONT -0.2444 -0.2344 -0.1983 -0.3152 321s INTG 0.7453 0.7319 0.4676 0.8000 321s DMNR 0.9939 0.9649 0.6263 1.0798 321s DILG 0.8917 0.8853 0.5629 0.9234 321s CFMG 0.7842 0.7781 0.5073 0.7952 321s DECI 0.7551 0.7511 0.5039 0.7663 321s PREP 0.9554 0.9498 0.5990 0.9637 321s FAMI 0.9680 0.9668 0.6140 0.9693 321s ORAL 0.9853 0.9744 0.6280 1.0032 321s WRIT 0.9744 0.9711 0.6184 0.9870 321s PHYS 0.6280 0.6184 0.4716 0.6520 321s RTEN 1.0032 0.9870 0.6520 1.0622 321s -------------------------------------------------------- 321s USArrests 50 4 2.411726 321s Outliers: 4 321s [1] 2 28 33 39 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] 7.05 150.66 64.66 19.37 321s 321s Robust Estimate of Covariance: 321s Murder Assault UrbanPop Rape 321s Murder 23.8 380.8 19.2 29.7 321s Assault 380.8 8436.2 605.6 645.3 321s UrbanPop 19.2 605.6 246.5 78.8 321s Rape 29.7 645.3 78.8 77.3 321s -------------------------------------------------------- 321s longley 16 7 1.038316 321s Outliers: 5 321s [1] 1 2 3 4 5 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] 107.6 440.8 339.7 292.5 121.0 1957.1 67.2 321s 321s Robust Estimate of Covariance: 321s GNP.deflator GNP Unemployed Armed.Forces Population 321s GNP.deflator 100.6 954.7 1147.1 -507.6 74.2 321s GNP 954.7 9430.9 10115.8 -4616.5 730.1 321s Unemployed 1147.1 10115.8 19838.3 -6376.9 850.6 321s Armed.Forces -507.6 -4616.5 -6376.9 3240.2 -351.3 321s Population 74.2 730.1 850.6 -351.3 57.5 321s Year 46.4 450.8 539.5 -233.0 35.3 321s Employed 30.8 310.5 274.0 -160.8 23.3 321s Year Employed 321s GNP.deflator 46.4 30.8 321s GNP 450.8 310.5 321s Unemployed 539.5 274.0 321s Armed.Forces -233.0 -160.8 321s Population 35.3 23.3 321s Year 21.9 14.6 321s Employed 14.6 11.2 321s -------------------------------------------------------- 321s Loblolly 84 3 1.481317 321s Outliers: 14 321s [1] 6 12 18 24 30 36 42 48 54 60 66 72 78 84 321s ------------- 321s 321s Call: 321s CovSest(x = x, method = method) 321s -> Method: S-estimates: S-FAST 321s 321s Robust Estimate of Location: 321s [1] 24.22 9.65 7.50 321s 321s Robust Estimate of Covariance: 321s height age Seed 321s height 525.08 179.21 14.27 321s age 179.21 61.85 2.94 321s Seed 14.27 2.94 25.86 321s -------------------------------------------------------- 322s quakes 1000 4 1.576855 322s Outliers: 223 322s [1] 7 12 15 17 22 25 27 28 32 37 40 41 45 48 53 322s [16] 63 64 73 78 87 91 92 94 99 108 110 117 118 119 120 322s [31] 121 122 126 133 136 141 143 145 148 152 154 155 157 159 160 322s [46] 163 170 192 205 222 226 230 239 243 250 251 252 254 258 263 322s [61] 267 268 271 283 292 300 301 305 311 312 318 320 321 325 328 322s [76] 330 334 352 357 360 365 381 382 384 389 400 402 408 413 416 322s [91] 417 419 426 429 437 441 443 453 456 467 474 477 490 492 496 322s [106] 504 507 508 509 517 524 527 528 531 532 534 536 538 539 541 322s [121] 542 543 544 545 546 547 552 553 560 571 581 583 587 593 594 322s [136] 596 597 605 612 613 618 620 625 629 638 642 647 649 653 655 322s [151] 656 672 675 681 686 699 701 702 712 714 716 721 725 726 735 322s [166] 744 754 756 759 765 766 769 779 781 782 785 787 797 804 813 322s [181] 825 827 837 840 844 852 853 857 860 865 866 869 870 872 873 322s [196] 883 884 887 888 890 891 893 908 909 912 915 916 921 927 930 322s [211] 952 962 963 969 974 980 982 986 987 988 992 997 1000 322s ------------- 322s 322s Call: 322s CovSest(x = x, method = method) 322s -> Method: S-estimates: S-FAST 322s 322s Robust Estimate of Location: 322s [1] -21.54 182.35 369.21 4.54 322s 322s Robust Estimate of Covariance: 322s lat long depth mag 322s lat 2.81e+01 6.19e+00 3.27e+02 -4.56e-01 322s long 6.19e+00 7.54e+00 -5.95e+02 9.56e-02 322s depth 3.27e+02 -5.95e+02 8.36e+04 -2.70e+01 322s mag -4.56e-01 9.56e-02 -2.70e+01 2.35e-01 322s -------------------------------------------------------- 322s =================================================== 322s > dodata(method="sdet") 322s 322s Call: dodata(method = "sdet") 322s Data Set n p LOG(det) Time 322s =================================================== 322s heart 12 2 2.017701 322s Outliers: 3 322s [1] 2 6 12 322s ------------- 322s 322s Call: 322s CovSest(x = x, method = method) 322s -> Method: S-estimates: DET-S 322s 322s Robust Estimate of Location: 322s [1] 36.1 29.5 322s 322s Robust Estimate of Covariance: 322s height weight 322s height 129 210 322s weight 210 365 322s -------------------------------------------------------- 322s starsCYG 47 2 -1.450032 322s Outliers: 7 322s [1] 7 9 11 14 20 30 34 322s ------------- 322s 322s Call: 322s CovSest(x = x, method = method) 322s -> Method: S-estimates: DET-S 322s 322s Robust Estimate of Location: 322s [1] 4.42 4.97 322s 322s Robust Estimate of Covariance: 322s log.Te log.light 322s log.Te 0.0176 0.0617 322s log.light 0.0617 0.3880 322s -------------------------------------------------------- 322s phosphor 18 2 2.320721 322s Outliers: 2 322s [1] 1 6 322s ------------- 322s 322s Call: 322s CovSest(x = x, method = method) 322s -> Method: S-estimates: DET-S 322s 322s Robust Estimate of Location: 322s [1] 14.1 38.8 322s 322s Robust Estimate of Covariance: 322s inorg organic 322s inorg 174 190 322s organic 190 268 322s -------------------------------------------------------- 322s stackloss 21 3 1.470031 322s Outliers: 3 322s [1] 1 2 3 322s ------------- 322s 322s Call: 322s CovSest(x = x, method = method) 322s -> Method: S-estimates: DET-S 322s 322s Robust Estimate of Location: 322s [1] 57.5 20.5 86.0 322s 322s Robust Estimate of Covariance: 322s Air.Flow Water.Temp Acid.Conc. 322s Air.Flow 38.94 11.66 22.89 322s Water.Temp 11.66 9.96 7.81 322s Acid.Conc. 22.89 7.81 40.48 322s -------------------------------------------------------- 322s coleman 20 5 0.491419 322s Outliers: 2 322s [1] 6 10 322s ------------- 322s 322s Call: 322s CovSest(x = x, method = method) 322s -> Method: S-estimates: DET-S 322s 322s Robust Estimate of Location: 322s [1] 2.77 45.58 4.13 25.13 6.39 322s 322s Robust Estimate of Covariance: 322s salaryP fatherWc sstatus teacherSc motherLev 322s salaryP 0.2209 1.9568 1.4389 0.2638 0.0674 322s fatherWc 1.9568 940.7409 307.8297 8.3290 21.9143 322s sstatus 1.4389 307.8297 134.0540 4.1808 7.4799 322s teacherSc 0.2638 8.3290 4.1808 0.7604 0.2917 322s motherLev 0.0674 21.9143 7.4799 0.2917 0.5817 322s -------------------------------------------------------- 322s salinity 28 3 0.734619 322s Outliers: 4 322s [1] 5 16 23 24 322s ------------- 322s 322s Call: 322s CovSest(x = x, method = method) 322s -> Method: S-estimates: DET-S 322s 322s Robust Estimate of Location: 322s [1] 10.31 3.07 22.60 322s 322s Robust Estimate of Covariance: 322s X1 X2 X3 322s X1 13.200 0.784 -3.611 322s X2 0.784 4.441 -1.658 322s X3 -3.611 -1.658 2.877 322s -------------------------------------------------------- 323s wood 20 5 -3.220754 323s Outliers: 4 323s [1] 4 6 8 19 323s ------------- 323s 323s Call: 323s CovSest(x = x, method = method) 323s -> Method: S-estimates: DET-S 323s 323s Robust Estimate of Location: 323s [1] 0.580 0.123 0.530 0.538 0.890 323s 323s Robust Estimate of Covariance: 323s x1 x2 x3 x4 x5 323s x1 8.16e-03 1.39e-03 1.97e-03 -2.82e-04 -7.61e-04 323s x2 1.39e-03 4.00e-04 8.14e-04 -8.51e-05 -5.07e-06 323s x3 1.97e-03 8.14e-04 4.74e-03 -9.59e-04 2.06e-05 323s x4 -2.82e-04 -8.51e-05 -9.59e-04 3.09e-03 1.87e-03 323s x5 -7.61e-04 -5.07e-06 2.06e-05 1.87e-03 2.28e-03 323s -------------------------------------------------------- 323s hbk 75 3 0.283145 323s Outliers: 14 323s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 323s ------------- 323s 323s Call: 323s CovSest(x = x, method = method) 323s -> Method: S-estimates: DET-S 323s 323s Robust Estimate of Location: 323s [1] 1.53 1.83 1.66 323s 323s Robust Estimate of Covariance: 323s X1 X2 X3 323s X1 1.8091 0.0479 0.2446 323s X2 0.0479 1.8190 0.2513 323s X3 0.2446 0.2513 1.7288 323s -------------------------------------------------------- 323s Animals 28 2 4.685129 323s Outliers: 10 323s [1] 2 6 7 9 12 14 15 16 24 25 323s ------------- 323s 323s Call: 323s CovSest(x = x, method = method) 323s -> Method: S-estimates: DET-S 323s 323s Robust Estimate of Location: 323s [1] 30.8 84.2 323s 323s Robust Estimate of Covariance: 323s body brain 323s body 14806 28767 323s brain 28767 65194 323s -------------------------------------------------------- 323s milk 86 8 -1.437863 323s Outliers: 15 323s [1] 1 2 3 12 13 14 15 16 17 41 44 47 70 74 75 323s ------------- 323s 323s Call: 323s CovSest(x = x, method = method) 323s -> Method: S-estimates: DET-S 323s 323s Robust Estimate of Location: 323s [1] 1.03 35.81 32.97 26.04 25.02 24.94 122.81 14.36 323s 323s Robust Estimate of Covariance: 323s X1 X2 X3 X4 X5 X6 X7 323s X1 8.30e-07 2.53e-04 4.43e-04 4.02e-04 3.92e-04 3.96e-04 1.44e-03 323s X2 2.53e-04 2.24e+00 4.77e-01 3.63e-01 2.91e-01 3.94e-01 2.44e+00 323s X3 4.43e-04 4.77e-01 1.58e+00 1.20e+00 1.18e+00 1.19e+00 1.65e+00 323s X4 4.02e-04 3.63e-01 1.20e+00 9.74e-01 9.37e-01 9.39e-01 1.39e+00 323s X5 3.92e-04 2.91e-01 1.18e+00 9.37e-01 9.78e-01 9.44e-01 1.37e+00 323s X6 3.96e-04 3.94e-01 1.19e+00 9.39e-01 9.44e-01 9.82e-01 1.41e+00 323s X7 1.44e-03 2.44e+00 1.65e+00 1.39e+00 1.37e+00 1.41e+00 6.96e+00 323s X8 7.45e-05 3.33e-01 2.82e-01 2.01e-01 1.80e-01 1.91e-01 6.38e-01 323s X8 323s X1 7.45e-05 323s X2 3.33e-01 323s X3 2.82e-01 323s X4 2.01e-01 323s X5 1.80e-01 323s X6 1.91e-01 323s X7 6.38e-01 323s X8 2.01e-01 323s -------------------------------------------------------- 324s bushfire 38 5 2.443148 324s Outliers: 13 324s [1] 7 8 9 10 11 31 32 33 34 35 36 37 38 324s ------------- 324s 324s Call: 324s CovSest(x = x, method = method) 324s -> Method: S-estimates: DET-S 324s 324s Robust Estimate of Location: 324s [1] 108 149 266 216 278 324s 324s Robust Estimate of Covariance: 324s V1 V2 V3 V4 V5 324s V1 911 688 -3961 -856 -707 324s V2 688 587 -2493 -492 -420 324s V3 -3961 -2493 24146 5765 4627 324s V4 -856 -492 5765 1477 1164 324s V5 -707 -420 4627 1164 925 324s -------------------------------------------------------- 324s rice 105 5 -0.724874 324s Outliers: 7 324s [1] 9 40 42 49 57 58 71 324s ------------- 324s 324s Call: 324s CovSest(x = x, method = method) 324s -> Method: S-estimates: DET-S 324s 324s Robust Estimate of Location: 324s [1] -0.2472 0.1211 -0.1207 0.0715 0.0640 324s 324s Robust Estimate of Covariance: 324s Favor Appearance Taste Stickiness Toughness 324s Favor 0.423 0.345 0.427 0.405 -0.202 324s Appearance 0.345 0.592 0.570 0.549 -0.316 324s Taste 0.427 0.570 0.739 0.706 -0.393 324s Stickiness 0.405 0.549 0.706 0.876 -0.497 324s Toughness -0.202 -0.316 -0.393 -0.497 0.467 324s -------------------------------------------------------- 324s hemophilia 75 2 -1.868949 324s Outliers: 2 324s [1] 11 36 324s ------------- 324s 324s Call: 324s CovSest(x = x, method = method) 324s -> Method: S-estimates: DET-S 324s 324s Robust Estimate of Location: 324s [1] -0.2126 -0.0357 324s 324s Robust Estimate of Covariance: 324s AHFactivity AHFantigen 324s AHFactivity 0.0317 0.0112 324s AHFantigen 0.0112 0.0218 324s -------------------------------------------------------- 324s fish 159 6 1.267294 324s Outliers: 33 324s [1] 61 72 73 74 75 76 77 78 79 80 81 82 83 85 86 87 88 89 90 324s [20] 91 92 93 94 95 96 97 98 99 100 101 102 103 142 324s ------------- 324s 324s Call: 324s CovSest(x = x, method = method) 324s -> Method: S-estimates: DET-S 324s 324s Robust Estimate of