0s autopkgtest [22:26:32]: starting date and time: 2025-03-15 22:26:32+0000 0s autopkgtest [22:26:32]: git checkout: 325255d2 Merge branch 'pin-any-arch' into 'ubuntu/production' 0s autopkgtest [22:26:32]: host juju-7f2275-prod-proposed-migration-environment-15; command line: /home/ubuntu/autopkgtest/runner/autopkgtest --output-dir /tmp/autopkgtest-work.dnr4n9ay/out --timeout-copy=6000 --setup-commands /home/ubuntu/autopkgtest-cloud/worker-config-production/setup-canonical.sh --apt-pocket=proposed=src:glibc --apt-upgrade r-cran-rrcov --timeout-short=300 --timeout-copy=20000 --timeout-build=20000 --env=ADT_TEST_TRIGGERS=glibc/2.41-1ubuntu2 -- ssh -s /home/ubuntu/autopkgtest/ssh-setup/nova -- --flavor builder-cpu2-ram4-disk20 --security-groups autopkgtest-juju-7f2275-prod-proposed-migration-environment-15@bos03-24.secgroup --name adt-plucky-amd64-r-cran-rrcov-20250315-222631-juju-7f2275-prod-proposed-migration-environment-15-69fbd184-9b28-4209-aed8-ff3467eccfaa --image adt/ubuntu-plucky-amd64-server --keyname testbed-juju-7f2275-prod-proposed-migration-environment-15 --net-id=net_prod-proposed-migration-amd64 -e TERM=linux -e ''"'"'http_proxy=http://squid.internal:3128'"'"'' -e ''"'"'https_proxy=http://squid.internal:3128'"'"'' -e ''"'"'no_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,keyserver.ubuntu.com,launchpadlibrarian.net,launchpadcontent.net,launchpad.net,10.24.0.0/24,keystone.ps5.canonical.com,objectstorage.prodstack5.canonical.com,radosgw.ps5.canonical.com'"'"'' --mirror=http://ftpmaster.internal/ubuntu/ 51s autopkgtest [22:27:23]: testbed dpkg architecture: amd64 52s autopkgtest [22:27:24]: testbed apt version: 2.9.31ubuntu1 52s autopkgtest [22:27:24]: @@@@@@@@@@@@@@@@@@@@ test bed setup 52s autopkgtest [22:27:24]: testbed release detected to be: None 53s autopkgtest [22:27:25]: updating testbed package index (apt update) 53s Get:1 http://ftpmaster.internal/ubuntu plucky-proposed InRelease [126 kB] 53s Hit:2 http://ftpmaster.internal/ubuntu plucky InRelease 54s Hit:3 http://ftpmaster.internal/ubuntu plucky-updates InRelease 54s Hit:4 http://ftpmaster.internal/ubuntu plucky-security InRelease 54s Get:5 http://ftpmaster.internal/ubuntu plucky-proposed/universe Sources [369 kB] 54s Get:6 http://ftpmaster.internal/ubuntu plucky-proposed/main Sources [44.1 kB] 54s Get:7 http://ftpmaster.internal/ubuntu plucky-proposed/multiverse Sources [14.5 kB] 54s Get:8 http://ftpmaster.internal/ubuntu plucky-proposed/main amd64 Packages [85.7 kB] 54s Get:9 http://ftpmaster.internal/ubuntu plucky-proposed/main i386 Packages [67.4 kB] 54s Get:10 http://ftpmaster.internal/ubuntu plucky-proposed/main amd64 c-n-f Metadata [1852 B] 54s Get:11 http://ftpmaster.internal/ubuntu plucky-proposed/restricted amd64 c-n-f Metadata [116 B] 54s Get:12 http://ftpmaster.internal/ubuntu plucky-proposed/universe amd64 Packages [342 kB] 54s Get:13 http://ftpmaster.internal/ubuntu plucky-proposed/universe i386 Packages [174 kB] 54s Get:14 http://ftpmaster.internal/ubuntu plucky-proposed/universe amd64 c-n-f Metadata [15.3 kB] 54s Get:15 http://ftpmaster.internal/ubuntu plucky-proposed/multiverse i386 Packages [8544 B] 54s Get:16 http://ftpmaster.internal/ubuntu plucky-proposed/multiverse amd64 Packages [16.1 kB] 54s Get:17 http://ftpmaster.internal/ubuntu plucky-proposed/multiverse amd64 c-n-f Metadata [628 B] 54s Fetched 1265 kB in 1s (1437 kB/s) 55s Reading package lists... 56s + lsb_release --codename --short 56s + RELEASE=plucky 56s + cat 56s + [ plucky != trusty ] 56s + DEBIAN_FRONTEND=noninteractive eatmydata apt-get -y --allow-downgrades -o Dpkg::Options::=--force-confnew dist-upgrade 56s Reading package lists... 56s Building dependency tree... 56s Reading state information... 56s Calculating upgrade... 57s Calculating upgrade... 57s The following package was automatically installed and is no longer required: 57s libnl-genl-3-200 57s Use 'sudo apt autoremove' to remove it. 57s The following NEW packages will be installed: 57s bpftool libdebuginfod-common libdebuginfod1t64 linux-headers-6.14.0-10 57s linux-headers-6.14.0-10-generic linux-image-6.14.0-10-generic 57s linux-modules-6.14.0-10-generic linux-modules-extra-6.14.0-10-generic 57s linux-perf linux-tools-6.14.0-10 linux-tools-6.14.0-10-generic pnp.ids 57s The following packages will be upgraded: 57s apparmor apt apt-utils binutils binutils-common binutils-x86-64-linux-gnu 57s cloud-init cloud-init-base curl dosfstools exfatprogs fwupd gcc-15-base 57s gir1.2-girepository-2.0 gir1.2-glib-2.0 htop hwdata initramfs-tools 57s initramfs-tools-bin initramfs-tools-core libapparmor1 libapt-pkg7.0 57s libassuan9 libatomic1 libaudit-common libaudit1 libbinutils libbrotli1 57s libc-bin libc-dev-bin libc6 libc6-dev libcap-ng0 libctf-nobfd0 libctf0 57s libcurl3t64-gnutls libcurl4t64 libestr0 libftdi1-2 libfwupd3 libgcc-s1 57s libgirepository-1.0-1 libglib2.0-0t64 libglib2.0-data libgpgme11t64 57s libgprofng0 libjemalloc2 liblz4-1 liblzma5 libmm-glib0 libncurses6 57s libncursesw6 libnewt0.52 libnl-3-200 libnl-genl-3-200 libnl-route-3-200 57s libnss-systemd libpam-systemd libparted2t64 libpci3 libpython3-stdlib 57s libpython3.13 libpython3.13-minimal libpython3.13-stdlib libseccomp2 57s libselinux1 libsemanage-common libsemanage2 libsframe1 libsqlite3-0 57s libstdc++6 libsystemd-shared libsystemd0 libtinfo6 libudev1 libxml2 57s linux-firmware linux-generic linux-headers-generic linux-headers-virtual 57s linux-image-generic linux-image-virtual linux-libc-dev linux-tools-common 57s linux-virtual locales media-types ncurses-base ncurses-bin ncurses-term 57s parted pci.ids pciutils pinentry-curses python-apt-common python3 57s python3-apt python3-bcrypt python3-cffi-backend python3-dbus python3-gi 57s python3-jinja2 python3-lazr.uri python3-markupsafe python3-minimal 57s python3-newt python3-rpds-py python3-systemd python3-yaml python3.13 57s python3.13-gdbm python3.13-minimal rsync rsyslog strace systemd 57s systemd-cryptsetup systemd-resolved systemd-sysv systemd-timesyncd 57s ubuntu-kernel-accessories ubuntu-minimal ubuntu-standard udev whiptail 57s xz-utils 57s 126 upgraded, 12 newly installed, 0 to remove and 0 not upgraded. 57s Need to get 829 MB of archives. 57s After this operation, 325 MB of additional disk space will be used. 57s Get:1 http://ftpmaster.internal/ubuntu plucky/main amd64 ncurses-bin amd64 6.5+20250216-2 [194 kB] 57s Get:2 http://ftpmaster.internal/ubuntu plucky/main amd64 libc-dev-bin amd64 2.41-1ubuntu1 [24.7 kB] 57s Get:3 http://ftpmaster.internal/ubuntu plucky/main amd64 libc6-dev amd64 2.41-1ubuntu1 [2182 kB] 57s Get:4 http://ftpmaster.internal/ubuntu plucky/main amd64 locales all 2.41-1ubuntu1 [4246 kB] 58s Get:5 http://ftpmaster.internal/ubuntu plucky/main amd64 libc6 amd64 2.41-1ubuntu1 [3327 kB] 58s Get:6 http://ftpmaster.internal/ubuntu plucky/main amd64 libc-bin amd64 2.41-1ubuntu1 [701 kB] 58s Get:7 http://ftpmaster.internal/ubuntu plucky/main amd64 linux-libc-dev amd64 6.14.0-10.10 [1723 kB] 58s Get:8 http://ftpmaster.internal/ubuntu plucky/main amd64 libatomic1 amd64 15-20250222-0ubuntu1 [10.4 kB] 58s Get:9 http://ftpmaster.internal/ubuntu plucky/main amd64 gcc-15-base amd64 15-20250222-0ubuntu1 [53.4 kB] 58s Get:10 http://ftpmaster.internal/ubuntu plucky/main amd64 libgcc-s1 amd64 15-20250222-0ubuntu1 [77.8 kB] 58s Get:11 http://ftpmaster.internal/ubuntu plucky/main amd64 libstdc++6 amd64 15-20250222-0ubuntu1 [798 kB] 58s Get:12 http://ftpmaster.internal/ubuntu plucky/main amd64 ncurses-base all 6.5+20250216-2 [25.9 kB] 58s Get:13 http://ftpmaster.internal/ubuntu plucky/main amd64 ncurses-term all 6.5+20250216-2 [276 kB] 58s Get:14 http://ftpmaster.internal/ubuntu plucky/main amd64 liblz4-1 amd64 1.10.0-4 [66.4 kB] 58s Get:15 http://ftpmaster.internal/ubuntu plucky/main amd64 liblzma5 amd64 5.6.4-1 [157 kB] 58s Get:16 http://ftpmaster.internal/ubuntu plucky/main amd64 libsystemd0 amd64 257.3-1ubuntu3 [595 kB] 58s Get:17 http://ftpmaster.internal/ubuntu plucky/main amd64 libnss-systemd amd64 257.3-1ubuntu3 [199 kB] 58s Get:18 http://ftpmaster.internal/ubuntu plucky/main amd64 systemd-sysv amd64 257.3-1ubuntu3 [11.9 kB] 58s Get:19 http://ftpmaster.internal/ubuntu plucky/main amd64 systemd-resolved amd64 257.3-1ubuntu3 [345 kB] 58s Get:20 http://ftpmaster.internal/ubuntu plucky/main amd64 libpam-systemd amd64 257.3-1ubuntu3 [302 kB] 58s Get:21 http://ftpmaster.internal/ubuntu plucky/main amd64 libsystemd-shared amd64 257.3-1ubuntu3 [2371 kB] 58s Get:22 http://ftpmaster.internal/ubuntu