Location: 324s [1] 381.2 25.6 27.8 30.8 31.0 14.9 324s 324s Robust Estimate of Covariance: 324s Weight Length1 Length2 Length3 Height Width 324s Weight 148372.04 3260.48 3508.71 3976.93 1507.43 127.94 324s Length1 3260.48 77.00 82.52 92.18 27.56 3.29 324s Length2 3508.71 82.52 88.57 99.20 30.83 3.43 324s Length3 3976.93 92.18 99.20 113.97 45.50 2.21 324s Height 1507.43 27.56 30.83 45.50 70.54 -4.95 324s Width 127.94 3.29 3.43 2.21 -4.95 2.28 324s -------------------------------------------------------- 325s airquality 153 4 2.684374 325s Outliers: 7 325s [1] 7 14 23 30 34 77 107 325s ------------- 325s 325s Call: 325s CovSest(x = x, method = method) 325s -> Method: S-estimates: DET-S 325s 325s Robust Estimate of Location: 325s [1] 39.34 192.12 9.67 78.71 325s 325s Robust Estimate of Covariance: 325s Ozone Solar.R Wind Temp 325s Ozone 973.104 894.011 -61.856 243.560 325s Solar.R 894.011 9677.269 0.388 179.429 325s Wind -61.856 0.388 11.287 -14.310 325s Temp 243.560 179.429 -14.310 96.714 325s -------------------------------------------------------- 325s attitude 30 7 2.091968 325s Outliers: 4 325s [1] 14 16 18 24 325s ------------- 325s 325s Call: 325s CovSest(x = x, method = method) 325s -> Method: S-estimates: DET-S 325s 325s Robust Estimate of Location: 325s [1] 65.7 66.8 51.9 56.1 66.4 76.7 43.0 325s 325s Robust Estimate of Covariance: 325s rating complaints privileges learning raises critical advance 325s rating 170.59 136.40 77.41 125.46 99.72 8.01 49.52 325s complaints 136.40 170.94 94.62 136.73 120.76 23.52 78.52 325s privileges 77.41 94.62 150.49 112.77 87.92 6.43 72.33 325s learning 125.46 136.73 112.77 173.77 131.46 25.81 81.38 325s raises 99.72 120.76 87.92 131.46 136.76 29.50 91.70 325s critical 8.01 23.52 6.43 25.81 29.50 84.75 30.59 325s advance 49.52 78.52 72.33 81.38 91.70 30.59 116.28 325s -------------------------------------------------------- 325s attenu 182 5 1.148032 325s Outliers: 31 325s [1] 2 5 6 7 8 9 10 11 15 16 19 20 21 22 23 24 25 27 28 325s [20] 29 30 31 32 64 65 80 94 95 96 97 100 325s ------------- 325s 325s Call: 325s CovSest(x = x, method = method) 325s -> Method: S-estimates: DET-S 325s 325s Robust Estimate of Location: 325s [1] 16.432 5.849 60.297 27.144 0.134 325s 325s Robust Estimate of Covariance: 325s event mag station dist accel 325s event 54.9236 -3.0733 181.0954 -49.4195 -0.0628 325s mag -3.0733 0.6530 -8.4388 6.7388 0.0161 325s station 181.0954 -8.4388 1689.7161 -114.6321 0.7285 325s dist -49.4195 6.7388 -114.6321 597.3609 -1.7988 325s accel -0.0628 0.0161 0.7285 -1.7988 0.0152 325s -------------------------------------------------------- 326s USJudgeRatings 43 12 -1.683847 326s Outliers: 7 326s [1] 5 7 12 13 14 23 31 326s ------------- 326s 326s Call: 326s CovSest(x = x, method = method) 326s -> Method: S-estimates: DET-S 326s 326s Robust Estimate of Location: 326s [1] 7.43 8.16 7.75 7.89 7.68 7.76 7.67 7.67 7.51 7.58 8.19 7.86 326s 326s Robust Estimate of Covariance: 326s CONT INTG DMNR DILG CFMG DECI PREP FAMI 326s CONT 0.8715 -0.3020 -0.4683 -0.1894 -0.0569 -0.0993 -0.1772 -0.1976 326s INTG -0.3020 0.6403 0.8600 0.6956 0.5733 0.5440 0.7093 0.7086 326s DMNR -0.4683 0.8600 1.2416 0.9109 0.7669 0.7307 0.9295 0.9161 326s DILG -0.1894 0.6956 0.9109 0.8555 0.7410 0.7037 0.8867 0.8793 326s CFMG -0.0569 0.5733 0.7669 0.7410 0.6995 0.6546 0.7789 0.7723 326s DECI -0.0993 0.5440 0.7307 0.7037 0.6546 0.6343 0.7493 0.7513 326s PREP -0.1772 0.7093 0.9295 0.8867 0.7789 0.7493 0.9543 0.9559 326s FAMI -0.1976 0.7086 0.9161 0.8793 0.7723 0.7513 0.9559 0.9788 326s ORAL -0.2445 0.7456 0.9942 0.8919 0.7844 0.7553 0.9557 0.9683 326s WRIT -0.2345 0.7321 0.9652 0.8856 0.7783 0.7513 0.9501 0.9671 326s PHYS -0.1986 0.4676 0.6264 0.5628 0.5072 0.5038 0.5990 0.6140 326s RTEN -0.3154 0.8002 1.0801 0.9236 0.7954 0.7665 0.9639 0.9695 326s ORAL WRIT PHYS RTEN 326s CONT -0.2445 -0.2345 -0.1986 -0.3154 326s INTG 0.7456 0.7321 0.4676 0.8002 326s DMNR 0.9942 0.9652 0.6264 1.0801 326s DILG 0.8919 0.8856 0.5628 0.9236 326s CFMG 0.7844 0.7783 0.5072 0.7954 326s DECI 0.7553 0.7513 0.5038 0.7665 326s PREP 0.9557 0.9501 0.5990 0.9639 326s FAMI 0.9683 0.9671 0.6140 0.9695 326s ORAL 0.9856 0.9748 0.6281 1.0035 326s WRIT 0.9748 0.9714 0.6184 0.9873 326s PHYS 0.6281 0.6184 0.4713 0.6520 326s RTEN 1.0035 0.9873 0.6520 1.0624 326s -------------------------------------------------------- 326s USArrests 50 4 2.411726 326s Outliers: 4 326s [1] 2 28 33 39 326s ------------- 326s 326s Call: 326s CovSest(x = x, method = method) 326s -> Method: S-estimates: DET-S 326s 326s Robust Estimate of Location: 326s [1] 7.05 150.66 64.66 19.37 326s 326s Robust Estimate of Covariance: 326s Murder Assault UrbanPop Rape 326s Murder 23.8 380.8 19.2 29.7 326s Assault 380.8 8436.2 605.6 645.3 326s UrbanPop 19.2 605.6 246.5 78.8 326s Rape 29.7 645.3 78.8 77.3 326s -------------------------------------------------------- 326s longley 16 7 1.143113 326s Outliers: 4 326s [1] 1 2 3 4 326s ------------- 326s 326s Call: 326s CovSest(x = x, method = method) 326s -> Method: S-estimates: DET-S 326s 326s Robust Estimate of Location: 326s [1] 107 435 334 293 120 1957 67 326s 326s Robust Estimate of Covariance: 326s GNP.deflator GNP Unemployed Armed.Forces Population 326s GNP.deflator 89.2 850.1 1007.4 -404.4 66.2 326s GNP 850.1 8384.4 9020.8 -3692.0 650.5 326s Unemployed 1007.4 9020.8 16585.4 -4990.7 752.5 326s Armed.Forces -404.4 -3692.0 -4990.7 2474.2 -280.9 326s Population 66.2 650.5 752.5 -280.9 51.2 326s Year 41.9 407.6 481.9 -186.4 31.9 326s Employed 27.9 279.7 255.6 -128.8 21.1 326s Year Employed 326s GNP.deflator 41.9 27.9 326s GNP 407.6 279.7 326s Unemployed 481.9 255.6 326s Armed.Forces -186.4 -128.8 326s Population 31.9 21.1 326s Year 20.2 13.4 326s Employed 13.4 10.1 326s -------------------------------------------------------- 326s Loblolly 84 3 1.481317 326s Outliers: 14 326s [1] 6 12 18 24 30 36 42 48 54 60 66 72 78 84 326s ------------- 326s 326s Call: 326s CovSest(x = x, method = method) 326s -> Method: S-estimates: DET-S 326s 326s Robust Estimate of Location: 326s [1] 24.22 9.65 7.50 326s 326s Robust Estimate of Covariance: 326s height age Seed 326s height 525.08 179.21 14.27 326s age 179.21 61.85 2.94 326s Seed 14.27 2.94 25.86 326s -------------------------------------------------------- 327s quakes 1000 4 1.576855 327s Outliers: 223 327s [1] 7 12 15 17 22 25 27 28 32 37 40 41 45 48 53 327s [16] 63 64 73 78 87 91 92 94 99 108 110 117 118 119 120 327s [31] 121 122 126 133 136 141 143 145 148 152 154 155 157 159 160 327s [46] 163 170 192 205 222 226 230 239 243 250 251 252 254 258 263 327s [61] 267 268 271 283 292 300 301 305 311 312 318 320 321 325 328 327s [76] 330 334 352 357 360 365 381 382 384 389 400 402 408 413 416 327s [91] 417 419 426 429 437 441 443 453 456 467 474 477 490 492 496 327s [106] 504 507 508 509 517 524 527 528 531 532 534 536 538 539 541 327s [121] 542 543 544 545 546 547 552 553 560 571 581 583 587 593 594 327s [136] 596 597 605 612 613 618 620 625 629 638 642 647 649 653 655 327s [151] 656 672 675 681 686 699 701 702 712 714 716 721 725 726 735 327s [166] 744 754 756 759 765 766 769 779 781 782 785 787 797 804 813 327s [181] 825 827 837 840 844 852 853 857 860 865 866 869 870 872 873 327s [196] 883 884 887 888 890 891 893 908 909 912 915 916 921 927 930 327s [211] 952 962 963 969 974 980 982 986 987 988 992 997 1000 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: DET-S 327s 327s Robust Estimate of Location: 327s [1] -21.54 182.35 369.21 4.54 327s 327s Robust Estimate of Covariance: 327s lat long depth mag 327s lat 2.81e+01 6.19e+00 3.27e+02 -4.56e-01 327s long 6.19e+00 7.54e+00 -5.95e+02 9.56e-02 327s depth 3.27e+02 -5.95e+02 8.36e+04 -2.70e+01 327s mag -4.56e-01 9.56e-02 -2.70e+01 2.35e-01 327s -------------------------------------------------------- 327s =================================================== 327s > ##dodata(method="suser") 327s > ##dodata(method="surreal") 327s > dodata(method="bisquare") 327s 327s Call: dodata(method = "bisquare") 327s Data Set n p LOG(det) Time 327s =================================================== 327s heart 12 2 7.721793 327s Outliers: 3 327s [1] 2 6 12 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s height weight 327s 36.1 29.4 327s 327s Robust Estimate of Covariance: 327s height weight 327s height 109 177 327s weight 177 307 327s -------------------------------------------------------- 327s starsCYG 47 2 -5.942108 327s Outliers: 7 327s [1] 7 9 11 14 20 30 34 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s log.Te log.light 327s 4.42 4.97 327s 327s Robust Estimate of Covariance: 327s log.Te log.light 327s log.Te 0.0164 0.0574 327s log.light 0.0574 0.3613 327s -------------------------------------------------------- 327s phosphor 18 2 9.269096 327s Outliers: 2 327s [1] 1 6 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s inorg organic 327s 14.1 38.7 327s 327s Robust Estimate of Covariance: 327s inorg organic 327s inorg 173 189 327s organic 189 268 327s -------------------------------------------------------- 327s stackloss 21 3 8.411100 327s Outliers: 3 327s [1] 1 2 3 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s Air.Flow Water.Temp Acid.Conc. 327s 57.5 20.5 86.0 327s 327s Robust Estimate of Covariance: 327s Air.Flow Water.Temp Acid.Conc. 327s Air.Flow 33.82 10.17 20.02 327s Water.Temp 10.17 8.70 6.84 327s Acid.Conc. 20.02 6.84 35.51 327s -------------------------------------------------------- 327s coleman 20 5 4.722046 327s Outliers: 2 327s [1] 6 10 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s salaryP fatherWc sstatus teacherSc motherLev 327s 2.77 45.59 4.14 25.13 6.39 327s 327s Robust Estimate of Covariance: 327s salaryP fatherWc sstatus teacherSc motherLev 327s salaryP 0.2135 1.8732 1.3883 0.2547 0.0648 327s fatherWc 1.8732 905.6704 296.1916 7.9820 21.0848 327s sstatus 1.3883 296.1916 128.9536 4.0196 7.1917 327s teacherSc 0.2547 7.9820 4.0196 0.7321 0.2799 327s motherLev 0.0648 21.0848 7.1917 0.2799 0.5592 327s -------------------------------------------------------- 327s salinity 28 3 4.169963 327s Outliers: 4 327s [1] 5 16 23 24 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s X1 X2 X3 327s 10.30 3.07 22.59 327s 327s Robust Estimate of Covariance: 327s X1 X2 X3 327s X1 12.234 0.748 -3.369 327s X2 0.748 4.115 -1.524 327s X3 -3.369 -1.524 2.655 327s -------------------------------------------------------- 327s wood 20 5 -33.862485 327s Outliers: 5 327s [1] 4 6 8 11 19 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s x1 x2 x3 x4 x5 327s 0.580 0.123 0.530 0.538 0.890 327s 327s Robust Estimate of Covariance: 327s x1 x2 x3 x4 x5 327s x1 5.88e-03 9.96e-04 1.43e-03 -1.96e-04 -5.46e-04 327s x2 9.96e-04 2.86e-04 5.89e-04 -5.78e-05 -2.24e-06 327s x3 1.43e-03 5.89e-04 3.42e-03 -6.95e-04 1.43e-05 327s x4 -1.96e-04 -5.78e-05 -6.95e-04 2.23e-03 1.35e-03 327s x5 -5.46e-04 -2.24e-06 1.43e-05 1.35e-03 1.65e-03 327s -------------------------------------------------------- 327s hbk 75 3 1.472421 327s Outliers: 14 327s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s X1 X2 X3 327s 1.53 1.83 1.66 327s 327s Robust Estimate of Covariance: 327s X1 X2 X3 327s X1 1.6775 0.0447 0.2268 327s X2 0.0447 1.6865 0.2325 327s X3 0.2268 0.2325 1.6032 327s -------------------------------------------------------- 327s Animals 28 2 18.528307 327s Outliers: 11 327s [1] 2 6 7 9 12 14 15 16 24 25 28 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s body brain 327s 30.7 84.1 327s 327s Robust Estimate of Covariance: 327s body brain 327s body 13278 25795 327s brain 25795 58499 327s -------------------------------------------------------- 327s milk 86 8 -24.816943 327s Outliers: 19 327s [1] 1 2 3 11 12 13 14 15 16 17 20 27 41 44 47 70 74 75 77 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s X1 X2 X3 X4 X5 X6 X7 X8 327s 1.03 35.81 32.96 26.04 25.02 24.94 122.79 14.35 327s 327s Robust Estimate of Covariance: 327s X1 X2 X3 X4 X5 X6 X7 327s X1 6.80e-07 2.20e-04 3.70e-04 3.35e-04 3.27e-04 3.30e-04 1.21e-03 327s X2 2.20e-04 1.80e+00 3.96e-01 3.03e-01 2.45e-01 3.27e-01 2.00e+00 327s X3 3.70e-04 3.96e-01 1.27e+00 9.68e-01 9.49e-01 9.56e-01 1.37e+00 327s X4 3.35e-04 3.03e-01 9.68e-01 7.86e-01 7.55e-01 7.57e-01 1.15e+00 327s X5 3.27e-04 2.45e-01 9.49e-01 7.55e-01 7.88e-01 7.61e-01 1.14e+00 327s X6 3.30e-04 3.27e-01 9.56e-01 7.57e-01 7.61e-01 7.90e-01 1.17e+00 327s X7 1.21e-03 2.00e+00 1.37e+00 1.15e+00 1.14e+00 1.17e+00 5.71e+00 327s X8 6.57e-05 2.71e-01 2.30e-01 1.64e-01 1.48e-01 1.57e-01 5.27e-01 327s X8 327s X1 6.57e-05 327s X2 2.71e-01 327s X3 2.30e-01 327s X4 1.64e-01 327s X5 1.48e-01 327s X6 1.57e-01 327s X7 5.27e-01 327s X8 1.62e-01 327s -------------------------------------------------------- 327s bushfire 38 5 21.704243 327s Outliers: 13 327s [1] 7 8 9 10 11 31 32 33 34 35 36 37 38 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s V1 V2 V3 V4 V5 327s 108 149 266 216 278 327s 327s Robust Estimate of Covariance: 327s V1 V2 V3 V4 V5 327s V1 528 398 -2298 -497 -410 327s V2 398 340 -1445 -285 -244 327s V3 -2298 -1445 14026 3348 2687 327s V4 -497 -285 3348 857 676 327s V5 -410 -244 2687 676 537 327s -------------------------------------------------------- 327s rice 105 5 -7.346939 327s Outliers: 8 327s [1] 9 14 40 42 49 57 58 71 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s Favor Appearance Taste Stickiness Toughness 327s -0.2480 0.1203 -0.1213 0.0710 0.0644 327s 327s Robust Estimate of Covariance: 327s Favor Appearance Taste Stickiness Toughness 327s Favor 0.415 0.338 0.419 0.398 -0.198 327s Appearance 0.338 0.580 0.559 0.539 -0.310 327s Taste 0.419 0.559 0.725 0.693 -0.386 327s Stickiness 0.398 0.539 0.693 0.859 -0.487 327s Toughness -0.198 -0.310 -0.386 -0.487 0.457 327s -------------------------------------------------------- 327s hemophilia 75 2 -7.465173 327s Outliers: 2 327s [1] 11 36 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s AHFactivity AHFantigen 327s -0.2128 -0.0366 327s 327s Robust Estimate of Covariance: 327s AHFactivity AHFantigen 327s AHFactivity 0.0321 0.0115 327s AHFantigen 0.0115 0.0220 327s -------------------------------------------------------- 327s fish 159 6 13.465134 327s Outliers: 35 327s [1] 38 61 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 327s [20] 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 142 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s Weight Length1 Length2 Length3 Height Width 327s 381.4 25.6 27.8 30.8 31.0 14.9 327s 327s Robust Estimate of Covariance: 327s Weight Length1 Length2 Length3 Height Width 327s Weight 111094.92 2440.81 2626.59 2976.92 1129.78 95.85 327s Length1 2440.81 57.63 61.75 68.98 20.67 2.46 327s Length2 2626.59 61.75 66.28 74.24 23.13 2.57 327s Length3 2976.92 68.98 74.24 85.29 34.11 1.65 327s Height 1129.78 20.67 23.13 34.11 52.75 -3.70 327s Width 95.85 2.46 2.57 1.65 -3.70 1.71 327s -------------------------------------------------------- 327s airquality 153 4 21.282926 327s Outliers: 8 327s [1] 7 11 14 23 30 34 77 107 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s Ozone Solar.R Wind Temp 327s 39.40 192.29 9.66 78.74 327s 327s Robust Estimate of Covariance: 327s Ozone Solar.R Wind Temp 327s Ozone 930.566 849.644 -59.157 232.459 327s Solar.R 849.644 9207.569 0.594 168.122 327s Wind -59.157 0.594 10.783 -13.645 327s Temp 232.459 168.122 -13.645 92.048 327s -------------------------------------------------------- 327s attitude 30 7 28.084183 327s Outliers: 6 327s [1] 6 9 14 16 18 24 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s rating complaints privileges learning raises critical 327s 65.7 66.8 51.9 56.1 66.4 76.7 327s advance 327s 43.0 327s 327s Robust Estimate of Covariance: 327s rating complaints privileges learning raises critical advance 327s rating 143.88 114.95 64.97 105.69 83.95 6.96 41.78 327s complaints 114.95 143.84 79.28 115.00 101.48 19.69 66.13 327s privileges 64.97 79.28 126.38 94.70 73.87 5.37 61.07 327s learning 105.69 115.00 94.70 146.14 110.50 21.67 68.49 327s raises 83.95 101.48 73.87 110.50 115.01 24.91 77.16 327s critical 6.96 19.69 5.37 21.67 24.91 71.74 25.88 327s advance 41.78 66.13 61.07 68.49 77.16 25.88 97.71 327s -------------------------------------------------------- 327s attenu 182 5 10.109049 327s Outliers: 35 327s [1] 2 4 5 6 7 8 9 10 11 15 16 19 20 21 22 23 24 25 27 327s [20] 28 29 30 31 32 64 65 80 93 94 95 96 97 98 99 100 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s event mag station dist accel 327s 16.418 5.850 60.243 27.307 0.134 327s 327s Robust Estimate of Covariance: 327s event mag station dist accel 327s event 41.9000 -2.3543 137.8110 -39.0321 -0.0447 327s mag -2.3543 0.4978 -6.4461 5.2644 0.0118 327s station 137.8110 -6.4461 1283.9675 -90.1657 0.5554 327s dist -39.0321 5.2644 -90.1657 462.3898 -1.3672 327s accel -0.0447 0.0118 0.5554 -1.3672 0.0114 327s -------------------------------------------------------- 327s USJudgeRatings 43 12 -43.367499 327s Outliers: 10 327s [1] 5 7 8 12 13 14 20 23 31 35 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s CONT INTG DMNR DILG CFMG DECI PREP FAMI ORAL WRIT PHYS RTEN 327s 7.43 8.16 7.75 7.89 7.69 7.76 7.68 7.67 7.52 7.59 8.19 7.87 327s 327s Robust Estimate of Covariance: 327s CONT INTG DMNR DILG CFMG DECI PREP FAMI 327s CONT 0.6895 -0.2399 -0.3728 -0.1514 -0.0461 -0.0801 -0.1419 -0.1577 327s INTG -0.2399 0.5021 0.6746 0.5446 0.4479 0.4254 0.5564 0.5558 327s DMNR -0.3728 0.6746 0.9753 0.7128 0.5992 0.5715 0.7289 0.7181 327s DILG -0.1514 0.5446 0.7128 0.6691 0.5789 0.5501 0.6949 0.6892 327s CFMG -0.0461 0.4479 0.5992 0.5789 0.5468 0.5118 0.6100 0.6049 327s DECI -0.0801 0.4254 0.5715 0.5501 0.5118 0.4965 0.5872 0.5890 327s PREP -0.1419 0.5564 0.7289 0.6949 0.6100 0.5872 0.7497 0.7511 327s FAMI -0.1577 0.5558 0.7181 0.6892 0.6049 0.5890 0.7511 0.7696 327s ORAL -0.1950 0.5848 0.7798 0.6990 0.6143 0.5921 0.7508 0.7610 327s WRIT -0.1866 0.5747 0.7575 0.6946 0.6101 0.5895 0.7470 0.7607 327s PHYS -0.1620 0.3640 0.4878 0.4361 0.3927 0.3910 0.4655 0.4779 327s RTEN -0.2522 0.6268 0.8462 0.7220 0.6210 0.5991 0.7553 0.7599 327s ORAL WRIT PHYS RTEN 327s CONT -0.1950 -0.1866 -0.1620 -0.2522 327s INTG 0.5848 0.5747 0.3640 0.6268 327s DMNR 0.7798 0.7575 0.4878 0.8462 327s DILG 0.6990 0.6946 0.4361 0.7220 327s CFMG 0.6143 0.6101 0.3927 0.6210 327s DECI 0.5921 0.5895 0.3910 0.5991 327s PREP 0.7508 0.7470 0.4655 0.7553 327s FAMI 0.7610 0.7607 0.4779 0.7599 327s ORAL 0.7745 0.7665 0.4893 0.7866 327s WRIT 0.7665 0.7645 0.4823 0.7745 327s PHYS 0.4893 0.4823 0.3620 0.5062 327s RTEN 0.7866 0.7745 0.5062 0.8313 327s -------------------------------------------------------- 327s USArrests 50 4 19.266763 327s Outliers: 4 327s [1] 2 28 33 39 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s Murder Assault UrbanPop Rape 327s 7.04 150.55 64.64 19.34 327s 327s Robust Estimate of Covariance: 327s Murder Assault UrbanPop Rape 327s Murder 23.7 378.9 19.1 29.5 327s Assault 378.9 8388.2 601.3 639.7 327s UrbanPop 19.1 601.3 245.3 77.9 327s Rape 29.5 639.7 77.9 76.3 327s -------------------------------------------------------- 327s longley 16 7 13.789499 327s Outliers: 4 327s [1] 1 2 3 4 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s GNP.deflator GNP Unemployed Armed.Forces Population 327s 107 435 333 293 120 327s Year Employed 327s 1957 67 327s 327s Robust Estimate of Covariance: 327s GNP.deflator GNP Unemployed Armed.Forces Population 327s GNP.deflator 65.05 619.75 734.33 -294.02 48.27 327s GNP 619.75 6112.14 6578.12 -2684.52 474.26 327s Unemployed 734.33 6578.12 12075.90 -3627.79 548.58 327s Armed.Forces -294.02 -2684.52 -3627.79 1797.05 -204.25 327s Population 48.27 474.26 548.58 -204.25 37.36 327s Year 30.58 297.29 351.44 -135.53 23.29 327s Employed 20.36 203.96 186.62 -93.64 15.42 327s Year Employed 327s GNP.deflator 30.58 20.36 327s GNP 297.29 203.96 327s Unemployed 351.44 186.62 327s Armed.Forces -135.53 -93.64 327s Population 23.29 15.42 327s Year 14.70 9.80 327s Employed 9.80 7.36 327s -------------------------------------------------------- 327s Loblolly 84 3 8.518440 327s Outliers: 14 327s [1] 6 12 18 24 30 36 42 48 54 60 66 72 78 84 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s height age Seed 327s 24.14 9.62 7.51 327s 327s Robust Estimate of Covariance: 327s height age Seed 327s height 464.64 158.43 12.83 327s age 158.43 54.62 2.67 327s Seed 12.83 2.67 22.98 327s -------------------------------------------------------- 327s quakes 1000 4 11.611413 327s Outliers: 234 327s [1] 7 12 15 17 22 25 27 28 32 37 40 41 45 48 53 327s [16] 63 64 73 78 87 91 92 94 99 108 110 117 118 119 120 327s [31] 121 122 126 133 136 141 143 145 148 152 154 155 157 159 160 327s [46] 163 166 170 174 192 205 222 226 230 239 243 250 251 252 254 327s [61] 258 263 267 268 271 283 292 297 300 301 305 311 312 318 320 327s [76] 321 325 328 330 331 334 352 357 360 365 368 376 381 382 384 327s [91] 389 399 400 402 408 413 416 417 418 419 426 429 437 441 443 327s [106] 453 456 467 474 477 490 492 496 504 507 508 509 517 524 527 327s [121] 528 531 532 534 536 538 539 541 542 543 544 545 546 547 552 327s [136] 553 558 560 570 571 581 583 587 593 594 596 597 605 612 613 327s [151] 618 620 625 629 638 642 647 649 653 655 656 672 675 681 686 327s [166] 699 701 702 712 714 716 721 725 726 735 744 753 754 756 759 327s [181] 765 766 769 779 781 782 785 787 797 804 813 825 827 837 840 327s [196] 844 852 853 857 860 865 866 869 870 872 873 883 884 887 888 327s [211] 890 891 893 908 909 912 915 916 921 927 930 952 962 963 969 327s [226] 974 980 982 986 987 988 992 997 1000 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: bisquare 327s 327s Robust Estimate of Location: 327s lat long depth mag 327s -21.54 182.35 369.29 4.54 327s 327s Robust Estimate of Covariance: 327s lat long depth mag 327s lat 2.18e+01 4.82e+00 2.53e+02 -3.54e-01 327s long 4.82e+00 5.87e+00 -4.63e+02 7.45e-02 327s depth 2.53e+02 -4.63e+02 6.51e+04 -2.10e+01 327s mag -3.54e-01 7.45e-02 -2.10e+01 1.83e-01 327s -------------------------------------------------------- 327s =================================================== 327s > dodata(method="rocke") 327s 327s Call: dodata(method = "rocke") 327s Data Set n p LOG(det) Time 327s =================================================== 327s heart 12 2 7.285196 327s Outliers: 3 327s [1] 2 6 12 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: Rocke type 327s 327s Robust Estimate of Location: 327s height weight 327s 34.3 26.1 327s 327s Robust Estimate of Covariance: 327s height weight 327s height 105 159 327s weight 159 256 327s -------------------------------------------------------- 327s starsCYG 47 2 -5.929361 327s Outliers: 7 327s [1] 7 9 11 14 20 30 34 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: Rocke type 327s 327s Robust Estimate of Location: 