plucky/main amd64 systemd amd64 257.3-1ubuntu3 [3052 kB] 58s Get:23 http://ftpmaster.internal/ubuntu plucky/main amd64 systemd-timesyncd amd64 257.3-1ubuntu3 [42.1 kB] 58s Get:24 http://ftpmaster.internal/ubuntu plucky/main amd64 systemd-cryptsetup amd64 257.3-1ubuntu3 [124 kB] 58s Get:25 http://ftpmaster.internal/ubuntu plucky/main amd64 udev amd64 257.3-1ubuntu3 [1404 kB] 58s Get:26 http://ftpmaster.internal/ubuntu plucky/main amd64 libudev1 amd64 257.3-1ubuntu3 [215 kB] 58s Get:27 http://ftpmaster.internal/ubuntu plucky/main amd64 libaudit-common all 1:4.0.2-2ubuntu2 [6628 B] 58s Get:28 http://ftpmaster.internal/ubuntu plucky/main amd64 libcap-ng0 amd64 0.8.5-4build1 [15.6 kB] 58s Get:29 http://ftpmaster.internal/ubuntu plucky/main amd64 libaudit1 amd64 1:4.0.2-2ubuntu2 [54.0 kB] 58s Get:30 http://ftpmaster.internal/ubuntu plucky/main amd64 libseccomp2 amd64 2.5.5-1ubuntu6 [53.5 kB] 58s Get:31 http://ftpmaster.internal/ubuntu plucky/main amd64 libselinux1 amd64 3.7-3ubuntu3 [87.3 kB] 58s Get:32 http://ftpmaster.internal/ubuntu plucky/main amd64 libapparmor1 amd64 4.1.0~beta5-0ubuntu8 [55.0 kB] 58s Get:33 http://ftpmaster.internal/ubuntu plucky/main amd64 libapt-pkg7.0 amd64 2.9.33 [1138 kB] 58s Get:34 http://ftpmaster.internal/ubuntu plucky/main amd64 apt amd64 2.9.33 [1439 kB] 58s Get:35 http://ftpmaster.internal/ubuntu plucky/main amd64 apt-utils amd64 2.9.33 [222 kB] 58s Get:36 http://ftpmaster.internal/ubuntu plucky/main amd64 python3-minimal amd64 3.13.2-2 [27.7 kB] 58s Get:37 http://ftpmaster.internal/ubuntu plucky/main amd64 python3 amd64 3.13.2-2 [24.0 kB] 58s Get:38 http://ftpmaster.internal/ubuntu plucky/main amd64 libpython3.13 amd64 3.13.2-2 [2341 kB] 59s Get:39 http://ftpmaster.internal/ubuntu plucky/main amd64 media-types all 13.0.0 [29.9 kB] 59s Get:40 http://ftpmaster.internal/ubuntu plucky/main amd64 libncurses6 amd64 6.5+20250216-2 [126 kB] 59s Get:41 http://ftpmaster.internal/ubuntu plucky/main amd64 libncursesw6 amd64 6.5+20250216-2 [165 kB] 59s Get:42 http://ftpmaster.internal/ubuntu plucky/main amd64 libtinfo6 amd64 6.5+20250216-2 [119 kB] 59s Get:43 http://ftpmaster.internal/ubuntu plucky/main amd64 libsqlite3-0 amd64 3.46.1-2 [715 kB] 59s Get:44 http://ftpmaster.internal/ubuntu plucky/main amd64 python3.13 amd64 3.13.2-2 [735 kB] 59s Get:45 http://ftpmaster.internal/ubuntu plucky/main amd64 python3.13-minimal amd64 3.13.2-2 [2365 kB] 59s Get:46 http://ftpmaster.internal/ubuntu plucky/main amd64 libpython3.13-minimal amd64 3.13.2-2 [883 kB] 59s Get:47 http://ftpmaster.internal/ubuntu plucky/main amd64 libpython3.13-stdlib amd64 3.13.2-2 [2066 kB] 59s Get:48 http://ftpmaster.internal/ubuntu plucky/main amd64 libpython3-stdlib amd64 3.13.2-2 [10.4 kB] 59s Get:49 http://ftpmaster.internal/ubuntu plucky/main amd64 rsync amd64 3.4.1+ds1-3 [482 kB] 59s Get:50 http://ftpmaster.internal/ubuntu plucky/main amd64 libdebuginfod-common all 0.192-4 [15.4 kB] 59s Get:51 http://ftpmaster.internal/ubuntu plucky/main amd64 libsemanage-common all 3.7-2.1build1 [7268 B] 59s Get:52 http://ftpmaster.internal/ubuntu plucky/main amd64 libsemanage2 amd64 3.7-2.1build1 [106 kB] 59s Get:53 http://ftpmaster.internal/ubuntu plucky/main amd64 libassuan9 amd64 3.0.2-2 [43.1 kB] 59s Get:54 http://ftpmaster.internal/ubuntu plucky/main amd64 gir1.2-girepository-2.0 amd64 1.83.4-1 [25.3 kB] 59s Get:55 http://ftpmaster.internal/ubuntu plucky/main amd64 gir1.2-glib-2.0 amd64 2.84.0-1 [184 kB] 59s Get:56 http://ftpmaster.internal/ubuntu plucky/main amd64 libglib2.0-0t64 amd64 2.84.0-1 [1669 kB] 59s Get:57 http://ftpmaster.internal/ubuntu plucky/main amd64 libgirepository-1.0-1 amd64 1.83.4-1 [89.5 kB] 59s Get:58 http://ftpmaster.internal/ubuntu plucky/main amd64 libestr0 amd64 0.1.11-2 [8340 B] 59s Get:59 http://ftpmaster.internal/ubuntu plucky/main amd64 libglib2.0-data all 2.84.0-1 [53.0 kB] 59s Get:60 http://ftpmaster.internal/ubuntu plucky/main amd64 python3-newt amd64 0.52.24-4ubuntu2 [21.1 kB] 59s Get:61 http://ftpmaster.internal/ubuntu plucky/main amd64 libnewt0.52 amd64 0.52.24-4ubuntu2 [55.7 kB] 59s Get:62 http://ftpmaster.internal/ubuntu plucky/main amd64 libxml2 amd64 2.12.7+dfsg+really2.9.14-0.2ubuntu5 [772 kB] 59s Get:63 http://ftpmaster.internal/ubuntu plucky/main amd64 python-apt-common all 2.9.9build1 [21.3 kB] 59s Get:64 http://ftpmaster.internal/ubuntu plucky/main amd64 python3-apt amd64 2.9.9build1 [172 kB] 59s Get:65 http://ftpmaster.internal/ubuntu plucky/main amd64 python3-cffi-backend amd64 1.17.1-2build2 [96.6 kB] 59s Get:66 http://ftpmaster.internal/ubuntu plucky/main amd64 python3-dbus amd64 1.3.2-5build5 [102 kB] 59s Get:67 http://ftpmaster.internal/ubuntu plucky/main amd64 python3-gi amd64 3.50.0-4build1 [252 kB] 59s Get:68 http://ftpmaster.internal/ubuntu plucky/main amd64 python3-yaml amd64 6.0.2-1build2 [144 kB] 59s Get:69 http://ftpmaster.internal/ubuntu plucky/main amd64 rsyslog amd64 8.2412.0-2ubuntu2 [555 kB] 59s Get:70 http://ftpmaster.internal/ubuntu plucky/main amd64 whiptail amd64 0.52.24-4ubuntu2 [19.1 kB] 59s Get:71 http://ftpmaster.internal/ubuntu plucky/main amd64 ubuntu-minimal amd64 1.549 [11.5 kB] 59s Get:72 http://ftpmaster.internal/ubuntu plucky/main amd64 apparmor amd64 4.1.0~beta5-0ubuntu8 [701 kB] 59s Get:73 http://ftpmaster.internal/ubuntu plucky/main amd64 dosfstools amd64 4.2-1.2 [95.0 kB] 59s Get:74 http://ftpmaster.internal/ubuntu plucky/main amd64 libnl-genl-3-200 amd64 3.7.0-1 [12.2 kB] 59s Get:75 http://ftpmaster.internal/ubuntu plucky/main amd64 libnl-route-3-200 amd64 3.7.0-1 [191 kB] 59s Get:76 http://ftpmaster.internal/ubuntu plucky/main amd64 libnl-3-200 amd64 3.7.0-1 [64.9 kB] 59s Get:77 http://ftpmaster.internal/ubuntu plucky/main amd64 parted amd64 3.6-5 [53.9 kB] 59s Get:78 http://ftpmaster.internal/ubuntu plucky/main amd64 libparted2t64 amd64 3.6-5 [158 kB] 59s Get:79 http://ftpmaster.internal/ubuntu plucky/main amd64 pci.ids all 0.0~2025.03.09-1 [285 kB] 59s Get:80 http://ftpmaster.internal/ubuntu plucky/main amd64 pciutils amd64 1:3.13.0-2 [110 kB] 59s Get:81 http://ftpmaster.internal/ubuntu plucky/main amd64 libpci3 amd64 1:3.13.0-2 [39.8 kB] 59s Get:82 http://ftpmaster.internal/ubuntu plucky/main amd64 strace amd64 6.13+ds-1ubuntu1 [622 kB] 59s Get:83 http://ftpmaster.internal/ubuntu plucky/main amd64 xz-utils amd64 5.6.4-1 [278 kB] 59s Get:84 http://ftpmaster.internal/ubuntu plucky/main amd64 ubuntu-standard amd64 1.549 [11.5 kB] 59s Get:85 http://ftpmaster.internal/ubuntu plucky/main amd64 libgprofng0 amd64 2.44-3ubuntu1 [886 kB] 59s Get:86 http://ftpmaster.internal/ubuntu plucky/main amd64 libctf0 amd64 2.44-3ubuntu1 [96.5 kB] 59s Get:87 http://ftpmaster.internal/ubuntu plucky/main amd64 libctf-nobfd0 amd64 2.44-3ubuntu1 [98.9 kB] 59s Get:88 http://ftpmaster.internal/ubuntu plucky/main amd64 binutils-x86-64-linux-gnu amd64 2.44-3ubuntu1 [1108 kB] 59s Get:89 http://ftpmaster.internal/ubuntu plucky/main amd64 libbinutils amd64 2.44-3ubuntu1 [585 kB] 59s Get:90 http://ftpmaster.internal/ubuntu plucky/main amd64 binutils amd64 2.44-3ubuntu1 [208 kB] 59s Get:91 http://ftpmaster.internal/ubuntu plucky/main amd64 binutils-common amd64 2.44-3ubuntu1 [215 kB] 59s Get:92 http://ftpmaster.internal/ubuntu plucky/main amd64 libsframe1 amd64 2.44-3ubuntu1 [14.8 kB] 59s Get:93 http://ftpmaster.internal/ubuntu plucky/main amd64 hwdata all 0.393-3 [1562 B] 59s Get:94 http://ftpmaster.internal/ubuntu plucky/main amd64 pnp.ids all 0.393-3 [29.5 kB] 59s Get:95 http://ftpmaster.internal/ubuntu plucky/main amd64 linux-tools-common all 6.14.0-10.10 [295 kB] 59s Get:96 http://ftpmaster.internal/ubuntu plucky/main amd64 bpftool amd64 7.6.0+6.14.0-10.10 [1147 kB] 59s Get:97 http://ftpmaster.internal/ubuntu plucky/main amd64 python3-markupsafe amd64 2.1.5-1build4 [13.4 kB] 59s Get:98 http://ftpmaster.internal/ubuntu plucky/main amd64 python3-jinja2 all 3.1.5-2ubuntu1 [109 kB] 59s Get:99 http://ftpmaster.internal/ubuntu plucky/main amd64 cloud-init-base all 25.1-0ubuntu3 [616 kB] 59s Get:100 http://ftpmaster.internal/ubuntu plucky/main amd64 libbrotli1 amd64 1.1.0-2build4 [365 kB] 59s Get:101 http://ftpmaster.internal/ubuntu plucky/main amd64 curl amd64 8.12.1-3ubuntu1 [258 kB] 60s Get:102 http://ftpmaster.internal/ubuntu plucky/main amd64 libcurl4t64 amd64 8.12.1-3ubuntu1 [437 kB] 60s Get:103 http://ftpmaster.internal/ubuntu plucky/main amd64 exfatprogs amd64 1.2.8-1 [76.3 kB] 60s Get:104 http://ftpmaster.internal/ubuntu plucky/main amd64 libcurl3t64-gnutls amd64 8.12.1-3ubuntu1 [432 