327s log.Te log.light 327s 4.42 4.93 327s 327s Robust Estimate of Covariance: 327s log.Te log.light 327s log.Te 0.0193 0.0709 327s log.light 0.0709 0.3987 327s -------------------------------------------------------- 327s phosphor 18 2 8.907518 327s Outliers: 3 327s [1] 1 6 10 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: Rocke type 327s 327s Robust Estimate of Location: 327s inorg organic 327s 15.8 39.4 327s 327s Robust Estimate of Covariance: 327s inorg organic 327s inorg 196 252 327s organic 252 360 327s -------------------------------------------------------- 327s stackloss 21 3 8.143313 327s Outliers: 4 327s [1] 1 2 3 21 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: Rocke type 327s 327s Robust Estimate of Location: 327s Air.Flow Water.Temp Acid.Conc. 327s 56.8 20.2 86.4 327s 327s Robust Estimate of Covariance: 327s Air.Flow Water.Temp Acid.Conc. 327s Air.Flow 29.26 9.62 14.78 327s Water.Temp 9.62 8.54 6.25 327s Acid.Conc. 14.78 6.25 29.70 327s -------------------------------------------------------- 327s coleman 20 5 4.001659 327s Outliers: 5 327s [1] 2 6 9 10 13 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: Rocke type 327s 327s Robust Estimate of Location: 327s salaryP fatherWc sstatus teacherSc motherLev 327s 2.81 40.27 2.11 25.01 6.27 327s 327s Robust Estimate of Covariance: 327s salaryP fatherWc sstatus teacherSc motherLev 327s salaryP 0.2850 1.1473 2.0254 0.3536 0.0737 327s fatherWc 1.1473 798.0714 278.0145 6.4590 18.6357 327s sstatus 2.0254 278.0145 128.7601 4.0666 6.3845 327s teacherSc 0.3536 6.4590 4.0666 0.8749 0.2980 327s motherLev 0.0737 18.6357 6.3845 0.2980 0.4948 327s -------------------------------------------------------- 327s salinity 28 3 3.455146 327s Outliers: 9 327s [1] 3 5 10 11 15 16 17 23 24 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: Rocke type 327s 327s Robust Estimate of Location: 327s X1 X2 X3 327s 9.89 3.10 22.46 327s 327s Robust Estimate of Covariance: 327s X1 X2 X3 327s X1 12.710 1.868 -4.135 327s X2 1.868 4.710 -0.663 327s X3 -4.135 -0.663 1.907 327s -------------------------------------------------------- 327s wood 20 5 -35.020244 327s Outliers: 7 327s [1] 4 6 7 8 11 16 19 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: Rocke type 327s 327s Robust Estimate of Location: 327s x1 x2 x3 x4 x5 327s 0.588 0.123 0.534 0.535 0.891 327s 327s Robust Estimate of Covariance: 327s x1 x2 x3 x4 x5 327s x1 6.60e-03 1.25e-03 2.16e-03 -3.73e-04 -1.10e-03 327s x2 1.25e-03 3.30e-04 8.91e-04 -1.23e-05 2.62e-05 327s x3 2.16e-03 8.91e-04 4.55e-03 -4.90e-04 1.93e-04 327s x4 -3.73e-04 -1.23e-05 -4.90e-04 2.01e-03 1.36e-03 327s x5 -1.10e-03 2.62e-05 1.93e-04 1.36e-03 1.95e-03 327s -------------------------------------------------------- 327s hbk 75 3 1.413303 327s Outliers: 14 327s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: Rocke type 327s 327s Robust Estimate of Location: 327s X1 X2 X3 327s 1.56 1.77 1.68 327s 327s Robust Estimate of Covariance: 327s X1 X2 X3 327s X1 1.6483 0.0825 0.2133 327s X2 0.0825 1.6928 0.2334 327s X3 0.2133 0.2334 1.5334 327s -------------------------------------------------------- 327s Animals 28 2 17.787210 327s Outliers: 11 327s [1] 2 6 7 9 12 14 15 16 24 25 28 327s ------------- 327s 327s Call: 327s CovSest(x = x, method = method) 327s -> Method: S-estimates: Rocke type 327s 327s Robust Estimate of Location: 327s body brain 327s 60.6 150.2 327s 327s Robust Estimate of Covariance: 327s body brain 327s body 10670 19646 327s brain 19646 41147 327s -------------------------------------------------------- 328s milk 86 8 -25.169970 328s Outliers: 22 328s [1] 1 2 3 11 12 13 14 15 16 17 18 20 27 28 41 44 47 70 73 74 75 77 328s ------------- 328s 328s Call: 328s CovSest(x = x, method = method) 328s -> Method: S-estimates: Rocke type 328s 328s Robust Estimate of Location: 328s X1 X2 X3 X4 X5 X6 X7 X8 328s 1.03 35.87 33.14 26.19 25.17 25.11 123.16 14.41 328s 328s Robust Estimate of Covariance: 328s X1 X2 X3 X4 X5 X6 X7 328s X1 4.47e-07 1.77e-04 1.94e-04 1.79e-04 1.60e-04 1.45e-04 6.45e-04 328s X2 1.77e-04 2.36e+00 4.03e-01 3.08e-01 2.08e-01 3.45e-01 2.18e+00 328s X3 1.94e-04 4.03e-01 1.13e+00 8.31e-01 8.08e-01 7.79e-01 9.83e-01 328s X4 1.79e-04 3.08e-01 8.31e-01 6.62e-01 6.22e-01 5.95e-01 7.82e-01 328s X5 1.60e-04 2.08e-01 8.08e-01 6.22e-01 6.51e-01 5.93e-01 7.60e-01 328s X6 1.45e-04 3.45e-01 7.79e-01 5.95e-01 5.93e-01 5.88e-01 7.81e-01 328s X7 6.45e-04 2.18e+00 9.83e-01 7.82e-01 7.60e-01 7.81e-01 4.81e+00 328s X8 2.47e-05 2.57e-01 2.00e-01 1.37e-01 1.13e-01 1.28e-01 4.38e-01 328s X8 328s X1 2.47e-05 328s X2 2.57e-01 328s X3 2.00e-01 328s X4 1.37e-01 328s X5 1.13e-01 328s X6 1.28e-01 328s X7 4.38e-01 328s X8 1.61e-01 328s -------------------------------------------------------- 328s bushfire 38 5 21.641566 328s Outliers: 13 328s [1] 7 8 9 10 11 31 32 33 34 35 36 37 38 328s ------------- 328s 328s Call: 328s CovSest(x = x, method = method) 328s -> Method: S-estimates: Rocke type 328s 328s Robust Estimate of Location: 328s V1 V2 V3 V4 V5 328s 111 150 256 214 276 328s 328s Robust Estimate of Covariance: 328s V1 V2 V3 V4 V5 328s V1 554 408 -2321 -464 -393 328s V2 408 343 -1361 -244 -215 328s V3 -2321 -1361 14690 3277 2684 328s V4 -464 -244 3277 783 629 328s V5 -393 -215 2684 629 509 328s -------------------------------------------------------- 328s rice 105 5 -7.208835 328s Outliers: 8 328s [1] 9 14 40 42 49 57 58 71 328s ------------- 328s 328s Call: 328s CovSest(x = x, method = method) 328s -> Method: S-estimates: Rocke type 328s 328s Robust Estimate of Location: 328s Favor Appearance Taste Stickiness Toughness 328s -0.21721 0.20948 -0.04581 0.15355 -0.00254 328s 328s Robust Estimate of Covariance: 328s Favor Appearance Taste Stickiness Toughness 328s Favor 0.432 0.337 0.417 0.382 -0.201 328s Appearance 0.337 0.591 0.553 0.510 -0.295 328s Taste 0.417 0.553 0.735 0.683 -0.385 328s Stickiness 0.382 0.510 0.683 0.834 -0.462 328s Toughness -0.201 -0.295 -0.385 -0.462 0.408 328s -------------------------------------------------------- 328s hemophilia 75 2 -7.453807 328s Outliers: 2 328s [1] 46 53 328s ------------- 328s 328s Call: 328s CovSest(x = x, method = method) 328s -> Method: S-estimates: Rocke type 328s 328s Robust Estimate of Location: 328s AHFactivity AHFantigen 328s -0.2276 -0.0637 328s 328s Robust Estimate of Covariance: 328s AHFactivity AHFantigen 328s AHFactivity 0.0405 0.0221 328s AHFantigen 0.0221 0.0263 328s -------------------------------------------------------- 328s fish 159 6 13.110263 328s Outliers: 47 328s [1] 38 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 328s [20] 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 328s [39] 98 99 100 101 102 103 104 140 142 328s ------------- 328s 328s Call: 328s CovSest(x = x, method = method) 328s -> Method: S-estimates: Rocke type 328s 328s Robust Estimate of Location: 328s Weight Length1 Length2 Length3 Height Width 328s 452.1 27.2 29.5 32.6 30.8 15.0 328s 328s Robust Estimate of Covariance: 328s Weight Length1 Length2 Length3 Height Width 328s Weight 132559.85 2817.97 3035.69 3369.07 1231.68 112.19 328s Length1 2817.97 64.16 68.74 75.36 22.52 2.37 328s Length2 3035.69 68.74 73.77 81.12 25.57 2.47 328s Length3 3369.07 75.36 81.12 91.65 37.39 1.40 328s Height 1231.68 22.52 25.57 37.39 50.91 -3.92 328s Width 112.19 2.37 2.47 1.40 -3.92 1.87 328s -------------------------------------------------------- 328s airquality 153 4 21.181656 328s Outliers: 13 328s [1] 6 7 11 14 17 20 23 30 34 53 63 77 107 328s ------------- 328s 328s Call: 328s CovSest(x = x, method = method) 328s -> Method: S-estimates: Rocke type 328s 328s Robust Estimate of Location: 328s Ozone Solar.R Wind Temp 328s 40.21 198.33 9.76 79.35 328s 328s Robust Estimate of Covariance: 328s Ozone Solar.R Wind Temp 328s Ozone 885.7 581.1 -57.3 226.4 328s Solar.R 581.1 8870.9 26.2 -15.1 328s Wind -57.3 26.2 11.8 -13.4 328s Temp 226.4 -15.1 -13.4 89.4 328s -------------------------------------------------------- 328s attitude 30 7 27.836398 328s Outliers: 8 328s [1] 1 9 13 14 17 18 24 26 328s ------------- 328s 328s Call: 328s CovSest(x = x, method = method) 328s -> Method: S-estimates: Rocke type 328s 328s Robust Estimate of Location: 328s rating complaints privileges learning raises critical 328s 64.0 65.4 50.5 54.9 63.1 72.6 328s advance 328s 40.5 328s 328s Robust Estimate of Covariance: 328s rating complaints privileges learning raises critical advance 328s rating 180.10 153.16 42.04 128.90 90.25 18.75 39.81 328s complaints 153.16 192.38 58.32 142.48 94.29 8.13 45.33 328s privileges 42.04 58.32 113.65 82.31 69.53 23.13 61.96 328s learning 128.90 142.48 82.31 156.99 101.74 13.22 49.64 328s raises 90.25 94.29 69.53 101.74 110.85 47.84 55.76 328s critical 18.75 8.13 23.13 13.22 47.84 123.00 36.97 328s advance 39.81 45.33 61.96 49.64 55.76 36.97 53.59 328s -------------------------------------------------------- 328s attenu 182 5 9.726797 328s Outliers: 44 328s [1] 1 2 4 5 6 7 8 9 10 11 13 15 16 19 20 21 22 23 24 328s [20] 25 27 28 29 30 31 32 40 45 60 61 64 65 78 80 81 93 94 95 328s [39] 96 97 98 99 100 108 328s ------------- 328s 328s Call: 328s CovSest(x = x, method = method) 328s -> Method: S-estimates: Rocke type 328s 328s Robust Estimate of Location: 328s event mag station dist accel 328s 16.39 5.82 60.89 27.97 0.12 328s 328s Robust Estimate of Covariance: 328s event mag station dist accel 328s event 4.20e+01 -1.97e+00 1.44e+02 -3.50e+01 4.05e-02 328s mag -1.97e+00 5.05e-01 -4.78e+00 4.63e+00 4.19e-03 328s station 1.44e+02 -4.78e+00 1.47e+03 -5.74e+01 7.88e-01 328s dist -3.50e+01 4.63e+00 -5.74e+01 3.99e+02 -1.18e+00 328s accel 4.05e-02 4.19e-03 7.88e-01 -1.18e+00 7.71e-03 328s -------------------------------------------------------- 328s USJudgeRatings 43 12 -46.356873 328s Outliers: 15 328s [1] 1 5 7 8 12 13 14 17 20 21 23 30 31 35 42 328s ------------- 328s 328s Call: 328s CovSest(x = x, method = method) 328s -> Method: S-estimates: Rocke type 328s 328s Robust Estimate of Location: 328s CONT INTG DMNR DILG CFMG DECI PREP FAMI ORAL WRIT PHYS RTEN 328s 7.56 8.12 7.70 7.91 7.74 7.82 7.66 7.66 7.50 7.58 8.22 7.86 328s 328s Robust Estimate of Covariance: 328s CONT INTG DMNR DILG CFMG DECI PREP 328s CONT 0.63426 -0.20121 -0.31858 -0.09578 0.00521 -0.00436 -0.07140 328s INTG -0.20121 0.28326 0.37540 0.27103 0.20362 0.19838 0.25706 328s DMNR -0.31858 0.37540 0.58265 0.33615 0.25649 0.24804 0.31696 328s DILG -0.09578 0.27103 0.33615 0.32588 0.27022 0.26302 0.32236 328s CFMG 0.00521 0.20362 0.25649 0.27022 0.25929 0.24217 0.27784 328s DECI -0.00436 0.19838 0.24804 0.26302 0.24217 0.23830 0.27284 328s PREP -0.07140 0.25706 0.31696 0.32236 0.27784 0.27284 0.35071 328s FAMI -0.07118 0.25858 0.29511 0.32582 0.27863 0.27657 0.35941 328s ORAL -0.11149 0.27055 0.33919 0.31768 0.27339 0.26739 0.34200 328s WRIT -0.10050 0.26857 0.32570 0.32327 0.27860 0.27201 0.34399 328s PHYS -0.09693 0.15339 0.18416 0.17089 0.13837 0.14895 0.18472 328s RTEN -0.15643 0.31793 0.40884 0.33863 0.27073 0.26854 0.34049 328s FAMI ORAL WRIT PHYS RTEN 328s CONT -0.07118 -0.11149 -0.10050 -0.09693 -0.15643 328s INTG 0.25858 0.27055 0.26857 0.15339 0.31793 328s DMNR 0.29511 0.33919 0.32570 0.18416 0.40884 328s DILG 0.32582 0.31768 0.32327 0.17089 0.33863 328s CFMG 0.27863 0.27339 0.27860 0.13837 0.27073 328s DECI 0.27657 0.26739 0.27201 0.14895 0.26854 328s PREP 0.35941 0.34200 0.34399 0.18472 0.34049 328s FAMI 0.38378 0.35617 0.36094 0.19998 0.35048 328s ORAL 0.35617 0.34918 0.34808 0.19759 0.35217 328s WRIT 0.36094 0.34808 0.35242 0.19666 0.35090 328s PHYS 0.19998 0.19759 0.19666 0.14770 0.20304 328s RTEN 0.35048 0.35217 0.35090 0.20304 0.39451 328s -------------------------------------------------------- 328s USArrests 50 4 19.206310 328s Outliers: 4 328s [1] 2 28 33 39 328s ------------- 328s 328s Call: 328s CovSest(x = x, method = method) 328s -> Method: S-estimates: Rocke type 328s 328s Robust Estimate of Location: 328s Murder Assault UrbanPop Rape 328s 7.55 160.94 65.10 19.97 328s 328s Robust Estimate of Covariance: 328s Murder Assault UrbanPop Rape 328s Murder 25.6 409.5 23.4 32.1 328s Assault 409.5 8530.9 676.9 669.4 328s UrbanPop 23.4 676.9 269.9 76.6 328s Rape 32.1 669.4 76.6 76.6 328s -------------------------------------------------------- 328s longley 16 7 13.387132 328s Outliers: 4 328s [1] 1 2 3 4 328s ------------- 328s 328s Call: 328s CovSest(x = x, method = method) 328s -> Method: S-estimates: Rocke type 328s 328s Robust Estimate of Location: 328s GNP.deflator GNP Unemployed Armed.Forces Population 328s 105.5 422.4 318.3 299.7 119.5 328s Year Employed 328s 1956.1 66.5 328s 328s Robust Estimate of Covariance: 328s GNP.deflator GNP Unemployed Armed.Forces Population 328s GNP.deflator 59.97 582.66 694.99 -237.75 46.12 328s GNP 582.66 5849.82 6383.68 -2207.26 461.15 328s Unemployed 694.99 6383.68 11155.03 -3104.18 534.25 328s Armed.Forces -237.75 -2207.26 -3104.18 1429.11 -171.28 328s Population 46.12 461.15 534.25 -171.28 36.79 328s Year 29.01 287.48 340.95 -112.61 22.85 328s Employed 18.99 193.66 186.31 -76.88 14.94 328s Year Employed 328s GNP.deflator 29.01 18.99 328s GNP 287.48 193.66 328s Unemployed 340.95 186.31 328s Armed.Forces -112.61 -76.88 328s Population 22.85 14.94 328s Year 14.36 9.45 328s Employed 9.45 6.90 328s -------------------------------------------------------- 328s Loblolly 84 3 7.757906 328s Outliers: 27 328s [1] 5 6 11 12 18 23 24 29 30 35 36 41 42 47 48 53 54 59 60 65 66 71 72 77 78 328s [26] 83 84 328s ------------- 328s 328s Call: 328s CovSest(x = x, method = method) 328s -> Method: S-estimates: Rocke type 328s 328s Robust Estimate of Location: 328s height age Seed 328s 21.72 8.60 7.58 328s 328s Robust Estimate of Covariance: 328s height age Seed 328s height 316.590 102.273 5.939 328s age 102.273 33.465 -0.121 328s Seed 5.939 -0.121 27.203 328s -------------------------------------------------------- 328s quakes 1000 4 11.473431 328s Outliers: 237 328s [1] 7 12 15 17 22 25 27 28 32 37 40 41 45 48 53 328s [16] 63 64 73 78 87 91 92 94 99 108 110 117 118 119 120 328s [31] 121 122 126 133 136 141 143 145 148 152 154 155 157 159 160 328s [46] 163 166 170 174 176 192 205 222 226 230 239 243 244 250 251 328s [61] 252 254 258 263 267 268 271 283 292 297 300 301 305 311 312 328s [76] 318 320 321 325 328 330 331 334 352 357 360 365 368 376 381 328s [91] 382 384 389 399 400 402 408 410 413 416 417 418 419 426 429 328s [106] 437 441 443 453 456 467 474 477 490 492 496 504 507 508 509 328s [121] 517 524 527 528 531 532 534 536 538 539 541 542 543 544 545 328s [136] 546 547 552 553 558 560 570 571 581 583 587 593 594 596 597 328s [151] 605 612 613 618 620 625 629 638 642 647 649 653 655 656 672 328s [166] 675 681 686 699 701 702 712 714 716 721 725 726 735 744 753 328s [181] 754 756 759 765 766 769 779 781 782 785 787 797 804 813 825 328s [196] 827 837 840 844 852 853 857 860 865 866 869 870 872 873 883 328s [211] 884 887 888 890 891 893 908 909 912 915 916 921 927 930 952 328s [226] 962 963 969 974 980 982 986 987 988 992 997 1000 328s ------------- 328s 328s Call: 328s CovSest(x = x, method = method) 328s -> Method: S-estimates: Rocke type 328s 328s Robust Estimate of Location: 328s lat long depth mag 328s -21.45 182.54 351.18 4.55 328s 328s Robust Estimate of Covariance: 328s lat long depth mag 328s lat 2.10e+01 4.66e+00 2.45e+02 -3.38e-01 328s long 4.66e+00 5.88e+00 -4.63e+02 9.36e-02 328s depth 2.45e+02 -4.63e+02 6.38e+04 -2.02e+01 328s mag -3.38e-01 9.36e-02 -2.02e+01 1.78e-01 328s -------------------------------------------------------- 328s =================================================== 328s > dodata(method="MM") 328s 328s Call: dodata(method = "MM") 328s Data Set n p LOG(det) Time 328s =================================================== 328s heart 12 2 2.017701 328s Outliers: 1 328s [1] 6 328s ------------- 328s 328s Call: 328s CovMMest(x = x) 328s -> Method: MM-estimates 328s 328s Robust Estimate of Location: 328s height weight 328s 40.0 37.7 328s 328s Robust Estimate of Covariance: 328s height weight 328s height 99.2 205.7 328s weight 205.7 458.9 328s -------------------------------------------------------- 328s starsCYG 47 2 -1.450032 328s Outliers: 7 328s [1] 7 9 11 14 20 30 34 328s ------------- 328s 328s Call: 328s CovMMest(x = x) 328s -> Method: MM-estimates 328s 328s Robust Estimate of Location: 328s log.Te log.light 328s 4.41 4.94 328s 328s Robust Estimate of Covariance: 328s log.Te log.light 328s log.Te 0.0180 0.0526 328s log.light 0.0526 0.3217 328s -------------------------------------------------------- 328s phosphor 18 2 2.320721 328s Outliers: 1 328s [1] 6 328s ------------- 328s 328s Call: 328s CovMMest(x = x) 328s -> Method: MM-estimates 328s 328s Robust Estimate of Location: 328s inorg organic 328s 12.3 41.4 328s 328s Robust Estimate of Covariance: 328s inorg organic 328s inorg 94.2 67.2 328s organic 67.2 162.1 328s -------------------------------------------------------- 328s stackloss 21 3 1.470031 328s Outliers: 0 328s ------------- 328s 328s Call: 328s CovMMest(x = x) 328s -> Method: MM-estimates 328s 328s Robust Estimate of Location: 328s Air.Flow Water.Temp Acid.Conc. 328s 60.2 21.0 86.4 328s 328s Robust Estimate of Covariance: 328s Air.Flow Water.Temp Acid.Conc. 328s Air.Flow 81.13 21.99 23.15 328s Water.Temp 21.99 10.01 6.43 328s Acid.Conc. 23.15 6.43 27.22 328s -------------------------------------------------------- 328s coleman 20 5 0.491419 328s Outliers: 1 328s [1] 10 328s ------------- 328s 328s Call: 328s CovMMest(x = x) 328s -> Method: MM-estimates 328s 328s Robust Estimate of Location: 328s salaryP fatherWc sstatus teacherSc motherLev 328s 2.74 43.14 3.65 25.07 6.32 328s 328s Robust Estimate of Covariance: 328s salaryP fatherWc sstatus teacherSc motherLev 328s salaryP 0.1878 2.0635 1.0433 0.2721 0.0582 328s fatherWc 2.0635 670.2232 211.0609 4.3625 15.6083 328s sstatus 1.0433 211.0609 92.8743 2.6532 5.1816 328s teacherSc 0.2721 4.3625 2.6532 1.2757 0.1613 328s motherLev 0.0582 15.6083 5.1816 0.1613 0.4192 328s -------------------------------------------------------- 328s salinity 28 3 0.734619 328s Outliers: 2 328s [1] 5 16 328s ------------- 328s 328s Call: 328s CovMMest(x = x) 328s -> Method: MM-estimates 328s 328s Robust Estimate of Location: 328s X1 X2 X3 328s 10.46 2.66 23.15 328s 328s Robust Estimate of Covariance: 328s X1 X2 X3 328s X1 10.079 -0.024 -1.899 328s X2 -0.024 3.466 -1.817 328s X3 -1.899 -1.817 3.665 328s -------------------------------------------------------- 328s wood 20 5 -3.202636 328s Outliers: 0 328s ------------- 328s 328s Call: 328s CovMMest(x = x) 328s -> Method: MM-estimates 328s 328s Robust Estimate of Location: 328s x1 x2 x3 x4 x5 328s 0.550 0.133 0.506 0.511 0.909 328s 328s Robust Estimate of Covariance: 328s x1 x2 x3 x4 x5 328s x1 0.008454 -0.000377 0.003720 0.002874 -0.003065 328s x2 -0.000377 0.000516 -0.000399 -0.000933 0.000645 328s x3 0.003720 -0.000399 0.004186 0.001720 -0.001714 328s x4 0.002874 -0.000933 0.001720 0.003993 -0.001028 328s x5 -0.003065 0.000645 -0.001714 -0.001028 0.002744 328s -------------------------------------------------------- 328s hbk 75 3 0.283145 328s Outliers: 14 328s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 328s ------------- 328s 328s Call: 328s CovMMest(x = x) 328s -> Method: MM-estimates 328s 328s Robust Estimate of Location: 328s X1 X2 X3 328s 1.54 1.79 1.68 328s 328s Robust Estimate of Covariance: 328s X1 X2 X3 328s X1 1.8016 0.0739 0.2000 328s X2 0.0739 1.8301 0.2295 328s X3 0.2000 0.2295 1.7101 328s -------------------------------------------------------- 328s Animals 28 2 4.685129 328s Outliers: 10 328s [1] 2 6 7 9 12 14 15 16 24 25 328s ------------- 328s 328s Call: 328s CovMMest(x = x) 328s -> Method: MM-estimates 328s 328s Robust Estimate of Location: 328s body brain 328s 82 148 328s 328s Robust Estimate of Covariance: 328s body brain 328s body 21050 24534 328s brain 24534 35135 328s -------------------------------------------------------- 328s milk 86 8 -1.437863 328s Outliers: 12 328s [1] 1 2 3 12 13 17 41 44 47 70 74 75 328s ------------- 328s 328s Call: 328s CovMMest(x = x) 328s -> Method: MM-estimates 328s 328s Robust Estimate of Location: 328s X1 X2 X3 X4 X5 X6 X7 X8 328s 1.03 35.73 32.87 25.96 24.94 24.85 122.55 14.33 328s 328s Robust Estimate of Covariance: 328s X1 X2 X3 X4 X5 X6 X7 328s X1 1.08e-06 5.36e-04 6.80e-04 5.96e-04 5.87e-04 5.91e-04 2.22e-03 328s X2 5.36e-04 2.42e+00 7.07e-01 5.51e-01 4.89e-01 5.70e-01 3.08e+00 328s X3 6.80e-04 7.07e-01 1.64e+00 1.28e+00 1.25e+00 1.26e+00 2.38e+00 328s X4 5.96e-04 5.51e-01 1.28e+00 1.05e+00 1.01e+00 1.02e+00 2.01e+00 328s X5 5.87e-04 4.89e-01 1.25e+00 1.01e+00 1.05e+00 1.02e+00 1.96e+00 328s X6 5.91e-04 5.70e-01 1.26e+00 1.02e+00 1.02e+00 1.05e+00 2.01e+00 328s X7 2.22e-03 3.08e+00 2.38e+00 2.01e+00 1.96e+00 2.01e+00 9.22e+00 328s X8 1.68e-04 4.13e-01 3.37e-01 2.53e-01 2.34e-01 2.43e-01 8.81e-01 328s X8 328s X1 1.68e-04 328s X2 4.13e-01 328s X3 3.37e-01 328s X4 2.53e-01 328s X5 2.34e-01 328s X6 2.43e-01 328s X7 8.81e-01 328s X8 2.11e-01 328s -------------------------------------------------------- 328s bushfire 38 5 2.443148 328s Outliers: 12 328s [1] 8 9 10 11 31 32 33 34 35 36 37 38 328s ------------- 328s 328s Call: 328s CovMMest(x = x) 328s -> Method: MM-estimates 328s 328s Robust Estimate of Location: 328s V1 V2 V3 V4 V5 328s 109 149 258 215 276 328s 328s Robust Estimate of Covariance: 328s V1 V2 V3 V4 V5 328s V1 708 538 -2705 -558 -464 328s V2 538 497 -1376 -248 -216 328s V3 -2705 -1376 20521 4833 3914 328s V4 -558 -248 4833 1217 969 328s V5 -464 -216 3914 969 778 328s -------------------------------------------------------- 328s rice 105 5 -0.724874 328s Outliers: 5 328s [1] 9 42 49 58 71 328s ------------- 328s 328s Call: 328s CovMMest(x = x) 328s -> Method: MM-estimates 328s 328s Robust Estimate of Location: 328s Favor Appearance Taste Stickiness Toughness 328s -0.2653 0.0969 -0.1371 0.0483 0.0731 328s 328s Robust Estimate of Covariance: 328s Favor Appearance Taste Stickiness Toughness 328s Favor 0.421 0.349 0.427 0.405 -0.191 328s Appearance 0.349 0.605 0.565 0.553 -0.316 328s Taste 0.427 0.565 0.725 0.701 -0.378 328s Stickiness 0.405 0.553 0.701 0.868 -0.484 328s Toughness -0.191 -0.316 -0.378 -0.484 0.464 328s -------------------------------------------------------- 328s hemophilia 75 2 -1.868949 328s Outliers: 2 328s [1] 11 36 328s ------------- 328s 328s Call: 328s CovMMest(x = x) 328s -> Method: MM-estimates 328s 328s Robust Estimate of Location: 328s AHFactivity AHFantigen 328s -0.2342 -0.0333 328s 328s Robust Estimate of Covariance: 328s AHFactivity AHFantigen 328s AHFactivity 0.0309 0.0122 328s AHFantigen 0.0122 0.0231 328s -------------------------------------------------------- 329s fish 159 6 1.285876 329s