kB] 60s Get:105 http://ftpmaster.internal/ubuntu plucky/main amd64 fwupd amd64 2.0.6-4 [5408 kB] 60s Get:106 http://ftpmaster.internal/ubuntu plucky/main amd64 libfwupd3 amd64 2.0.6-4 [136 kB] 60s Get:107 http://ftpmaster.internal/ubuntu plucky/main amd64 libmm-glib0 amd64 1.23.4-0ubuntu3 [251 kB] 60s Get:108 http://ftpmaster.internal/ubuntu plucky/main amd64 htop amd64 3.4.0-2 [195 kB] 60s Get:109 http://ftpmaster.internal/ubuntu plucky/main amd64 linux-firmware amd64 20250310.git9e1370d3-0ubuntu1 [571 MB] 78s Get:110 http://ftpmaster.internal/ubuntu plucky/main amd64 initramfs-tools all 0.146ubuntu1 [7920 B] 78s Get:111 http://ftpmaster.internal/ubuntu plucky/main amd64 initramfs-tools-core all 0.146ubuntu1 [51.9 kB] 78s Get:112 http://ftpmaster.internal/ubuntu plucky/main amd64 initramfs-tools-bin amd64 0.146ubuntu1 [26.2 kB] 78s Get:113 http://ftpmaster.internal/ubuntu plucky/main amd64 libdebuginfod1t64 amd64 0.192-4 [21.0 kB] 78s Get:114 http://ftpmaster.internal/ubuntu plucky/main amd64 libftdi1-2 amd64 1.5-8build1 [30.2 kB] 78s Get:115 http://ftpmaster.internal/ubuntu plucky/main amd64 libgpgme11t64 amd64 1.24.2-1ubuntu2 [155 kB] 78s Get:116 http://ftpmaster.internal/ubuntu plucky/main amd64 libjemalloc2 amd64 5.3.0-3 [277 kB] 78s Get:117 http://ftpmaster.internal/ubuntu plucky/main amd64 linux-modules-6.14.0-10-generic amd64 6.14.0-10.10 [41.2 MB] 79s Get:118 http://ftpmaster.internal/ubuntu plucky/main amd64 linux-image-6.14.0-10-generic amd64 6.14.0-10.10 [15.3 MB] 80s Get:119 http://ftpmaster.internal/ubuntu plucky/main amd64 linux-modules-extra-6.14.0-10-generic amd64 6.14.0-10.10 [120 MB] 83s Get:120 http://ftpmaster.internal/ubuntu plucky/main amd64 linux-generic amd64 6.14.0-10.10 [1730 B] 83s Get:121 http://ftpmaster.internal/ubuntu plucky/main amd64 linux-image-generic amd64 6.14.0-10.10 [11.1 kB] 83s Get:122 http://ftpmaster.internal/ubuntu plucky/main amd64 linux-virtual amd64 6.14.0-10.10 [1722 B] 83s Get:123 http://ftpmaster.internal/ubuntu plucky/main amd64 linux-image-virtual amd64 6.14.0-10.10 [11.1 kB] 83s Get:124 http://ftpmaster.internal/ubuntu plucky/main amd64 linux-headers-virtual amd64 6.14.0-10.10 [1642 B] 83s Get:125 http://ftpmaster.internal/ubuntu plucky/main amd64 linux-headers-6.14.0-10 all 6.14.0-10.10 [14.2 MB] 83s Get:126 http://ftpmaster.internal/ubuntu plucky/main amd64 linux-headers-6.14.0-10-generic amd64 6.14.0-10.10 [3915 kB] 83s Get:127 http://ftpmaster.internal/ubuntu plucky/main amd64 linux-headers-generic amd64 6.14.0-10.10 [11.0 kB] 83s Get:128 http://ftpmaster.internal/ubuntu plucky/main amd64 linux-perf amd64 6.14.0-10.10 [4122 kB] 83s Get:129 http://ftpmaster.internal/ubuntu plucky/main amd64 linux-tools-6.14.0-10 amd64 6.14.0-10.10 [1394 kB] 83s Get:130 http://ftpmaster.internal/ubuntu plucky/main amd64 linux-tools-6.14.0-10-generic amd64 6.14.0-10.10 [830 B] 83s Get:131 http://ftpmaster.internal/ubuntu plucky/main amd64 pinentry-curses amd64 1.3.1-2ubuntu3 [42.3 kB] 83s Get:132 http://ftpmaster.internal/ubuntu plucky/main amd64 python3-lazr.uri all 1.0.6-6 [13.7 kB] 83s Get:133 http://ftpmaster.internal/ubuntu plucky/main amd64 python3-rpds-py amd64 0.21.0-2ubuntu2 [278 kB] 83s Get:134 http://ftpmaster.internal/ubuntu plucky/main amd64 python3-systemd amd64 235-1build6 [43.9 kB] 83s Get:135 http://ftpmaster.internal/ubuntu plucky/main amd64 python3.13-gdbm amd64 3.13.2-2 [31.9 kB] 83s Get:136 http://ftpmaster.internal/ubuntu plucky/main amd64 ubuntu-kernel-accessories amd64 1.549 [11.2 kB] 83s Get:137 http://ftpmaster.internal/ubuntu plucky/main amd64 cloud-init all 25.1-0ubuntu3 [2100 B] 83s Get:138 http://ftpmaster.internal/ubuntu plucky/main amd64 python3-bcrypt amd64 4.2.0-2.1build1 [221 kB] 84s Preconfiguring packages ... 84s Fetched 829 MB in 26s (31.5 MB/s) 84s (Reading database ... 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over (0.21.0-2ubuntu1) ... 106s Preparing to unpack .../80-python3-systemd_235-1build6_amd64.deb ... 106s Unpacking python3-systemd (235-1build6) over (235-1build5) ... 106s Preparing to unpack .../81-python3.13-gdbm_3.13.2-2_amd64.deb ... 106s Unpacking python3.13-gdbm (3.13.2-2) over (3.13.2-1) ... 106s Preparing to unpack .../82-ubuntu-kernel-accessories_1.549_amd64.deb ... 106s Unpacking ubuntu-kernel-accessories (1.549) over (1.548) ... 106s Preparing to unpack .../83-cloud-init_25.1-0ubuntu3_all.deb ... 106s Unpacking cloud-init (25.1-0ubuntu3) over (25.1-0ubuntu2) ... 106s Preparing to unpack .../84-python3-bcrypt_4.2.0-2.1build1_amd64.deb ... 106s Unpacking python3-bcrypt (4.2.0-2.1build1) over (4.2.0-2.1) ... 107s Setting up linux-headers-6.14.0-10 (6.14.0-10.10) ... 107s Setting up media-types (13.0.0) ... 107s Installing new version of config file /etc/mime.types ... 107s Setting up linux-headers-6.14.0-10-generic (6.14.0-10.10) ... 107s Setting up ubuntu-kernel-accessories (1.549) ... 107s Setting up libapparmor1:amd64 (4.1.0~beta5-0ubuntu8) ... 107s Setting up pci.ids (0.0~2025.03.09-1) ... 107s Setting up libnewt0.52:amd64 (0.52.24-4ubuntu2) ... 107s Setting up apt-utils (2.9.33) ... 107s Setting up libdebuginfod-common (0.192-4) ... 107s Setting up exfatprogs (1.2.8-1) ... 107s Setting up linux-firmware (20250310.git9e1370d3-0ubuntu1) ... 107s Setting up bpftool (7.6.0+6.14.0-10.10) ... 107s Setting up libestr0:amd64 (0.1.11-2) ... 107s Setting up libbrotli1:amd64 (1.1.0-2build4) ... 107s Setting up libsqlite3-0:amd64 (3.46.1-2) ... 107s Setting up dosfstools (4.2-1.2) ... 107s Setting up rsyslog (8.2412.0-2ubuntu2) ... 107s info: The user `syslog' is already a member of `adm'. 108s Setting up binutils-common:amd64 (2.44-3ubuntu1) ... 108s Setting up libcurl3t64-gnutls:amd64 (8.12.1-3ubuntu1) ... 108s Setting up linux-libc-dev:amd64 (6.14.0-10.10) ... 108s Setting up libctf-nobfd0:amd64 (2.44-3ubuntu1) ... 108s Setting up systemd (257.3-1ubuntu3) ... 108s /usr/lib/tmpfiles.d/legacy.conf:14: Duplicate line for path "/run/lock", ignoring. 108s Created symlink '/run/systemd/system/tmp.mount' → '/dev/null'. 108s /usr/lib/tmpfiles.d/legacy.conf:14: Duplicate line for path "/run/lock", ignoring. 109s Setting up libparted2t64:amd64 (3.6-5) ... 109s Removing 'diversion of /lib/x86_64-linux-gnu/libparted.so.2 to /lib/x86_64-linux-gnu/libparted.so.2.usr-is-merged by libparted2t64' 109s Removing 'diversion of /lib/x86_64-linux-gnu/libparted.so.2.0.5 to /lib/x86_64-linux-gnu/libparted.so.2.0.5.usr-is-merged by libparted2t64' 109s Setting up linux-headers-generic (6.14.0-10.10) ... 109s Setting up libjemalloc2:amd64 (5.3.0-3) ... 109s Setting up locales (2.41-1ubuntu1) ... 109s Installing new version of config file /etc/locale.alias ... 109s Generating locales (this might take a while)... 111s en_US.UTF-8... done 111s Generation complete. 111s Setting up libsframe1:amd64 (2.44-3ubuntu1) ... 111s Setting up libpython3.13-minimal:amd64 (3.13.2-2) ... 111s Setting up apparmor (4.1.0~beta5-0ubuntu8) ... 111s Installing new version of config file /etc/apparmor.d/fusermount3 ... 111s Installing new version of config file /etc/apparmor.d/lsusb ... 111s Installing new version of config file /etc/apparmor.d/openvpn ... 112s Reloading AppArmor profiles 113s Setting up libftdi1-2:amd64 (1.5-8build1) ... 113s Setting up libglib2.0-data (2.84.0-1) ... 113s Setting up systemd-cryptsetup (257.3-1ubuntu3) ... 113s Setting up libncurses6:amd64 (6.5+20250216-2) ... 113s Setting up strace (6.13+ds-1ubuntu1) ... 113s Setting up xz-utils (5.6.4-1) ... 113s Setting up systemd-timesyncd (257.3-1ubuntu3) ... 114s systemd-time-wait-sync.service is a disabled or a static unit not running, not starting it. 114s Setting up libatomic1:amd64 (15-20250222-0ubuntu1) ... 114s Setting up udev (257.3-1ubuntu3) ... 115s Setting up linux-modules-6.14.0-10-generic (6.14.0-10.10) ... 117s Setting up libncursesw6:amd64 (6.5+20250216-2) ... 117s Setting up libpci3:amd64 (1:3.13.0-2) ... 117s Setting up whiptail (0.52.24-4ubuntu2) ... 117s Setting up python-apt-common (2.9.9build1) ... 117s Setting up pnp.ids (0.393-3) ... 117s Setting up libnl-3-200:amd64 (3.7.0-1) ... 117s Setting up python3.13-minimal (3.13.2-2) ... 117s Setting up libgpgme11t64:amd64 (1.24.2-1ubuntu2) ... 117s Setting up libbinutils:amd64 (2.44-3ubuntu1) ... 117s Setting up libc-dev-bin (2.41-1ubuntu1) ... 117s Setting up libpython3.13-stdlib:amd64 (3.13.2-2) ... 117s Setting up libxml2:amd64 (2.12.7+dfsg+really2.9.14-0.2ubuntu5) ... 117s Setting up rsync (3.4.1+ds1-3) ... 118s rsync.service is a disabled or a static unit not running, not starting it. 118s Setting up python3.13-gdbm (3.13.2-2) ... 118s Setting up libpython3-stdlib:amd64 (3.13.2-2) ... 118s Setting up systemd-resolved (257.3-1ubuntu3) ... 118s Setting up initramfs-tools-bin (0.146ubuntu1) ... 118s Setting up ncurses-term (6.5+20250216-2) ... 118s Setting up libctf0:amd64 (2.44-3ubuntu1) ... 118s Setting up libpython3.13:amd64 (3.13.2-2) ... 118s Setting up pinentry-curses (1.3.1-2ubuntu3) ... 119s Setting up libdebuginfod1t64:amd64 (0.192-4) ... 119s Setting up systemd-sysv (257.3-1ubuntu3) ... 119s Setting up linux-headers-virtual (6.14.0-10.10) ... 119s Setting up libcurl4t64:amd64 (8.12.1-3ubuntu1) ... 119s Setting up python3.13 (3.13.2-2) ... 119s Setting up htop (3.4.0-2) ... 119s Setting up linux-image-6.14.0-10-generic (6.14.0-10.10) ... 122s I: /boot/vmlinuz.old is now a symlink to vmlinuz-6.12.0-16-generic 122s I: /boot/initrd.img.old is now a symlink to initrd.img-6.12.0-16-generic 122s I: /boot/vmlinuz is now a symlink to vmlinuz-6.14.0-10-generic 122s I: /boot/initrd.img is now a symlink to initrd.img-6.14.0-10-generic 122s Setting up parted (3.6-5) ... 122s Setting up libnss-systemd:amd64 (257.3-1ubuntu3) ... 122s Setting up python3 (3.13.2-2) ... 122s Setting up python3-newt:amd64 (0.52.24-4ubuntu2) ... 122s Setting up python3-markupsafe (2.1.5-1build4) ... 122s Setting up linux-modules-extra-6.14.0-10-generic (6.14.0-10.10) ... 124s Setting up libnl-route-3-200:amd64 (3.7.0-1) ... 124s Setting up hwdata (0.393-3) ... 124s Setting up python3-jinja2 (3.1.5-2ubuntu1) ... 124s Setting up libglib2.0-0t64:amd64 (2.84.0-1) ... 124s No schema files found: doing nothing. 124s Setting up libgprofng0:amd64 (2.44-3ubuntu1) ... 124s Setting up linux-perf (6.14.0-10.10) ... 124s Setting up gir1.2-glib-2.0:amd64 (2.84.0-1) ... 124s Setting up pciutils (1:3.13.0-2) ... 124s Setting up python3-rpds-py (0.21.0-2ubuntu2) ... 124s Setting up libmm-glib0:amd64 (1.23.4-0ubuntu3) ... 124s Setting up libnl-genl-3-200:amd64 (3.7.0-1) ... 124s Setting up libpam-systemd:amd64 (257.3-1ubuntu3) ... 124s Setting up libc6-dev:amd64 (2.41-1ubuntu1) ... 124s Setting up libgirepository-1.0-1:amd64 (1.83.4-1) ... 124s Setting up curl (8.12.1-3ubuntu1) ... 124s Setting up linux-image-virtual (6.14.0-10.10) ... 124s Setting up initramfs-tools-core (0.146ubuntu1) ... 124s Setting up linux-tools-common (6.14.0-10.10) ... 124s Setting up python3-systemd (235-1build6) ... 124s Setting up python3-cffi-backend:amd64 (1.17.1-2build2) ... 124s Setting up binutils-x86-64-linux-gnu (2.44-3ubuntu1) ... 124s Setting up linux-image-generic (6.14.0-10.10) ... 124s Setting up python3-dbus (1.3.2-5build5) ... 124s Setting up linux-tools-6.14.0-10 (6.14.0-10.10) ... 124s Setting up initramfs-tools (0.146ubuntu1) ... 124s Installing new version of config file /etc/kernel/postinst.d/initramfs-tools ... 124s Installing new version of config file /etc/kernel/postrm.d/initramfs-tools ... 124s update-initramfs: deferring update (trigger activated) 124s Setting up linux-generic (6.14.0-10.10) ... 124s Setting up ubuntu-minimal (1.549) ... 124s Setting up python3-apt (2.9.9build1) ... 124s Setting up python3-bcrypt (4.2.0-2.1build1) ... 125s Setting up python3-yaml (6.0.2-1build2) ... 125s Setting up libfwupd3:amd64 (2.0.6-4) ... 125s Setting up python3-lazr.uri (1.0.6-6) ... 125s Setting up binutils (2.44-3ubuntu1) ... 125s Setting up ubuntu-standard (1.549) ... 125s Setting up cloud-init-base (25.1-0ubuntu3) ... 126s Setting up linux-virtual (6.14.0-10.10) ... 126s Setting up gir1.2-girepository-2.0:amd64 (1.83.4-1) ... 126s Setting up python3-gi (3.50.0-4build1) ... 127s Setting up linux-tools-6.14.0-10-generic (6.14.0-10.10) ... 127s Setting up fwupd (2.0.6-4) ... 127s fwupd-refresh.service is a disabled or a static unit not running, not starting it. 127s fwupd.service is a disabled or a static unit not running, not starting it. 127s Setting up cloud-init (25.1-0ubuntu3) ... 127s Processing triggers for man-db (2.13.0-1) ... 129s Processing triggers for dbus (1.16.2-1ubuntu1) ... 129s Processing triggers for shared-mime-info (2.4-5) ... 129s Warning: program compiled against libxml 212 using older 209 129s Processing triggers for libc-bin (2.41-1ubuntu1) ... 129s Processing triggers for linux-image-6.14.0-10-generic (6.14.0-10.10) ... 129s /etc/kernel/postinst.d/initramfs-tools: 129s update-initramfs: Generating /boot/initrd.img-6.14.0-10-generic 129s W: No lz4 in /usr/bin:/sbin:/bin, using gzip 140s /etc/kernel/postinst.d/zz-update-grub: 140s Sourcing file `/etc/default/grub' 140s Sourcing file `/etc/default/grub.d/50-cloudimg-settings.cfg' 140s Sourcing file `/etc/default/grub.d/90-autopkgtest.cfg' 140s Generating grub configuration file ... 140s Found linux image: /boot/vmlinuz-6.14.0-10-generic 140s Found initrd image: /boot/initrd.img-6.14.0-10-generic 140s Found linux image: /boot/vmlinuz-6.12.0-16-generic 140s Found initrd image: /boot/initrd.img-6.12.0-16-generic 140s Found linux image: /boot/vmlinuz-6.11.0-8-generic 140s Found initrd image: /boot/initrd.img-6.11.0-8-generic 141s Warning: os-prober will not be executed to detect other bootable partitions. 141s Systems on them will not be added to the GRUB boot configuration. 141s Check GRUB_DISABLE_OS_PROBER documentation entry. 141s Adding boot menu entry for UEFI Firmware Settings ... 141s done 141s Processing triggers for initramfs-tools (0.146ubuntu1) ... 141s update-initramfs: Generating /boot/initrd.img-6.14.0-10-generic 141s W: No lz4 in /usr/bin:/sbin:/bin, using gzip 151s + rm /etc/apt/preferences.d/force-downgrade-to-release.pref 151s + /usr/lib/apt/apt-helper analyze-pattern ?true 151s + uname -r 151s + sed s/\./\\./g 151s + running_kernel_pattern=^linux-.*6\.12\.0-16-generic.* 151s + + tail -n+2 151s + grep -v ^linux-.*6\.12\.0-16-generic.* 151s apt list ?obsolete 151s + cut -d/ -f1 152s + obsolete_pkgs=linux-headers-6.11.0-8-generic 152s linux-headers-6.11.0-8 152s linux-headers-6.12.0-16 152s linux-image-6.11.0-8-generic 152s linux-modules-6.11.0-8-generic 152s linux-tools-6.11.0-8-generic 152s linux-tools-6.11.0-8 152s linux-tools-6.12.0-16 152s + DEBIAN_FRONTEND=noninteractive eatmydata apt-get -y purge --autoremove linux-headers-6.11.0-8-generic linux-headers-6.11.0-8Reading package lists... 152s Building dependency tree... linux-headers-6.12.0-16 linux-image-6.11.0-8-generic linux-modules-6.11.0-8-generic linux-tools-6.11.0-8-generic linux-tools-6.11.0-8 linux-tools-6.12.0-16 153s 153s Reading state information... 153s Solving dependencies... 153s The following packages will be REMOVED: 153s libnl-genl-3-200* libnsl2* libpython3.12-minimal* libpython3.12-stdlib* 153s libpython3.12t64* linux-headers-6.11.0-8* linux-headers-6.11.0-8-generic* 153s linux-headers-6.12.0-16* linux-headers-6.12.0-16-generic* 153s linux-image-6.11.0-8-generic* linux-modules-6.11.0-8-generic* 153s linux-tools-6.11.0-8* linux-tools-6.11.0-8-generic* linux-tools-6.12.0-16* 153s linux-tools-6.12.0-16-generic* 153s 0 upgraded, 0 newly installed, 15 to remove and 5 not upgraded. 153s After this operation, 371 MB disk space will be freed. 153s (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 ... 148643 files and directories currently installed.) 153s Removing libnl-genl-3-200:amd64 (3.7.0-1) ... 153s Removing linux-tools-6.11.0-8-generic (6.11.0-8.8) ... 153s Removing linux-tools-6.11.0-8 (6.11.0-8.8) ... 153s Removing libpython3.12t64:amd64 (3.12.9-1) ... 153s Removing libpython3.12-stdlib:amd64 (3.12.9-1) ... 153s Removing libnsl2:amd64 (1.3.0-3build3) ... 153s Removing libpython3.12-minimal:amd64 (3.12.9-1) ... 154s Removing linux-headers-6.11.0-8-generic (6.11.0-8.8) ... 154s Removing linux-headers-6.11.0-8 (6.11.0-8.8) ... 156s Removing linux-headers-6.12.0-16-generic (6.12.0-16.16) ... 157s Removing linux-headers-6.12.0-16 (6.12.0-16.16) ... 159s Removing linux-image-6.11.0-8-generic (6.11.0-8.8) ... 159s /etc/kernel/postrm.d/initramfs-tools: 159s update-initramfs: Deleting /boot/initrd.img-6.11.0-8-generic 159s /etc/kernel/postrm.d/zz-update-grub: 159s Sourcing file `/etc/default/grub' 159s Sourcing file `/etc/default/grub.d/50-cloudimg-settings.cfg' 159s Sourcing file `/etc/default/grub.d/90-autopkgtest.cfg' 159s Generating grub configuration file ... 159s Found linux image: /boot/vmlinuz-6.14.0-10-generic 159s Found initrd image: /boot/initrd.img-6.14.0-10-generic 160s Found linux image: /boot/vmlinuz-6.12.0-16-generic 160s Found initrd image: /boot/initrd.img-6.12.0-16-generic 160s Warning: os-prober will not be executed to detect other bootable partitions. 