Outliers: 20 329s [1] 61 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 329s [20] 142 329s ------------- 329s 329s Call: 329s CovMMest(x = x) 329s -> Method: MM-estimates 329s 329s Robust Estimate of Location: 329s Weight Length1 Length2 Length3 Height Width 329s 352.7 24.3 26.4 29.2 29.7 14.6 329s 329s Robust Estimate of Covariance: 329s Weight Length1 Length2 Length3 Height Width 329s Weight 1.20e+05 2.89e+03 3.12e+03 3.51e+03 1.49e+03 2.83e+02 329s Length1 2.89e+03 7.73e+01 8.35e+01 9.28e+01 3.73e+01 9.26e+00 329s Length2 3.12e+03 8.35e+01 9.04e+01 1.01e+02 4.16e+01 1.01e+01 329s Length3 3.51e+03 9.28e+01 1.01e+02 1.14e+02 5.37e+01 1.01e+01 329s Height 1.49e+03 3.73e+01 4.16e+01 5.37e+01 6.75e+01 3.22e+00 329s Width 2.83e+02 9.26e+00 1.01e+01 1.01e+01 3.22e+00 4.18e+00 329s -------------------------------------------------------- 329s airquality 153 4 2.684374 329s Outliers: 6 329s [1] 7 14 23 30 34 77 329s ------------- 329s 329s Call: 329s CovMMest(x = x) 329s -> Method: MM-estimates 329s 329s Robust Estimate of Location: 329s Ozone Solar.R Wind Temp 329s 40.35 186.21 9.86 78.09 329s 329s Robust Estimate of Covariance: 329s Ozone Solar.R Wind Temp 329s Ozone 951.0 959.9 -62.5 224.6 329s Solar.R 959.9 8629.9 -28.1 244.9 329s Wind -62.5 -28.1 11.6 -15.8 329s Temp 224.6 244.9 -15.8 93.1 329s -------------------------------------------------------- 329s attitude 30 7 2.091968 329s Outliers: 4 329s [1] 14 16 18 24 329s ------------- 329s 329s Call: 329s CovMMest(x = x) 329s -> Method: MM-estimates 329s 329s Robust Estimate of Location: 329s rating complaints privileges learning raises critical 329s 65.0 66.5 52.4 56.2 65.3 75.6 329s advance 329s 42.7 329s 329s Robust Estimate of Covariance: 329s rating complaints privileges learning raises critical advance 329s rating 143.5 123.4 62.4 92.5 79.2 17.7 28.2 329s complaints 123.4 159.8 83.9 99.7 96.0 27.3 44.0 329s privileges 62.4 83.9 133.5 78.6 62.0 13.4 46.4 329s learning 92.5 99.7 78.6 136.0 90.9 18.9 62.6 329s raises 79.2 96.0 62.0 90.9 107.6 34.6 63.3 329s critical 17.7 27.3 13.4 18.9 34.6 84.9 25.9 329s advance 28.2 44.0 46.4 62.6 63.3 25.9 94.4 329s -------------------------------------------------------- 329s attenu 182 5 1.148032 329s Outliers: 21 329s [1] 2 7 8 9 10 11 15 16 24 25 28 29 30 31 32 64 65 94 95 329s [20] 96 100 329s ------------- 329s 329s Call: 329s CovMMest(x = x) 329s -> Method: MM-estimates 329s 329s Robust Estimate of Location: 329s event mag station dist accel 329s 15.36 5.95 58.11 33.56 0.14 329s 329s Robust Estimate of Covariance: 329s event mag station dist accel 329s event 4.88e+01 -2.74e+00 1.53e+02 -1.14e+02 5.95e-02 329s mag -2.74e+00 5.32e-01 -6.29e+00 1.10e+01 9.37e-03 329s station 1.53e+02 -6.29e+00 1.29e+03 -2.95e+02 1.04e+00 329s dist -1.14e+02 1.10e+01 -2.95e+02 1.13e+03 -2.41e+00 329s accel 5.95e-02 9.37e-03 1.04e+00 -2.41e+00 1.70e-02 329s -------------------------------------------------------- 329s USJudgeRatings 43 12 -1.683847 329s Outliers: 7 329s [1] 5 7 12 13 14 23 31 329s ------------- 329s 329s Call: 329s CovMMest(x = x) 329s -> Method: MM-estimates 329s 329s Robust Estimate of Location: 329s CONT INTG DMNR DILG CFMG DECI PREP FAMI ORAL WRIT PHYS RTEN 329s 7.45 8.15 7.74 7.87 7.67 7.74 7.65 7.65 7.50 7.57 8.17 7.85 329s 329s Robust Estimate of Covariance: 329s CONT INTG DMNR DILG CFMG DECI PREP FAMI 329s CONT 0.9403 -0.2500 -0.3953 -0.1418 -0.0176 -0.0620 -0.1304 -0.1517 329s INTG -0.2500 0.6314 0.8479 0.6889 0.5697 0.5386 0.7007 0.6985 329s DMNR -0.3953 0.8479 1.2186 0.9027 0.7613 0.7232 0.9191 0.9055 329s DILG -0.1418 0.6889 0.9027 0.8474 0.7344 0.6949 0.8751 0.8655 329s CFMG -0.0176 0.5697 0.7613 0.7344 0.6904 0.6442 0.7683 0.7594 329s DECI -0.0620 0.5386 0.7232 0.6949 0.6442 0.6219 0.7362 0.7360 329s PREP -0.1304 0.7007 0.9191 0.8751 0.7683 0.7362 0.9370 0.9357 329s FAMI -0.1517 0.6985 0.9055 0.8655 0.7594 0.7360 0.9357 0.9547 329s ORAL -0.1866 0.7375 0.9841 0.8816 0.7747 0.7433 0.9400 0.9496 329s WRIT -0.1881 0.7208 0.9516 0.8711 0.7646 0.7357 0.9302 0.9439 329s PHYS -0.1407 0.4673 0.6261 0.5661 0.5105 0.5039 0.5996 0.6112 329s RTEN -0.2494 0.7921 1.0688 0.9167 0.7902 0.7585 0.9533 0.9561 329s ORAL WRIT PHYS RTEN 329s CONT -0.1866 -0.1881 -0.1407 -0.2494 329s INTG 0.7375 0.7208 0.4673 0.7921 329s DMNR 0.9841 0.9516 0.6261 1.0688 329s DILG 0.8816 0.8711 0.5661 0.9167 329s CFMG 0.7747 0.7646 0.5105 0.7902 329s DECI 0.7433 0.7357 0.5039 0.7585 329s PREP 0.9400 0.9302 0.5996 0.9533 329s FAMI 0.9496 0.9439 0.6112 0.9561 329s ORAL 0.9712 0.9558 0.6271 0.9933 329s WRIT 0.9558 0.9483 0.6135 0.9725 329s PHYS 0.6271 0.6135 0.4816 0.6549 329s RTEN 0.9933 0.9725 0.6549 1.0540 329s -------------------------------------------------------- 329s USArrests 50 4 2.411726 329s Outliers: 3 329s [1] 2 33 39 329s ------------- 329s 329s Call: 329s CovMMest(x = x) 329s -> Method: MM-estimates 329s 329s Robust Estimate of Location: 329s Murder Assault UrbanPop Rape 329s 7.52 163.86 65.66 20.64 329s 329s Robust Estimate of Covariance: 329s Murder Assault UrbanPop Rape 329s Murder 19.05 295.96 8.32 23.40 329s Assault 295.96 6905.03 396.53 523.49 329s UrbanPop 8.32 396.53 202.98 62.81 329s Rape 23.40 523.49 62.81 79.10 329s -------------------------------------------------------- 329s longley 16 7 1.038316 329s Outliers: 5 329s [1] 1 2 3 4 5 329s ------------- 329s 329s Call: 329s CovMMest(x = x) 329s -> Method: MM-estimates 329s 329s Robust Estimate of Location: 329s GNP.deflator GNP Unemployed Armed.Forces Population 329s 107.5 440.4 339.4 293.0 120.9 329s Year Employed 329s 1957.0 67.2 329s 329s Robust Estimate of Covariance: 329s GNP.deflator GNP Unemployed Armed.Forces Population 329s GNP.deflator 100.4 953.8 1140.8 -501.8 74.3 329s GNP 953.8 9434.3 10084.3 -4573.8 731.3 329s Unemployed 1140.8 10084.3 19644.6 -6296.3 848.4 329s Armed.Forces -501.8 -4573.8 -6296.3 3192.3 -348.5 329s Population 74.3 731.3 848.4 -348.5 57.7 329s Year 46.3 450.7 537.0 -230.7 35.3 329s Employed 30.8 310.2 273.8 -159.4 23.3 329s Year Employed 329s GNP.deflator 46.3 30.8 329s GNP 450.7 310.2 329s Unemployed 537.0 273.8 329s Armed.Forces -230.7 -159.4 329s Population 35.3 23.3 329s Year 21.9 14.6 329s Employed 14.6 11.2 329s -------------------------------------------------------- 329s Loblolly 84 3 1.481317 329s Outliers: 0 329s ------------- 329s 329s Call: 329s CovMMest(x = x) 329s -> Method: MM-estimates 329s 329s Robust Estimate of Location: 329s height age Seed 329s 31.93 12.79 7.48 329s 329s Robust Estimate of Covariance: 329s height age Seed 329s height 440.644 165.652 6.958 329s age 165.652 63.500 0.681 329s Seed 6.958 0.681 16.564 329s -------------------------------------------------------- 329s quakes 1000 4 1.576855 329s Outliers: 218 329s [1] 7 12 15 17 22 27 32 37 40 41 45 48 53 63 64 329s [16] 73 78 87 91 92 94 99 108 110 117 118 119 120 121 122 329s [31] 126 133 136 141 143 145 148 152 154 155 157 159 160 163 170 329s [46] 192 205 222 226 230 239 243 250 251 252 254 258 263 267 268 329s [61] 271 283 292 300 301 305 311 312 318 320 321 325 328 330 334 329s [76] 352 357 360 365 381 382 384 389 400 402 408 413 416 417 419 329s [91] 429 437 441 443 453 456 467 474 477 490 492 496 504 507 508 329s [106] 509 517 524 527 528 531 532 534 536 538 539 541 542 543 544 329s [121] 545 546 547 552 553 560 571 581 583 587 593 594 596 597 605 329s [136] 612 613 618 620 625 629 638 642 647 649 653 655 656 672 675 329s [151] 681 686 699 701 702 712 714 716 721 725 726 735 744 754 756 329s [166] 759 765 766 769 779 781 782 785 787 797 804 813 825 827 837 329s [181] 840 844 852 853 857 860 865 866 869 870 872 873 883 884 887 329s [196] 888 890 891 893 908 909 912 915 916 921 927 930 962 963 969 329s [211] 974 980 982 986 987 988 997 1000 329s ------------- 329s 329s Call: 329s CovMMest(x = x) 329s -> Method: MM-estimates 329s 329s Robust Estimate of Location: 329s lat long depth mag 329s -21.74 182.37 356.37 4.56 329s 329s Robust Estimate of Covariance: 329s lat long depth mag 329s lat 2.97e+01 6.53e+00 3.46e+02 -4.66e-01 329s long 6.53e+00 6.92e+00 -5.05e+02 5.62e-02 329s depth 3.46e+02 -5.05e+02 7.39e+04 -2.51e+01 329s mag -4.66e-01 5.62e-02 -2.51e+01 2.32e-01 329s -------------------------------------------------------- 329s =================================================== 329s > ##dogen() 329s > ##cat('Time elapsed: ', proc.time(),'\n') # for ``statistical reasons'' 329s > 329s autopkgtest [12:41:20]: test run-unit-test: -----------------------] 333s autopkgtest [12:41:24]: test run-unit-test: - - - - - - - - - - results - - - - - - - - - - 333s run-unit-test PASS 337s autopkgtest [12:41:28]: test pkg-r-autopkgtest: preparing testbed 346s Reading package lists... 346s Building dependency tree... 346s Reading state information... 347s Starting pkgProblemResolver with broken count: 0 347s Starting 2 pkgProblemResolver with broken count: 0 347s Done 348s The following additional packages will be installed: 348s build-essential cpp cpp-13 cpp-13-arm-linux-gnueabihf 348s cpp-arm-linux-gnueabihf dctrl-tools g++ g++-13 g++-13-arm-linux-gnueabihf 348s g++-arm-linux-gnueabihf gcc gcc-13 gcc-13-arm-linux-gnueabihf 348s gcc-arm-linux-gnueabihf gfortran gfortran-13 gfortran-13-arm-linux-gnueabihf 348s gfortran-arm-linux-gnueabihf icu-devtools libasan8 libatomic1 libblas-dev 348s libbz2-dev libc-dev-bin libc6-dev libcc1-0 libcrypt-dev libgcc-13-dev 348s libgfortran-13-dev libicu-dev libisl23 libjpeg-dev libjpeg-turbo8-dev 348s libjpeg8-dev liblapack-dev liblzma-dev libmpc3 libncurses-dev libpcre2-16-0 348s libpcre2-32-0 libpcre2-dev libpcre2-posix3 libpkgconf3 libpng-dev 348s libreadline-dev libstdc++-13-dev libubsan1 linux-libc-dev pkg-config 348s pkg-r-autopkgtest pkgconf pkgconf-bin r-base-dev rpcsvc-proto zlib1g-dev 348s Suggested packages: 348s cpp-doc gcc-13-locales cpp-13-doc debtags gcc-13-doc gcc-multilib 348s manpages-dev autoconf automake libtool flex bison gdb gcc-doc 348s gdb-arm-linux-gnueabihf gfortran-doc gfortran-13-doc libcoarrays-dev 348s liblapack-doc glibc-doc icu-doc liblzma-doc ncurses-doc readline-doc 348s libstdc++-13-doc texlive-base texlive-latex-base texlive-plain-generic 348s texlive-fonts-recommended texlive-fonts-extra texlive-extra-utils 348s texlive-latex-recommended texlive-latex-extra texinfo 348s Recommended packages: 348s bzip2-doc manpages manpages-dev libc-devtools libpng-tools 348s The following NEW packages will be installed: 348s autopkgtest-satdep build-essential cpp cpp-13 cpp-13-arm-linux-gnueabihf 348s cpp-arm-linux-gnueabihf dctrl-tools g++ g++-13 g++-13-arm-linux-gnueabihf 348s g++-arm-linux-gnueabihf gcc gcc-13 gcc-13-arm-linux-gnueabihf 348s gcc-arm-linux-gnueabihf gfortran gfortran-13 gfortran-13-arm-linux-gnueabihf 348s gfortran-arm-linux-gnueabihf icu-devtools libasan8 libatomic1 libblas-dev 348s libbz2-dev libc-dev-bin libc6-dev libcc1-0 libcrypt-dev libgcc-13-dev 348s libgfortran-13-dev libicu-dev libisl23 libjpeg-dev libjpeg-turbo8-dev 348s libjpeg8-dev liblapack-dev liblzma-dev libmpc3 libncurses-dev libpcre2-16-0 348s libpcre2-32-0 libpcre2-dev libpcre2-posix3 libpkgconf3 libpng-dev 348s libreadline-dev libstdc++-13-dev libubsan1 linux-libc-dev pkg-config 348s pkg-r-autopkgtest pkgconf pkgconf-bin r-base-dev rpcsvc-proto zlib1g-dev 348s 0 upgraded, 56 newly installed, 0 to remove and 1 not upgraded. 348s Need to get 74.4 MB/74.4 MB of archives. 