160s Systems on them will not be added to the GRUB boot configuration. 160s Check GRUB_DISABLE_OS_PROBER documentation entry. 160s Adding boot menu entry for UEFI Firmware Settings ... 160s done 160s Removing linux-modules-6.11.0-8-generic (6.11.0-8.8) ... 160s Removing linux-tools-6.12.0-16-generic (6.12.0-16.16) ... 160s Removing linux-tools-6.12.0-16 (6.12.0-16.16) ... 160s Processing triggers for libc-bin (2.41-1ubuntu1) ... 160s (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 ... 84830 files and directories currently installed.) 160s Purging configuration files for linux-image-6.11.0-8-generic (6.11.0-8.8) ... 160s Purging configuration files for libpython3.12-minimal:amd64 (3.12.9-1) ... 160s Purging configuration files for linux-modules-6.11.0-8-generic (6.11.0-8.8) ... 160s + grep -q trusty /etc/lsb-release 160s + [ ! -d /usr/share/doc/unattended-upgrades ] 160s + [ ! -d /usr/share/doc/lxd ] 160s + [ ! -d /usr/share/doc/lxd-client ] 160s + [ ! -d /usr/share/doc/snapd ] 160s + type iptables 160s + cat 160s + chmod 755 /etc/rc.local 160s + . /etc/rc.local 160s + iptables -w -t mangle -A FORWARD -p tcp --tcp-flags SYN,RST SYN -j TCPMSS --clamp-mss-to-pmtu 160s + iptables -A OUTPUT -d 10.255.255.1/32 -p tcp -j DROP 160s + iptables -A OUTPUT -d 10.255.255.2/32 -p tcp -j DROP 160s + uname -m 160s + [ x86_64 = ppc64le ] 160s + [ -d /run/systemd/system ] 160s + systemd-detect-virt --quiet --vm 160s + mkdir -p /etc/systemd/system/systemd-random-seed.service.d/ 160s + cat 160s + grep -q lz4 /etc/initramfs-tools/initramfs.conf 160s + echo COMPRESS=lz4 160s autopkgtest [22:29:12]: upgrading testbed (apt dist-upgrade and autopurge) 161s Reading package lists... 161s Building dependency tree... 161s Reading state information... 161s Calculating upgrade...Starting pkgProblemResolver with broken count: 0 161s Starting 2 pkgProblemResolver with broken count: 0 161s Done 162s Entering ResolveByKeep 162s 162s Calculating upgrade... 162s The following packages will be upgraded: 162s libc-bin libc-dev-bin libc6 libc6-dev locales 162s 5 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 162s Need to get 10.5 MB of archives. 162s After this operation, 1024 B of additional disk space will be used. 162s Get:1 http://ftpmaster.internal/ubuntu plucky-proposed/main amd64 libc6-dev amd64 2.41-1ubuntu2 [2183 kB] 163s Get:2 http://ftpmaster.internal/ubuntu plucky-proposed/main amd64 libc-dev-bin amd64 2.41-1ubuntu2 [24.7 kB] 163s Get:3 http://ftpmaster.internal/ubuntu plucky-proposed/main amd64 libc6 amd64 2.41-1ubuntu2 [3327 kB] 163s Get:4 http://ftpmaster.internal/ubuntu plucky-proposed/main amd64 libc-bin amd64 2.41-1ubuntu2 [700 kB] 163s Get:5 http://ftpmaster.internal/ubuntu plucky-proposed/main amd64 locales all 2.41-1ubuntu2 [4246 kB] 163s Preconfiguring packages ... 163s Fetched 10.5 MB in 1s (11.9 MB/s) 163s (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 ... 84827 files and directories currently installed.) 163s Preparing to unpack .../libc6-dev_2.41-1ubuntu2_amd64.deb ... 163s Unpacking libc6-dev:amd64 (2.41-1ubuntu2) over (2.41-1ubuntu1) ... 164s Preparing to unpack .../libc-dev-bin_2.41-1ubuntu2_amd64.deb ... 164s Unpacking libc-dev-bin (2.41-1ubuntu2) over (2.41-1ubuntu1) ... 164s Preparing to unpack .../libc6_2.41-1ubuntu2_amd64.deb ... 164s Unpacking libc6:amd64 (2.41-1ubuntu2) over (2.41-1ubuntu1) ... 164s Setting up libc6:amd64 (2.41-1ubuntu2) ... 164s (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 ... 84827 files and directories currently installed.) 164s Preparing to unpack .../libc-bin_2.41-1ubuntu2_amd64.deb ... 164s Unpacking libc-bin (2.41-1ubuntu2) over (2.41-1ubuntu1) ... 164s Setting up libc-bin (2.41-1ubuntu2) ... 164s (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 ... 84827 files and directories currently installed.) 164s Preparing to unpack .../locales_2.41-1ubuntu2_all.deb ... 164s Unpacking locales (2.41-1ubuntu2) over (2.41-1ubuntu1) ... 165s Setting up locales (2.41-1ubuntu2) ... 165s Generating locales (this might take a while)... 167s en_US.UTF-8... done 167s Generation complete. 167s Setting up libc-dev-bin (2.41-1ubuntu2) ... 167s Setting up libc6-dev:amd64 (2.41-1ubuntu2) ... 167s Processing triggers for man-db (2.13.0-1) ... 167s Processing triggers for systemd (257.3-1ubuntu3) ... 168s Reading package lists... 168s Building dependency tree... 168s Reading state information... 169s Starting pkgProblemResolver with broken count: 0 169s Starting 2 pkgProblemResolver with broken count: 0 169s Done 169s Solving dependencies... 169s 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 169s autopkgtest [22:29:21]: rebooting testbed after setup commands that affected boot 193s autopkgtest [22:29:45]: testbed running kernel: Linux 6.14.0-10-generic #10-Ubuntu SMP PREEMPT_DYNAMIC Wed Mar 12 16:07:00 UTC 2025 195s autopkgtest [22:29:47]: @@@@@@@@@@@@@@@@@@@@ apt-source r-cran-rrcov 197s Get:1 http://ftpmaster.internal/ubuntu plucky/universe r-cran-rrcov 1.7-6-1 (dsc) [2146 B] 197s Get:2 http://ftpmaster.internal/ubuntu plucky/universe r-cran-rrcov 1.7-6-1 (tar) [1542 kB] 197s Get:3 http://ftpmaster.internal/ubuntu plucky/universe r-cran-rrcov 1.7-6-1 (diff) [3160 B] 198s gpgv: Signature made Fri Sep 6 03:10:50 2024 UTC 198s gpgv: using RSA key 73471499CC60ED9EEE805946C5BD6C8F2295D502 198s gpgv: issuer "plessy@debian.org" 198s gpgv: Can't check signature: No public key 198s dpkg-source: warning: cannot verify inline signature for ./r-cran-rrcov_1.7-6-1.dsc: no acceptable signature found 198s autopkgtest [22:29:50]: testing package r-cran-rrcov version 1.7-6-1 198s autopkgtest [22:29:50]: build not needed 201s autopkgtest [22:29:53]: test run-unit-test: preparing testbed 201s Reading package lists... 202s Building dependency tree... 202s Reading state information... 202s Starting pkgProblemResolver with broken count: 0 202s Starting 2 pkgProblemResolver with broken count: 0 202s Done 202s The following NEW packages will be installed: 202s fontconfig fontconfig-config fonts-dejavu-core fonts-dejavu-mono libblas3 202s libcairo2 libdatrie1 libdeflate0 libfontconfig1 libgfortran5 libgomp1 202s libgraphite2-3 libharfbuzz0b libice6 libjbig0 libjpeg-turbo8 libjpeg8 202s liblapack3 liblerc4 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 202s libpaper-utils libpaper2 libpixman-1-0 libsharpyuv0 libsm6 libtcl8.6 202s libthai-data libthai0 libtiff6 libtk8.6 libwebp7 libxcb-render0 libxcb-shm0 202s libxft2 libxrender1 libxss1 libxt6t64 r-base-core r-cran-deoptimr 202s r-cran-lattice r-cran-mass r-cran-mvtnorm r-cran-pcapp r-cran-robustbase 202s r-cran-rrcov unzip x11-common xdg-utils zip 202s 0 upgraded, 51 newly installed, 0 to remove and 0 not upgraded. 202s Need to get 50.5 MB of archives. 202s After this operation, 97.1 MB of additional disk space will be used. 202s Get:1 http://ftpmaster.internal/ubuntu plucky/main amd64 fonts-dejavu-mono all 2.37-8 [502 kB] 203s Get:2 http://ftpmaster.internal/ubuntu plucky/main amd64 fonts-dejavu-core all 2.37-8 [835 kB] 203s Get:3 http://ftpmaster.internal/ubuntu plucky/main amd64 fontconfig-config amd64 2.15.0-2ubuntu1 [37.4 kB] 203s Get:4 http://ftpmaster.internal/ubuntu plucky/main amd64 libfontconfig1 amd64 2.15.0-2ubuntu1 [164 kB] 203s Get:5 http://ftpmaster.internal/ubuntu plucky/main amd64 fontconfig amd64 2.15.0-2ubuntu1 [180 kB] 203s Get:6 http://ftpmaster.internal/ubuntu plucky/main amd64 libblas3 amd64 3.12.1-2 [359 kB] 203s Get:7 http://ftpmaster.internal/ubuntu plucky/main amd64 libpixman-1-0 amd64 0.44.0-3 [427 kB] 203s Get:8 http://ftpmaster.internal/ubuntu plucky/main amd64 libxcb-render0 amd64 1.17.0-2 [16.2 kB] 203s Get:9 http://ftpmaster.internal/ubuntu plucky/main amd64 libxcb-shm0 amd64 1.17.0-2 [5758 B] 203s Get:10 http://ftpmaster.internal/ubuntu plucky/main amd64 libxrender1 amd64 1:0.9.10-1.1build1 [19.0 kB] 203s Get:11 http://ftpmaster.internal/ubuntu plucky/main amd64 libcairo2 amd64 1.18.2-2 [569 kB] 203s Get:12 http://ftpmaster.internal/ubuntu plucky/main amd64 libdatrie1 amd64 0.2.13-3build1 [19.0 kB] 203s Get:13 http://ftpmaster.internal/ubuntu plucky/main amd64 libdeflate0 amd64 1.23-1 [64.1 kB] 203s Get:14 http://ftpmaster.internal/ubuntu plucky/main amd64 libgfortran5 amd64 15-20250222-0ubuntu1 [919 kB] 203s Get:15 http://ftpmaster.internal/ubuntu plucky/main amd64 libgomp1 amd64 15-20250222-0ubuntu1 [148 kB] 203s Get:16 http://ftpmaster.internal/ubuntu plucky/main amd64 libgraphite2-3 amd64 1.3.14-2ubuntu1 [73.1 kB] 203s Get:17 http://ftpmaster.internal/ubuntu plucky/main amd64 libharfbuzz0b amd64 10.2.0-1 [543 kB] 203s Get:18 http://ftpmaster.internal/ubuntu plucky/main amd64 x11-common all 1:7.7+23ubuntu3 [21.7 kB] 203s Get:19 http://ftpmaster.internal/ubuntu plucky/main amd64 libice6 amd64 2:1.1.1-1 [44.1 kB] 203s Get:20 http://ftpmaster.internal/ubuntu plucky/main amd64 libjpeg-turbo8 amd64 2.1.5-3ubuntu2 [179 kB] 203s Get:21 http://ftpmaster.internal/ubuntu plucky/main amd64 libjpeg8 amd64 8c-2ubuntu11 [2148 B] 203s Get:22 http://ftpmaster.internal/ubuntu plucky/main amd64 liblapack3 amd64 3.12.1-2 [3179 kB] 203s Get:23 http://ftpmaster.internal/ubuntu plucky/main amd64 liblerc4 amd64 4.0.0+ds-5ubuntu1 [271 kB] 203s Get:24 http://ftpmaster.internal/ubuntu plucky/main amd64 libthai-data all 0.1.29-2build1 [158 kB] 203s Get:25 http://ftpmaster.internal/ubuntu plucky/main amd64 libthai0 amd64 0.1.29-2build1 [18.9 kB] 203s Get:26 http://ftpmaster.internal/ubuntu plucky/main amd64 libpango-1.0-0 amd64 1.56.2-1 [255 kB] 203s Get:27 http://ftpmaster.internal/ubuntu plucky/main amd64 libpangoft2-1.0-0 amd64 1.56.2-1 [52.6 kB] 203s Get:28 http://ftpmaster.internal/ubuntu plucky/main amd64 libpangocairo-1.0-0 amd64 1.56.2-1 [29.1 kB] 203s Get:29 http://ftpmaster.internal/ubuntu plucky/main amd64 libpaper2 amd64 2.2.5-0.3 [17.4 kB] 203s Get:30 http://ftpmaster.internal/ubuntu plucky/main amd64 libpaper-utils amd64 2.2.5-0.3 [15.5 kB] 203s Get:31 http://ftpmaster.internal/ubuntu plucky/main amd64 libsharpyuv0 amd64 1.5.0-0.1 [25.9 kB] 203s Get:32 http://ftpmaster.internal/ubuntu plucky/main amd64 libsm6 amd64 2:1.2.4-1 [17.4 kB] 203s Get:33 http://ftpmaster.internal/ubuntu plucky/main amd64 libtcl8.6 amd64 8.6.16+dfsg-1 [1086 kB] 203s Get:34 http://ftpmaster.internal/ubuntu plucky/main amd64 libjbig0 amd64 2.1-6.1ubuntu2 [29.7 kB] 203s Get:35 http://ftpmaster.internal/ubuntu plucky/main amd64 libwebp7 amd64 1.5.0-0.1 [378 kB] 203s Get:36 http://ftpmaster.internal/ubuntu plucky/main amd64 libtiff6 amd64 4.5.1+git230720-4ubuntu4 [200 kB] 203s Get:37 http://ftpmaster.internal/ubuntu plucky/main amd64 libxft2 amd64 2.3.6-1build1 [45.3 kB] 203s Get:38 http://ftpmaster.internal/ubuntu plucky/main amd64 libxss1 amd64 1:1.2.3-1build3 [7204 B] 203s Get:39 http://ftpmaster.internal/ubuntu plucky/main amd64 libtk8.6 amd64 8.6.16-1 [868 kB] 203s Get:40 http://ftpmaster.internal/ubuntu plucky/main amd64 libxt6t64 amd64 1:1.2.1-1.2build1 [171 kB] 203s Get:41 http://ftpmaster.internal/ubuntu plucky/main amd64 zip amd64 3.0-14ubuntu2 [185 kB] 204s Get:42 http://ftpmaster.internal/ubuntu plucky/main amd64 unzip amd64 6.0-28ubuntu6 [181 kB] 204s Get:43 http://ftpmaster.internal/ubuntu plucky/main amd64 xdg-utils all 1.2.1-2ubuntu1 [66.0 kB] 204s Get:44 http://ftpmaster.internal/ubuntu plucky/universe amd64 r-base-core amd64 4.4.3-1 [28.9 MB] 205s Get:45 http://ftpmaster.internal/ubuntu plucky/universe amd64 r-cran-deoptimr all 1.1-3-1-1 [76.6 kB] 205s Get:46 http://ftpmaster.internal/ubuntu plucky/universe amd64 r-cran-lattice amd64 0.22-6-1 [1340 kB] 205s Get:47 http://ftpmaster.internal/ubuntu plucky/universe amd64 r-cran-mass amd64 7.3-64-1 [1114 kB] 205s Get:48 http://ftpmaster.internal/ubuntu plucky/universe amd64 r-cran-mvtnorm amd64 1.3-3-1 [923 kB] 205s Get:49 http://ftpmaster.internal/ubuntu plucky/universe amd64 r-cran-pcapp amd64 2.0-5-1 [368 kB] 205s Get:50 http://ftpmaster.internal/ubuntu plucky/universe amd64 r-cran-robustbase amd64 0.99-4-1-1 [3038 kB] 205s Get:51 http://ftpmaster.internal/ubuntu plucky/universe amd64 r-cran-rrcov amd64 1.7-6-1 [2407 kB] 205s Preconfiguring packages ... 206s Fetched 50.5 MB in 3s (17.6 MB/s) 206s Selecting previously unselected package fonts-dejavu-mono. 206s (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 ... 84827 files and directories currently installed.) 206s Preparing to unpack .../00-fonts-dejavu-mono_2.37-8_all.deb ... 206s Unpacking fonts-dejavu-mono (2.37-8) ... 206s Selecting previously unselected package fonts-dejavu-core. 206s Preparing to unpack .../01-fonts-dejavu-core_2.37-8_all.deb ... 206s Unpacking fonts-dejavu-core (2.37-8) ... 206s Selecting previously unselected package fontconfig-config. 206s Preparing to unpack .../02-fontconfig-config_2.15.0-2ubuntu1_amd64.deb ... 206s Unpacking fontconfig-config (2.15.0-2ubuntu1) ... 206s Selecting previously unselected package libfontconfig1:amd64. 206s Preparing to unpack .../03-libfontconfig1_2.15.0-2ubuntu1_amd64.deb ... 206s Unpacking libfontconfig1:amd64 (2.15.0-2ubuntu1) ... 206s Selecting previously unselected package fontconfig. 206s Preparing to unpack .../04-fontconfig_2.15.0-2ubuntu1_amd64.deb ... 206s Unpacking fontconfig (2.15.0-2ubuntu1) ... 206s Selecting previously unselected package libblas3:amd64. 206s Preparing to unpack .../05-libblas3_3.12.1-2_amd64.deb ... 206s Unpacking libblas3:amd64 (3.12.1-2) ... 206s Selecting previously unselected package libpixman-1-0:amd64. 206s Preparing to unpack .../06-libpixman-1-0_0.44.0-3_amd64.deb ... 206s Unpacking libpixman-1-0:amd64 (0.44.0-3) ... 206s Selecting previously unselected package libxcb-render0:amd64. 206s Preparing to unpack .../07-libxcb-render0_1.17.0-2_amd64.deb ... 206s Unpacking libxcb-render0:amd64 (1.17.0-2) ... 206s Selecting previously unselected package libxcb-shm0:amd64. 206s Preparing to unpack .../08-libxcb-shm0_1.17.0-2_amd64.deb ... 206s Unpacking libxcb-shm0:amd64 (1.17.0-2) ... 206s Selecting previously unselected package libxrender1:amd64. 206s Preparing to unpack .../09-libxrender1_1%3a0.9.10-1.1build1_amd64.deb ... 206s Unpacking libxrender1:amd64 (1:0.9.10-1.1build1) ... 206s Selecting previously unselected package libcairo2:amd64. 206s Preparing to unpack .../10-libcairo2_1.18.2-2_amd64.deb ... 206s Unpacking libcairo2:amd64 (1.18.2-2) ... 206s Selecting previously unselected package libdatrie1:amd64. 206s Preparing to unpack .../11-libdatrie1_0.2.13-3build1_amd64.deb ... 206s Unpacking libdatrie1:amd64 (0.2.13-3build1) ... 206s Selecting previously unselected package libdeflate0:amd64. 207s Preparing to unpack .../12-libdeflate0_1.23-1_amd64.deb ... 207s Unpacking libdeflate0:amd64 (1.23-1) ... 207s Selecting previously unselected package libgfortran5:amd64. 207s Preparing to unpack .../13-libgfortran5_15-20250222-0ubuntu1_amd64.deb ... 207s Unpacking libgfortran5:amd64 (15-20250222-0ubuntu1) ... 207s Selecting previously unselected package libgomp1:amd64. 207s Preparing to unpack .../14-libgomp1_15-20250222-0ubuntu1_amd64.deb ... 207s Unpacking libgomp1:amd64 (15-20250222-0ubuntu1) ... 207s Selecting previously unselected package libgraphite2-3:amd64. 207s Preparing to unpack .../15-libgraphite2-3_1.3.14-2ubuntu1_amd64.deb ... 207s Unpacking libgraphite2-3:amd64 (1.3.14-2ubuntu1) ... 207s Selecting previously unselected package libharfbuzz0b:amd64. 207s Preparing to unpack .../16-libharfbuzz0b_10.2.0-1_amd64.deb ... 207s Unpacking libharfbuzz0b:amd64 (10.2.0-1) ... 207s Selecting previously unselected package x11-common. 207s Preparing to unpack .../17-x11-common_1%3a7.7+23ubuntu3_all.deb ... 207s Unpacking x11-common (1:7.7+23ubuntu3) ... 207s Selecting previously unselected package libice6:amd64. 207s Preparing to unpack .../18-libice6_2%3a1.1.1-1_amd64.deb ... 207s Unpacking libice6:amd64 (2:1.1.1-1) ... 207s Selecting previously unselected package libjpeg-turbo8:amd64. 207s Preparing to unpack .../19-libjpeg-turbo8_2.1.5-3ubuntu2_amd64.deb ... 207s Unpacking libjpeg-turbo8:amd64 (2.1.5-3ubuntu2) ... 207s Selecting previously unselected package libjpeg8:amd64. 207s Preparing to unpack .../20-libjpeg8_8c-2ubuntu11_amd64.deb ... 207s Unpacking libjpeg8:amd64 (8c-2ubuntu11) ... 207s Selecting previously unselected package liblapack3:amd64. 207s Preparing to unpack .../21-liblapack3_3.12.1-2_amd64.deb ... 207s Unpacking liblapack3:amd64 (3.12.1-2) ... 207s Selecting previously unselected package liblerc4:amd64. 207s Preparing to unpack .../22-liblerc4_4.0.0+ds-5ubuntu1_amd64.deb ... 207s Unpacking liblerc4:amd64 (4.0.0+ds-5ubuntu1) ... 207s Selecting previously unselected package libthai-data. 207s Preparing to unpack .../23-libthai-data_0.1.29-2build1_all.deb ... 207s Unpacking libthai-data (0.1.29-2build1) ... 207s Selecting previously unselected package libthai0:amd64. 207s Preparing to unpack .../24-libthai0_0.1.29-2build1_amd64.deb ... 