348s After this operation, 232 MB of additional disk space will be used. 348s Get:1 /tmp/autopkgtest.TSBqIV/2-autopkgtest-satdep.deb autopkgtest-satdep armhf 0 [720 B] 348s Get:2 http://ftpmaster.internal/ubuntu noble/main armhf libc-dev-bin armhf 2.39-0ubuntu6 [19.1 kB] 348s Get:3 http://ftpmaster.internal/ubuntu noble-proposed/main armhf linux-libc-dev armhf 6.8.0-20.20 [1555 kB] 349s Get:4 http://ftpmaster.internal/ubuntu noble/main armhf libcrypt-dev armhf 1:4.4.36-4 [136 kB] 349s Get:5 http://ftpmaster.internal/ubuntu noble/main armhf rpcsvc-proto armhf 1.4.2-0ubuntu6 [63.7 kB] 349s Get:6 http://ftpmaster.internal/ubuntu noble/main armhf libc6-dev armhf 2.39-0ubuntu6 [1351 kB] 349s Get:7 http://ftpmaster.internal/ubuntu noble/main armhf libisl23 armhf 0.26-3 [595 kB] 349s Get:8 http://ftpmaster.internal/ubuntu noble/main armhf libmpc3 armhf 1.3.1-1 [46.4 kB] 349s Get:9 http://ftpmaster.internal/ubuntu noble-proposed/main armhf cpp-13-arm-linux-gnueabihf armhf 13.2.0-21ubuntu1 [8757 kB] 349s Get:10 http://ftpmaster.internal/ubuntu noble-proposed/main armhf cpp-13 armhf 13.2.0-21ubuntu1 [1028 B] 349s Get:11 http://ftpmaster.internal/ubuntu noble/main armhf cpp-arm-linux-gnueabihf armhf 4:13.2.0-7ubuntu1 [5320 B] 349s Get:12 http://ftpmaster.internal/ubuntu noble/main armhf cpp armhf 4:13.2.0-7ubuntu1 [22.4 kB] 349s Get:13 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libcc1-0 armhf 14-20240315-1ubuntu1 [39.0 kB] 349s Get:14 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libatomic1 armhf 14-20240315-1ubuntu1 [7824 B] 349s Get:15 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libasan8 armhf 14-20240315-1ubuntu1 [2941 kB] 349s Get:16 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libubsan1 armhf 14-20240315-1ubuntu1 [1152 kB] 349s Get:17 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libgcc-13-dev armhf 13.2.0-21ubuntu1 [899 kB] 349s Get:18 http://ftpmaster.internal/ubuntu noble-proposed/main armhf gcc-13-arm-linux-gnueabihf armhf 13.2.0-21ubuntu1 [16.8 MB] 350s Get:19 http://ftpmaster.internal/ubuntu noble-proposed/main armhf gcc-13 armhf 13.2.0-21ubuntu1 [450 kB] 350s Get:20 http://ftpmaster.internal/ubuntu noble/main armhf gcc-arm-linux-gnueabihf armhf 4:13.2.0-7ubuntu1 [1220 B] 350s Get:21 http://ftpmaster.internal/ubuntu noble/main armhf gcc armhf 4:13.2.0-7ubuntu1 [5022 B] 350s Get:22 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libstdc++-13-dev armhf 13.2.0-21ubuntu1 [2456 kB] 350s Get:23 http://ftpmaster.internal/ubuntu noble-proposed/main armhf g++-13-arm-linux-gnueabihf armhf 13.2.0-21ubuntu1 [9938 kB] 350s Get:24 http://ftpmaster.internal/ubuntu noble-proposed/main armhf g++-13 armhf 13.2.0-21ubuntu1 [14.5 kB] 350s Get:25 http://ftpmaster.internal/ubuntu noble/main armhf g++-arm-linux-gnueabihf armhf 4:13.2.0-7ubuntu1 [966 B] 350s Get:26 http://ftpmaster.internal/ubuntu noble/main armhf g++ armhf 4:13.2.0-7ubuntu1 [1090 B] 350s Get:27 http://ftpmaster.internal/ubuntu noble/main armhf build-essential armhf 12.10ubuntu1 [4928 B] 350s Get:28 http://ftpmaster.internal/ubuntu noble/main armhf dctrl-tools armhf 2.24-3build2 [57.2 kB] 350s Get:29 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libgfortran-13-dev armhf 13.2.0-21ubuntu1 [359 kB] 350s Get:30 http://ftpmaster.internal/ubuntu noble-proposed/main armhf gfortran-13-arm-linux-gnueabihf armhf 13.2.0-21ubuntu1 [9179 kB] 350s Get:31 http://ftpmaster.internal/ubuntu noble-proposed/main armhf gfortran-13 armhf 13.2.0-21ubuntu1 [10.9 kB] 350s Get:32 http://ftpmaster.internal/ubuntu noble/main armhf gfortran-arm-linux-gnueabihf armhf 4:13.2.0-7ubuntu1 [1024 B] 350s Get:33 http://ftpmaster.internal/ubuntu noble/main armhf gfortran armhf 4:13.2.0-7ubuntu1 [1166 B] 350s Get:34 http://ftpmaster.internal/ubuntu noble/main armhf icu-devtools armhf 74.2-1ubuntu1 [201 kB] 350s Get:35 http://ftpmaster.internal/ubuntu noble/main armhf libblas-dev armhf 3.12.0-3 [132 kB] 350s Get:36 http://ftpmaster.internal/ubuntu noble/main armhf libbz2-dev armhf 1.0.8-5ubuntu1 [30.4 kB] 350s Get:37 http://ftpmaster.internal/ubuntu noble/main armhf libicu-dev armhf 74.2-1ubuntu1 [11.6 MB] 350s Get:38 http://ftpmaster.internal/ubuntu noble/main armhf libjpeg-turbo8-dev armhf 2.1.5-2ubuntu1 [263 kB] 351s Get:39 http://ftpmaster.internal/ubuntu noble/main armhf libjpeg8-dev armhf 8c-2ubuntu11 [1484 B] 351s Get:40 http://ftpmaster.internal/ubuntu noble/main armhf libjpeg-dev armhf 8c-2ubuntu11 [1482 B] 351s Get:41 http://ftpmaster.internal/ubuntu noble/main armhf liblapack-dev armhf 3.12.0-3 [2177 kB] 351s Get:42 http://ftpmaster.internal/ubuntu noble/main armhf libncurses-dev armhf 6.4+20240113-1ubuntu1 [501 kB] 351s Get:43 http://ftpmaster.internal/ubuntu noble/main armhf libpcre2-16-0 armhf 10.42-4ubuntu1 [180 kB] 351s Get:44 http://ftpmaster.internal/ubuntu noble/main armhf libpcre2-32-0 armhf 10.42-4ubuntu1 [171 kB] 351s Get:45 http://ftpmaster.internal/ubuntu noble/main armhf libpcre2-posix3 armhf 10.42-4ubuntu1 [6096 B] 351s Get:46 http://ftpmaster.internal/ubuntu noble/main armhf libpcre2-dev armhf 10.42-4ubuntu1 [664 kB] 351s Get:47 http://ftpmaster.internal/ubuntu noble/main armhf libpkgconf3 armhf 1.8.1-2 [26.3 kB] 351s Get:48 http://ftpmaster.internal/ubuntu noble-proposed/main armhf zlib1g-dev armhf 1:1.3.dfsg-3.1ubuntu1 [880 kB] 351s Get:49 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libpng-dev armhf 1.6.43-3 [248 kB] 351s Get:50 http://ftpmaster.internal/ubuntu noble-proposed/main armhf libreadline-dev armhf 8.2-4 [153 kB] 351s Get:51 http://ftpmaster.internal/ubuntu noble/main armhf pkgconf-bin armhf 1.8.1-2 [20.6 kB] 351s Get:52 http://ftpmaster.internal/ubuntu noble/main armhf pkgconf armhf 1.8.1-2 [16.7 kB] 351s Get:53 http://ftpmaster.internal/ubuntu noble/main armhf pkg-config armhf 1.8.1-2 [7170 B] 351s Get:54 http://ftpmaster.internal/ubuntu noble-proposed/main armhf liblzma-dev armhf 5.6.0-0.2 [166 kB] 351s Get:55 http://ftpmaster.internal/ubuntu noble-proposed/universe armhf r-base-dev all 4.3.3-2build1 [4334 B] 351s Get:56 http://ftpmaster.internal/ubuntu noble/universe armhf pkg-r-autopkgtest all 20231212ubuntu1 [6448 B] 351s Fetched 74.4 MB in 3s (27.5 MB/s) 351s Selecting previously unselected package libc-dev-bin. 351s (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 60876 files and directories currently installed.) 351s Preparing to unpack .../00-libc-dev-bin_2.39-0ubuntu6_armhf.deb ... 351s Unpacking libc-dev-bin (2.39-0ubuntu6) ... 351s Selecting previously unselected package linux-libc-dev:armhf. 351s Preparing to unpack .../01-linux-libc-dev_6.8.0-20.20_armhf.deb ... 351s Unpacking linux-libc-dev:armhf (6.8.0-20.20) ... 352s Selecting previously unselected package libcrypt-dev:armhf. 352s Preparing to unpack .../02-libcrypt-dev_1%3a4.4.36-4_armhf.deb ... 352s Unpacking libcrypt-dev:armhf (1:4.4.36-4) ... 352s Selecting previously unselected package rpcsvc-proto. 352s Preparing to unpack .../03-rpcsvc-proto_1.4.2-0ubuntu6_armhf.deb ... 352s Unpacking rpcsvc-proto (1.4.2-0ubuntu6) ... 352s Selecting previously unselected package libc6-dev:armhf. 352s Preparing to unpack .../04-libc6-dev_2.39-0ubuntu6_armhf.deb ... 352s Unpacking libc6-dev:armhf (2.39-0ubuntu6) ... 352s Selecting previously unselected package libisl23:armhf. 352s Preparing to unpack .../05-libisl23_0.26-3_armhf.deb ... 352s Unpacking libisl23:armhf (0.26-3) ... 352s Selecting previously unselected package libmpc3:armhf. 352s Preparing to unpack .../06-libmpc3_1.3.1-1_armhf.deb ... 352s Unpacking libmpc3:armhf (1.3.1-1) ... 352s Selecting previously unselected package cpp-13-arm-linux-gnueabihf. 352s Preparing to unpack .../07-cpp-13-arm-linux-gnueabihf_13.2.0-21ubuntu1_armhf.deb ... 352s Unpacking cpp-13-arm-linux-gnueabihf (13.2.0-21ubuntu1) ... 352s Selecting previously unselected package cpp-13. 352s Preparing to unpack .../08-cpp-13_13.2.0-21ubuntu1_armhf.deb ... 352s Unpacking cpp-13 (13.2.0-21ubuntu1) ... 352s Selecting previously unselected package cpp-arm-linux-gnueabihf. 352s Preparing to unpack .../09-cpp-arm-linux-gnueabihf_4%3a13.2.0-7ubuntu1_armhf.deb ... 352s Unpacking cpp-arm-linux-gnueabihf (4:13.2.0-7ubuntu1) ... 352s Selecting previously unselected package cpp. 352s Preparing to unpack .../10-cpp_4%3a13.2.0-7ubuntu1_armhf.deb ... 352s Unpacking cpp (4:13.2.0-7ubuntu1) ... 352s Selecting previously unselected package libcc1-0:armhf. 352s Preparing to unpack .../11-libcc1-0_14-20240315-1ubuntu1_armhf.deb ... 352s Unpacking libcc1-0:armhf (14-20240315-1ubuntu1) ... 352s Selecting previously unselected package libatomic1:armhf. 352s Preparing to unpack .../12-libatomic1_14-20240315-1ubuntu1_armhf.deb ... 352s Unpacking libatomic1:armhf (14-20240315-1ubuntu1) ... 352s Selecting previously unselected package libasan8:armhf. 352s Preparing to unpack .../13-libasan8_14-20240315-1ubuntu1_armhf.deb ... 352s Unpacking libasan8:armhf (14-20240315-1ubuntu1) ... 352s Selecting previously unselected package libubsan1:armhf. 352s Preparing to unpack .../14-libubsan1_14-20240315-1ubuntu1_armhf.deb ... 352s Unpacking libubsan1:armhf (14-20240315-1ubuntu1) ... 352s Selecting previously unselected package libgcc-13-dev:armhf. 352s Preparing to unpack .../15-libgcc-13-dev_13.2.0-21ubuntu1_armhf.deb ... 352s Unpacking libgcc-13-dev:armhf (13.2.0-21ubuntu1) ... 352s Selecting previously unselected package gcc-13-arm-linux-gnueabihf. 352s Preparing to unpack .../16-gcc-13-arm-linux-gnueabihf_13.2.0-21ubuntu1_armhf.deb ... 352s Unpacking gcc-13-arm-linux-gnueabihf (13.2.0-21ubuntu1) ... 353s Selecting previously unselected package gcc-13. 353s Preparing to unpack .../17-gcc-13_13.2.0-21ubuntu1_armhf.deb ... 353s Unpacking gcc-13 (13.2.0-21ubuntu1) ... 353s Selecting previously unselected package gcc-arm-linux-gnueabihf. 353s Preparing to unpack .../18-gcc-arm-linux-gnueabihf_4%3a13.2.0-7ubuntu1_armhf.deb ... 353s Unpacking gcc-arm-linux-gnueabihf (4:13.2.0-7ubuntu1) ... 353s Selecting previously unselected package gcc. 353s Preparing to unpack .../19-gcc_4%3a13.2.0-7ubuntu1_armhf.deb ... 353s Unpacking gcc (4:13.2.0-7ubuntu1) ... 353s Selecting previously unselected package libstdc++-13-dev:armhf. 353s Preparing to unpack .../20-libstdc++-13-dev_13.2.0-21ubuntu1_armhf.deb ... 353s Unpacking libstdc++-13-dev:armhf (13.2.0-21ubuntu1) ... 353s Selecting previously unselected package g++-13-arm-linux-gnueabihf. 353s Preparing to unpack .../21-g++-13-arm-linux-gnueabihf_13.2.0-21ubuntu1_armhf.deb ... 353s Unpacking g++-13-arm-linux-gnueabihf (13.2.0-21ubuntu1) ... 353s Selecting previously unselected package g++-13. 353s Preparing to unpack .../22-g++-13_13.2.0-21ubuntu1_armhf.deb ... 353s Unpacking g++-13 (13.2.0-21ubuntu1) ... 353s Selecting previously unselected package g++-arm-linux-gnueabihf. 353s Preparing to unpack .../23-g++-arm-linux-gnueabihf_4%3a13.2.0-7ubuntu1_armhf.deb ... 353s Unpacking g++-arm-linux-gnueabihf (4:13.2.0-7ubuntu1) ... 353s Selecting previously unselected package g++. 354s Preparing to unpack .../24-g++_4%3a13.2.0-7ubuntu1_armhf.deb ... 354s Unpacking g++ (4:13.2.0-7ubuntu1) ... 354s Selecting previously unselected package build-essential. 354s Preparing to unpack .../25-build-essential_12.10ubuntu1_armhf.deb ... 354s Unpacking build-essential (12.10ubuntu1) ... 354s Selecting previously unselected package dctrl-tools. 354s Preparing to unpack .../26-dctrl-tools_2.24-3build2_armhf.deb ... 