207s Unpacking libthai0:amd64 (0.1.29-2build1) ... 207s Selecting previously unselected package libpango-1.0-0:amd64. 207s Preparing to unpack .../25-libpango-1.0-0_1.56.2-1_amd64.deb ... 207s Unpacking libpango-1.0-0:amd64 (1.56.2-1) ... 207s Selecting previously unselected package libpangoft2-1.0-0:amd64. 207s Preparing to unpack .../26-libpangoft2-1.0-0_1.56.2-1_amd64.deb ... 207s Unpacking libpangoft2-1.0-0:amd64 (1.56.2-1) ... 207s Selecting previously unselected package libpangocairo-1.0-0:amd64. 207s Preparing to unpack .../27-libpangocairo-1.0-0_1.56.2-1_amd64.deb ... 207s Unpacking libpangocairo-1.0-0:amd64 (1.56.2-1) ... 207s Selecting previously unselected package libpaper2:amd64. 207s Preparing to unpack .../28-libpaper2_2.2.5-0.3_amd64.deb ... 207s Unpacking libpaper2:amd64 (2.2.5-0.3) ... 207s Selecting previously unselected package libpaper-utils. 207s Preparing to unpack .../29-libpaper-utils_2.2.5-0.3_amd64.deb ... 207s Unpacking libpaper-utils (2.2.5-0.3) ... 207s Selecting previously unselected package libsharpyuv0:amd64. 207s Preparing to unpack .../30-libsharpyuv0_1.5.0-0.1_amd64.deb ... 207s Unpacking libsharpyuv0:amd64 (1.5.0-0.1) ... 207s Selecting previously unselected package libsm6:amd64. 207s Preparing to unpack .../31-libsm6_2%3a1.2.4-1_amd64.deb ... 207s Unpacking libsm6:amd64 (2:1.2.4-1) ... 207s Selecting previously unselected package libtcl8.6:amd64. 207s Preparing to unpack .../32-libtcl8.6_8.6.16+dfsg-1_amd64.deb ... 207s Unpacking libtcl8.6:amd64 (8.6.16+dfsg-1) ... 207s Selecting previously unselected package libjbig0:amd64. 207s Preparing to unpack .../33-libjbig0_2.1-6.1ubuntu2_amd64.deb ... 207s Unpacking libjbig0:amd64 (2.1-6.1ubuntu2) ... 207s Selecting previously unselected package libwebp7:amd64. 207s Preparing to unpack .../34-libwebp7_1.5.0-0.1_amd64.deb ... 207s Unpacking libwebp7:amd64 (1.5.0-0.1) ... 207s Selecting previously unselected package libtiff6:amd64. 207s Preparing to unpack .../35-libtiff6_4.5.1+git230720-4ubuntu4_amd64.deb ... 207s Unpacking libtiff6:amd64 (4.5.1+git230720-4ubuntu4) ... 207s Selecting previously unselected package libxft2:amd64. 207s Preparing to unpack .../36-libxft2_2.3.6-1build1_amd64.deb ... 207s Unpacking libxft2:amd64 (2.3.6-1build1) ... 207s Selecting previously unselected package libxss1:amd64. 207s Preparing to unpack .../37-libxss1_1%3a1.2.3-1build3_amd64.deb ... 207s Unpacking libxss1:amd64 (1:1.2.3-1build3) ... 207s Selecting previously unselected package libtk8.6:amd64. 207s Preparing to unpack .../38-libtk8.6_8.6.16-1_amd64.deb ... 207s Unpacking libtk8.6:amd64 (8.6.16-1) ... 207s Selecting previously unselected package libxt6t64:amd64. 207s Preparing to unpack .../39-libxt6t64_1%3a1.2.1-1.2build1_amd64.deb ... 207s Unpacking libxt6t64:amd64 (1:1.2.1-1.2build1) ... 207s Selecting previously unselected package zip. 207s Preparing to unpack .../40-zip_3.0-14ubuntu2_amd64.deb ... 207s Unpacking zip (3.0-14ubuntu2) ... 207s Selecting previously unselected package unzip. 207s Preparing to unpack .../41-unzip_6.0-28ubuntu6_amd64.deb ... 207s Unpacking unzip (6.0-28ubuntu6) ... 207s Selecting previously unselected package xdg-utils. 207s Preparing to unpack .../42-xdg-utils_1.2.1-2ubuntu1_all.deb ... 207s Unpacking xdg-utils (1.2.1-2ubuntu1) ... 208s Selecting previously unselected package r-base-core. 208s Preparing to unpack .../43-r-base-core_4.4.3-1_amd64.deb ... 208s Unpacking r-base-core (4.4.3-1) ... 208s Selecting previously unselected package r-cran-deoptimr. 208s Preparing to unpack .../44-r-cran-deoptimr_1.1-3-1-1_all.deb ... 208s Unpacking r-cran-deoptimr (1.1-3-1-1) ... 208s Selecting previously unselected package r-cran-lattice. 208s Preparing to unpack .../45-r-cran-lattice_0.22-6-1_amd64.deb ... 208s Unpacking r-cran-lattice (0.22-6-1) ... 208s Selecting previously unselected package r-cran-mass. 208s Preparing to unpack .../46-r-cran-mass_7.3-64-1_amd64.deb ... 208s Unpacking r-cran-mass (7.3-64-1) ... 208s Selecting previously unselected package r-cran-mvtnorm. 208s Preparing to unpack .../47-r-cran-mvtnorm_1.3-3-1_amd64.deb ... 208s Unpacking r-cran-mvtnorm (1.3-3-1) ... 208s Selecting previously unselected package r-cran-pcapp. 208s Preparing to unpack .../48-r-cran-pcapp_2.0-5-1_amd64.deb ... 208s Unpacking r-cran-pcapp (2.0-5-1) ... 208s Selecting previously unselected package r-cran-robustbase. 208s Preparing to unpack .../49-r-cran-robustbase_0.99-4-1-1_amd64.deb ... 208s Unpacking r-cran-robustbase (0.99-4-1-1) ... 208s Selecting previously unselected package r-cran-rrcov. 208s Preparing to unpack .../50-r-cran-rrcov_1.7-6-1_amd64.deb ... 208s Unpacking r-cran-rrcov (1.7-6-1) ... 208s Setting up libgraphite2-3:amd64 (1.3.14-2ubuntu1) ... 208s Setting up libpixman-1-0:amd64 (0.44.0-3) ... 208s Setting up libsharpyuv0:amd64 (1.5.0-0.1) ... 208s Setting up liblerc4:amd64 (4.0.0+ds-5ubuntu1) ... 208s Setting up libxrender1:amd64 (1:0.9.10-1.1build1) ... 208s Setting up libdatrie1:amd64 (0.2.13-3build1) ... 208s Setting up libxcb-render0:amd64 (1.17.0-2) ... 208s Setting up unzip (6.0-28ubuntu6) ... 208s Setting up x11-common (1:7.7+23ubuntu3) ... 209s Setting up libdeflate0:amd64 (1.23-1) ... 209s Setting up libxcb-shm0:amd64 (1.17.0-2) ... 209s Setting up libgomp1:amd64 (15-20250222-0ubuntu1) ... 209s Setting up libjbig0:amd64 (2.1-6.1ubuntu2) ... 209s Setting up zip (3.0-14ubuntu2) ... 209s Setting up libblas3:amd64 (3.12.1-2) ... 209s update-alternatives: using /usr/lib/x86_64-linux-gnu/blas/libblas.so.3 to provide /usr/lib/x86_64-linux-gnu/libblas.so.3 (libblas.so.3-x86_64-linux-gnu) in auto mode 209s Setting up fonts-dejavu-mono (2.37-8) ... 209s Setting up libtcl8.6:amd64 (8.6.16+dfsg-1) ... 209s Setting up fonts-dejavu-core (2.37-8) ... 209s Setting up libjpeg-turbo8:amd64 (2.1.5-3ubuntu2) ... 209s Setting up libgfortran5:amd64 (15-20250222-0ubuntu1) ... 209s Setting up libwebp7:amd64 (1.5.0-0.1) ... 209s Setting up libharfbuzz0b:amd64 (10.2.0-1) ... 209s Setting up libthai-data (0.1.29-2build1) ... 209s Setting up libxss1:amd64 (1:1.2.3-1build3) ... 209s Setting up libpaper2:amd64 (2.2.5-0.3) ... 209s Setting up xdg-utils (1.2.1-2ubuntu1) ... 209s update-alternatives: using /usr/bin/xdg-open to provide /usr/bin/open (open) in auto mode 209s Setting up libjpeg8:amd64 (8c-2ubuntu11) ... 209s Setting up libice6:amd64 (2:1.1.1-1) ... 209s Setting up liblapack3:amd64 (3.12.1-2) ... 209s update-alternatives: using /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/x86_64-linux-gnu/liblapack.so.3 (liblapack.so.3-x86_64-linux-gnu) in auto mode 209s Setting up fontconfig-config (2.15.0-2ubuntu1) ... 209s Setting up libpaper-utils (2.2.5-0.3) ... 209s Setting up libthai0:amd64 (0.1.29-2build1) ... 209s Setting up libtiff6:amd64 (4.5.1+git230720-4ubuntu4) ... 209s Setting 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(2.41-1ubuntu2) ... 211s Processing triggers for man-db (2.13.0-1) ... 212s Processing triggers for install-info (7.1.1-1) ... 214s autopkgtest [22:30:06]: test run-unit-test: [----------------------- 215s BEGIN TEST thubert.R 215s 215s R version 4.4.3 (2025-02-28) -- "Trophy Case" 215s Copyright (C) 2025 The R Foundation for Statistical Computing 215s Platform: x86_64-pc-linux-gnu 215s 215s R is free software and comes with ABSOLUTELY NO WARRANTY. 215s You are welcome to redistribute it under certain conditions. 215s Type 'license()' or 'licence()' for distribution details. 215s 215s R is a collaborative project with many contributors. 215s Type 'contributors()' for more information and 215s 'citation()' on how to cite R or R packages in publications. 