354s Unpacking dctrl-tools (2.24-3build2) ... 354s Selecting previously unselected package libgfortran-13-dev:armhf. 354s Preparing to unpack .../27-libgfortran-13-dev_13.2.0-21ubuntu1_armhf.deb ... 354s Unpacking libgfortran-13-dev:armhf (13.2.0-21ubuntu1) ... 354s Selecting previously unselected package gfortran-13-arm-linux-gnueabihf. 354s Preparing to unpack .../28-gfortran-13-arm-linux-gnueabihf_13.2.0-21ubuntu1_armhf.deb ... 354s Unpacking gfortran-13-arm-linux-gnueabihf (13.2.0-21ubuntu1) ... 354s Selecting previously unselected package gfortran-13. 354s Preparing to unpack .../29-gfortran-13_13.2.0-21ubuntu1_armhf.deb ... 354s Unpacking gfortran-13 (13.2.0-21ubuntu1) ... 354s Selecting previously unselected package gfortran-arm-linux-gnueabihf. 354s Preparing to unpack .../30-gfortran-arm-linux-gnueabihf_4%3a13.2.0-7ubuntu1_armhf.deb ... 354s Unpacking gfortran-arm-linux-gnueabihf (4:13.2.0-7ubuntu1) ... 354s Selecting previously unselected package gfortran. 354s Preparing to unpack .../31-gfortran_4%3a13.2.0-7ubuntu1_armhf.deb ... 354s Unpacking gfortran (4:13.2.0-7ubuntu1) ... 354s Selecting previously unselected package icu-devtools. 354s Preparing to unpack .../32-icu-devtools_74.2-1ubuntu1_armhf.deb ... 354s Unpacking icu-devtools (74.2-1ubuntu1) ... 354s Selecting previously unselected package libblas-dev:armhf. 354s Preparing to unpack .../33-libblas-dev_3.12.0-3_armhf.deb ... 354s Unpacking libblas-dev:armhf (3.12.0-3) ... 354s Selecting previously unselected package libbz2-dev:armhf. 354s Preparing to unpack .../34-libbz2-dev_1.0.8-5ubuntu1_armhf.deb ... 354s Unpacking libbz2-dev:armhf (1.0.8-5ubuntu1) ... 354s Selecting previously unselected package libicu-dev:armhf. 354s Preparing to unpack .../35-libicu-dev_74.2-1ubuntu1_armhf.deb ... 354s Unpacking libicu-dev:armhf (74.2-1ubuntu1) ... 355s Selecting previously unselected package libjpeg-turbo8-dev:armhf. 355s Preparing to unpack .../36-libjpeg-turbo8-dev_2.1.5-2ubuntu1_armhf.deb ... 355s Unpacking libjpeg-turbo8-dev:armhf (2.1.5-2ubuntu1) ... 355s Selecting previously unselected package libjpeg8-dev:armhf. 355s Preparing to unpack .../37-libjpeg8-dev_8c-2ubuntu11_armhf.deb ... 355s Unpacking libjpeg8-dev:armhf (8c-2ubuntu11) ... 355s Selecting previously unselected package libjpeg-dev:armhf. 355s Preparing to unpack .../38-libjpeg-dev_8c-2ubuntu11_armhf.deb ... 355s Unpacking libjpeg-dev:armhf (8c-2ubuntu11) ... 355s Selecting previously unselected package liblapack-dev:armhf. 355s Preparing to unpack .../39-liblapack-dev_3.12.0-3_armhf.deb ... 355s Unpacking liblapack-dev:armhf (3.12.0-3) ... 355s Selecting previously unselected package libncurses-dev:armhf. 355s Preparing to unpack .../40-libncurses-dev_6.4+20240113-1ubuntu1_armhf.deb ... 355s Unpacking libncurses-dev:armhf (6.4+20240113-1ubuntu1) ... 355s Selecting previously unselected package libpcre2-16-0:armhf. 355s Preparing to unpack .../41-libpcre2-16-0_10.42-4ubuntu1_armhf.deb ... 355s Unpacking libpcre2-16-0:armhf (10.42-4ubuntu1) ... 355s Selecting previously unselected package libpcre2-32-0:armhf. 355s Preparing to unpack .../42-libpcre2-32-0_10.42-4ubuntu1_armhf.deb ... 355s Unpacking libpcre2-32-0:armhf (10.42-4ubuntu1) ... 355s Selecting previously unselected package libpcre2-posix3:armhf. 355s Preparing to unpack .../43-libpcre2-posix3_10.42-4ubuntu1_armhf.deb ... 355s Unpacking libpcre2-posix3:armhf (10.42-4ubuntu1) ... 355s Selecting previously unselected package libpcre2-dev:armhf. 355s Preparing to unpack .../44-libpcre2-dev_10.42-4ubuntu1_armhf.deb ... 355s Unpacking libpcre2-dev:armhf (10.42-4ubuntu1) ... 355s Selecting previously unselected package libpkgconf3:armhf. 355s Preparing to unpack .../45-libpkgconf3_1.8.1-2_armhf.deb ... 355s Unpacking libpkgconf3:armhf (1.8.1-2) ... 355s Selecting previously unselected package zlib1g-dev:armhf. 355s Preparing to unpack .../46-zlib1g-dev_1%3a1.3.dfsg-3.1ubuntu1_armhf.deb ... 355s Unpacking zlib1g-dev:armhf (1:1.3.dfsg-3.1ubuntu1) ... 355s Selecting previously unselected package libpng-dev:armhf. 356s Preparing to unpack .../47-libpng-dev_1.6.43-3_armhf.deb ... 356s Unpacking libpng-dev:armhf (1.6.43-3) ... 356s Selecting previously unselected package libreadline-dev:armhf. 356s Preparing to unpack .../48-libreadline-dev_8.2-4_armhf.deb ... 356s Unpacking libreadline-dev:armhf (8.2-4) ... 356s Selecting previously unselected package pkgconf-bin. 356s Preparing to unpack .../49-pkgconf-bin_1.8.1-2_armhf.deb ... 356s Unpacking pkgconf-bin (1.8.1-2) ... 356s Selecting previously unselected package pkgconf:armhf. 356s Preparing to unpack .../50-pkgconf_1.8.1-2_armhf.deb ... 356s Unpacking pkgconf:armhf (1.8.1-2) ... 356s Selecting previously unselected package pkg-config:armhf. 356s Preparing to unpack .../51-pkg-config_1.8.1-2_armhf.deb ... 356s Unpacking pkg-config:armhf (1.8.1-2) ... 356s Selecting previously unselected package liblzma-dev:armhf. 356s Preparing to unpack .../52-liblzma-dev_5.6.0-0.2_armhf.deb ... 356s Unpacking liblzma-dev:armhf (5.6.0-0.2) ... 356s Selecting previously unselected package r-base-dev. 356s Preparing to unpack .../53-r-base-dev_4.3.3-2build1_all.deb ... 356s Unpacking r-base-dev (4.3.3-2build1) ... 356s Selecting previously unselected package pkg-r-autopkgtest. 356s Preparing to unpack .../54-pkg-r-autopkgtest_20231212ubuntu1_all.deb ... 356s Unpacking pkg-r-autopkgtest (20231212ubuntu1) ... 356s Selecting previously unselected package autopkgtest-satdep. 356s Preparing to unpack .../55-2-autopkgtest-satdep.deb ... 356s Unpacking autopkgtest-satdep (0) ... 356s Setting up linux-libc-dev:armhf (6.8.0-20.20) ... 356s Setting up libpcre2-16-0:armhf (10.42-4ubuntu1) ... 356s Setting up libpcre2-32-0:armhf (10.42-4ubuntu1) ... 356s Setting up libpkgconf3:armhf (1.8.1-2) ... 356s Setting up rpcsvc-proto (1.4.2-0ubuntu6) ... 356s Setting up libmpc3:armhf (1.3.1-1) ... 356s Setting up libatomic1:armhf (14-20240315-1ubuntu1) ... 356s Setting up icu-devtools (74.2-1ubuntu1) ... 356s Setting up pkgconf-bin (1.8.1-2) ... 356s Setting up liblzma-dev:armhf (5.6.0-0.2) ... 356s Setting up libubsan1:armhf (14-20240315-1ubuntu1) ... 356s Setting up libpcre2-posix3:armhf (10.42-4ubuntu1) ... 356s Setting up libcrypt-dev:armhf (1:4.4.36-4) ... 356s Setting up libasan8:armhf (14-20240315-1ubuntu1) ... 356s Setting up libisl23:armhf (0.26-3) ... 356s Setting up libc-dev-bin (2.39-0ubuntu6) ... 356s Setting up libcc1-0:armhf (14-20240315-1ubuntu1) ... 356s Setting up libblas-dev:armhf (3.12.0-3) ... 356s update-alternatives: using /usr/lib/arm-linux-gnueabihf/blas/libblas.so to provide /usr/lib/arm-linux-gnueabihf/libblas.so (libblas.so-arm-linux-gnueabihf) in auto mode 356s Setting up dctrl-tools (2.24-3build2) ... 356s Setting up cpp-13-arm-linux-gnueabihf (13.2.0-21ubuntu1) ... 356s Setting up pkgconf:armhf (1.8.1-2) ... 356s Setting up liblapack-dev:armhf (3.12.0-3) ... 356s update-alternatives: using /usr/lib/arm-linux-gnueabihf/lapack/liblapack.so to provide /usr/lib/arm-linux-gnueabihf/liblapack.so (liblapack.so-arm-linux-gnueabihf) in auto mode 356s Setting up pkg-config:armhf (1.8.1-2) ... 356s Setting up libgcc-13-dev:armhf (13.2.0-21ubuntu1) ... 356s Setting up libc6-dev:armhf (2.39-0ubuntu6) ... 356s Setting up libgfortran-13-dev:armhf (13.2.0-21ubuntu1) ... 356s Setting up libicu-dev:armhf (74.2-1ubuntu1) ... 356s Setting up cpp-arm-linux-gnueabihf (4:13.2.0-7ubuntu1) ... 356s Setting up libstdc++-13-dev:armhf (13.2.0-21ubuntu1) ... 356s Setting up libbz2-dev:armhf (1.0.8-5ubuntu1) ... 356s Setting up libjpeg-turbo8-dev:armhf (2.1.5-2ubuntu1) ... 356s Setting up libncurses-dev:armhf (6.4+20240113-1ubuntu1) ... 356s Setting up libpcre2-dev:armhf (10.42-4ubuntu1) ... 356s Setting up cpp-13 (13.2.0-21ubuntu1) ... 356s Setting up libreadline-dev:armhf (8.2-4) ... 356s Setting up gcc-13-arm-linux-gnueabihf (13.2.0-21ubuntu1) ... 356s Setting up gcc-13 (13.2.0-21ubuntu1) ... 356s Setting up zlib1g-dev:armhf (1:1.3.dfsg-3.1ubuntu1) ... 356s Setting up cpp (4:13.2.0-7ubuntu1) ... 356s Setting up libjpeg8-dev:armhf (8c-2ubuntu11) ... 356s Setting up gcc-arm-linux-gnueabihf (4:13.2.0-7ubuntu1) ... 356s Setting up g++-13-arm-linux-gnueabihf (13.2.0-21ubuntu1) ... 356s Setting up gfortran-13-arm-linux-gnueabihf (13.2.0-21ubuntu1) ... 356s Setting up g++-arm-linux-gnueabihf (4:13.2.0-7ubuntu1) ... 356s Setting up g++-13 (13.2.0-21ubuntu1) ... 356s Setting up libpng-dev:armhf (1.6.43-3) ... 356s Setting up libjpeg-dev:armhf (8c-2ubuntu11) ... 356s Setting up gcc (4:13.2.0-7ubuntu1) ... 356s Setting up gfortran-arm-linux-gnueabihf (4:13.2.0-7ubuntu1) ... 356s Setting up gfortran-13 (13.2.0-21ubuntu1) ... 356s Setting up g++ (4:13.2.0-7ubuntu1) ... 356s update-alternatives: using /usr/bin/g++ to provide /usr/bin/c++ (c++) in auto mode 356s Setting up build-essential (12.10ubuntu1) ... 356s Setting up gfortran (4:13.2.0-7ubuntu1) ... 356s update-alternatives: using /usr/bin/gfortran to provide /usr/bin/f95 (f95) in auto mode 356s update-alternatives: warning: skip creation of /usr/share/man/man1/f95.1.gz because associated file /usr/share/man/man1/gfortran.1.gz (of link group f95) doesn't exist 356s update-alternatives: using /usr/bin/gfortran to provide /usr/bin/f77 (f77) in auto mode 356s update-alternatives: warning: skip creation of /usr/share/man/man1/f77.1.gz because associated file /usr/share/man/man1/gfortran.1.gz (of link group f77) doesn't exist 356s Setting up r-base-dev (4.3.3-2build1) ... 356s Setting up pkg-r-autopkgtest (20231212ubuntu1) ... 356s Setting up autopkgtest-satdep (0) ... 356s Processing triggers for man-db (2.12.0-3build4) ... 357s Processing triggers for install-info (7.1-3build1) ... 358s Processing triggers for libc-bin (2.39-0ubuntu6) ... 369s (Reading database ... 64297 files and directories currently installed.) 369s Removing autopkgtest-satdep (0) ... 375s autopkgtest [12:42:06]: test pkg-r-autopkgtest: /usr/share/dh-r/pkg-r-autopkgtest 375s autopkgtest [12:42:06]: test pkg-r-autopkgtest: [----------------------- 377s Test: Try to load the R library rrcov 377s 377s R version 4.3.3 (2024-02-29) -- "Angel Food Cake" 377s Copyright (C) 2024 The R Foundation for Statistical Computing 377s Platform: arm-unknown-linux-gnueabihf (32-bit) 377s 377s R is free software and comes with ABSOLUTELY NO WARRANTY. 377s You are welcome to redistribute it under certain conditions. 377s Type 'license()' or 'licence()' for distribution details. 377s 377s R is a collaborative project with many contributors. 377s Type 'contributors()' for more information and 377s 'citation()' on how to cite R or R packages in publications. 377s 377s Type 'demo()' for some demos, 'help()' for on-line help, or 377s 'help.start()' for an HTML browser interface to help. 377s Type 'q()' to quit R. 377s 377s > library('rrcov') 377s Loading required package: robustbase 377s Scalable Robust Estimators with High Breakdown Point (version 1.7-5) 377s 377s > 377s > 377s Other tests are currently unsupported! 377s They will be progressively added. 378s autopkgtest [12:42:09]: test pkg-r-autopkgtest: -----------------------] 381s pkg-r-autopkgtest PASS 381s autopkgtest [12:42:12]: test pkg-r-autopkgtest: - - - - - - - - - - results - - - - - - - - - - 385s autopkgtest [12:42:16]: @@@@@@@@@@@@@@@@@@@@ summary 385s run-unit-test PASS 385s pkg-r-autopkgtest PASS