215s 215s Type 'demo()' for some demos, 'help()' for on-line help, or 215s 'help.start()' for an HTML browser interface to help. 215s Type 'q()' to quit R. 215s 215s > dodata <- function(nrep=1, time=FALSE, short=FALSE, full=TRUE, 215s + method=c("hubert", "hubert.mcd", "locantore", "cov", "classic", 215s + "grid", "proj")) 215s + { 215s + ## Test the PcaXxx() functions on the literature datasets: 215s + ## 215s + ## Call PcaHubert() and the other functions for all regression 215s + ## data sets available in robustbase/rrcov and print: 215s + ## - execution time (if time == TRUE) 215s + ## - loadings 215s + ## - eigenvalues 215s + ## - scores 215s + ## 215s + 215s + dopca <- function(x, xname, nrep=1){ 215s + 215s + n <- dim(x)[1] 215s + p <- dim(x)[2] 215s + if(method == "hubert.mcd") 215s + pca <- PcaHubert(x, k=p) 215s + else if(method == "hubert") 215s + pca <- PcaHubert(x, mcd=FALSE) 215s + else if(method == "locantore") 215s + pca <- PcaLocantore(x) 215s + else if(method == "cov") 215s + pca <- PcaCov(x) 215s + else if(method == "classic") 215s + pca <- PcaClassic(x) 215s + else if(method == "grid") 215s + pca <- PcaGrid(x) 215s + else if(method == "proj") 215s + pca <- PcaProj(x) 215s + else 215s + stop("Undefined PCA method: ", method) 215s + 215s + 215s + e1 <- getEigenvalues(pca)[1] 215s + e2 <- getEigenvalues(pca)[2] 215s + k <- pca@k 215s + 215s + if(time){ 215s + xtime <- system.time(dorep(x, nrep, method))[1]/nrep 215s + xres <- sprintf("%3d %3d %3d %12.6f %12.6f %10.3f\n", dim(x)[1], dim(x)[2], k, e1, e2, xtime) 215s + } 215s + else{ 215s + xres <- sprintf("%3d %3d %3d %12.6f %12.6f\n", dim(x)[1], dim(x)[2], k, e1, e2) 215s + } 215s + lpad<-lname-nchar(xname) 215s + cat(pad.right(xname, lpad), xres) 215s + 215s + if(!short){ 215s + cat("Scores: \n") 215s + print(getScores(pca)) 215s + 215s + if(full){ 215s + cat("-------------\n") 215s + show(pca) 215s + } 215s + cat("----------------------------------------------------------\n") 215s + } 215s + } 215s + 215s + stopifnot(length(nrep) == 1, nrep >= 1) 215s + method <- match.arg(method) 215s + 215s + options(digits = 5) 215s + set.seed(101) # <<-- sub-sampling algorithm now based on R's RNG and seed 215s + 215s + lname <- 20 215s + 215s + ## VT::15.09.2013 - this will render the output independent 215s + ## from the version of the package 215s + suppressPackageStartupMessages(library(rrcov)) 215s + 215s + data(Animals, package = "MASS") 215s + brain <- Animals[c(1:24, 26:25, 27:28),] 215s + 215s + tmp <- sys.call() 215s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 215s + 215s + cat("Data Set n p k e1 e2\n") 215s + cat("==========================================================\n") 215s + dopca(heart[, 1:2], data(heart), nrep) 215s + dopca(starsCYG, data(starsCYG), nrep) 215s + dopca(data.matrix(subset(phosphor, select = -plant)), data(phosphor), nrep) 215s + dopca(stack.x, data(stackloss), nrep) 215s + ## dopca(data.matrix(subset(coleman, select = -Y)), data(coleman), nrep) # differences between the architectures 215s + dopca(data.matrix(subset(salinity, select = -Y)), data(salinity), nrep) 215s + ## dopca(data.matrix(subset(wood, select = -y)), data(wood), nrep) # differences between the architectures 215s + dopca(data.matrix(subset(hbk, select = -Y)),data(hbk), nrep) 215s + 215s + ## dopca(brain, "Animals", nrep) 215s + dopca(milk, data(milk), nrep) 215s + dopca(bushfire, data(bushfire), nrep) 215s + cat("==========================================================\n") 215s + } 215s > 215s > dogen <- function(nrep=1, eps=0.49, method=c("hubert", "hubert.mcd", "locantore", "cov")){ 215s + 215s + dopca <- function(x, nrep=1){ 215s + gc() 215s + xtime <- system.time(dorep(x, nrep, method))[1]/nrep 215s + cat(sprintf("%6d %3d %10.2f\n", dim(x)[1], dim(x)[2], xtime)) 215s + xtime 215s + } 215s + 215s + set.seed(1234) 215s + 215s + ## VT::15.09.2013 - this will render the output independent 215s + ## from the version of the package 215s + suppressPackageStartupMessages(library(rrcov)) 215s + library(MASS) 215s + 215s + method <- match.arg(method) 215s + 215s + ap <- c(2, 5, 10, 20, 30) 215s + an <- c(100, 500, 1000, 10000, 50000) 215s + 215s + tottime <- 0 215s + cat(" n p Time\n") 215s + cat("=====================\n") 215s + for(i in 1:length(an)) { 215s + for(j in 1:length(ap)) { 215s + n <- an[i] 215s + p <- ap[j] 215s + if(5*p <= n){ 215s + xx <- gendata(n, p, eps) 215s + X <- xx$X 215s + ## print(dimnames(X)) 215s + tottime <- tottime + dopca(X, nrep) 215s + } 215s + } 215s + } 215s + 215s + cat("=====================\n") 215s + cat("Total time: ", tottime*nrep, "\n") 215s + } 215s > 215s > dorep <- function(x, nrep=1, method=c("hubert", "hubert.mcd", "locantore", "cov")){ 215s + 215s + method <- match.arg(method) 215s + for(i in 1:nrep) 215s + if(method == "hubert.mcd") 215s + PcaHubert(x) 215s + else if(method == "hubert") 215s + PcaHubert(x, mcd=FALSE) 215s + else if(method == "locantore") 215s + PcaLocantore(x) 215s + else if(method == "cov") 215s + PcaCov(x) 215s + else 215s + stop("Undefined PCA method: ", method) 215s + } 215s > 215s > #### gendata() #### 215s > # Generates a location contaminated multivariate 215s > # normal sample of n observations in p dimensions 215s > # (1-eps)*Np(0,Ip) + eps*Np(m,Ip) 215s > # where 215s > # m = (b,b,...,b) 215s > # Defaults: eps=0 and b=10 215s > # 215s > gendata <- function(n,p,eps=0,b=10){ 215s + 215s + if(missing(n) || missing(p)) 215s + stop("Please specify (n,p)") 215s + if(eps < 0 || eps >= 0.5) 215s + stop(message="eps must be in [0,0.5)") 215s + X <- mvrnorm(n,rep(0,p),diag(1,nrow=p,ncol=p)) 215s + nbad <- as.integer(eps * n) 215s + xind <- vector("numeric") 215s + if(nbad > 0){ 215s + Xbad <- mvrnorm(nbad,rep(b,p),diag(1,nrow=p,ncol=p)) 215s + xind <- sample(n,nbad) 215s + X[xind,] <- Xbad 215s + } 215s + list(X=X, xind=xind) 215s + } 215s > 215s > pad.right <- function(z, pads) 215s + { 215s + ### Pads spaces to right of text 215s + padding <- paste(rep(" ", pads), collapse = "") 215s + paste(z, padding, sep = "") 215s + } 215s > 215s > whatis <- function(x){ 215s + if(is.data.frame(x)) 215s + cat("Type: data.frame\n") 215s + else if(is.matrix(x)) 215s + cat("Type: matrix\n") 215s + else if(is.vector(x)) 215s + cat("Type: vector\n") 215s + else 215s + cat("Type: don't know\n") 215s + } 215s > 215s > ################################################################# 215s > ## VT::27.08.2010 215s > ## bug report from Stephen Milborrow 215s > ## 215s > test.case.1 <- function() 215s + { 215s + X <- matrix(c( 215s + -0.79984, -1.00103, 0.899794, 0.00000, 215s + 0.34279, 0.52832, -1.303783, -1.17670, 215s + -0.79984, -1.00103, 0.899794, 0.00000, 215s + 0.34279, 0.52832, -1.303783, -1.17670, 215s + 0.34279, 0.52832, -1.303783, -1.17670, 215s + 1.48542, 0.66735, 0.716162, 1.17670, 215s + -0.79984, -1.00103, 0.899794, 0.00000, 215s + 1.69317, 1.91864, -0.018363, 1.76505, 215s + -1.00759, -0.16684, -0.385626, 0.58835, 215s + -0.79984, -1.00103, 0.899794, 0.00000), ncol=4, byrow=TRUE) 215s + 215s + cc1 <- PcaHubert(X, k=3) 215s + 215s + cc2 <- PcaLocantore(X, k=3) 215s + cc3 <- PcaCov(X, k=3, cov.control=CovControlSest()) 215s + 215s + cc4 <- PcaProj(X, k=2) # with k=3 will produce warnings in .distances - too small eignevalues 215s + cc5 <- PcaGrid(X, k=2) # dito 215s + 215s + list(cc1, cc2, cc3, cc4, cc5) 215s + } 215s > 215s > ################################################################# 215s > ## VT::05.08.2016 215s > ## bug report from Matthieu Lesnoff 215s > ## 215s > test.case.2 <- function() 215s + { 215s + do.test.case.2 <- function(z) 215s + { 215s + if(missing(z)) 215s + { 215s + set.seed(12345678) 215s + n <- 5 215s + z <- data.frame(v1 = rnorm(n), v2 = rnorm(n), v3 = rnorm(n)) 215s + z 215s + } 215s + 215s + fm <- PcaLocantore(z, k = 2, scale = TRUE) 215s + fm@scale 215s + apply(z, MARGIN = 2, FUN = mad) 215s + scale(z, center = fm@center, scale = fm@scale) 215s + 215s + T <- fm@scores 215s + P <- fm@loadings 215s + E <- scale(z, center = fm@center, scale = fm@scale) - T %*% t(P) 215s + d2 <- apply(E^2, MARGIN = 1, FUN = sum) 215s + ## print(sqrt(d2)); print(fm@od) 215s + print(ret <- all.equal(sqrt(d2), fm@od)) 215s + 215s + ret 215s + } 215s + do.test.case.2() 215s + do.test.case.2(phosphor) 215s + do.test.case.2(stackloss) 215s + do.test.case.2(salinity) 215s + do.test.case.2(hbk) 215s + do.test.case.2(milk) 215s + do.test.case.2(bushfire) 215s + data(rice); do.test.case.2(rice) 215s + data(un86); do.test.case.2(un86) 215s + } 215s > 215s > ## VT::15.09.2013 - this will render the output independent 215s > ## from the version of the package 215s > suppressPackageStartupMessages(library(rrcov)) 215s > 215s > dodata(method="classic") 215s 215s Call: dodata(method = "classic") 215s Data Set n p k e1 e2 215s ========================================================== 215s heart 12 2 2 812.379735 9.084962 215s Scores: 215s PC1 PC2 215s 1 2.7072 1.46576 215s 2 59.9990 -1.43041 215s 3 -3.5619 -1.54067 215s 4 -7.7696 2.52687 215s 5 14.7660 -0.95822 215s 6 -20.0489 6.91079 215s 7 1.4189 2.25961 215s 8 -34.3308 -4.23717 215s 9 -6.0487 -0.97859 215s 10 -33.0102 -3.73143 215s 11 -18.6372 0.25821 215s 12 44.5163 -0.54476 215s ------------- 215s Call: 215s PcaClassic(x = x) 215s 215s Standard deviations: 215s [1] 28.5023 3.0141 215s ---------------------------------------------------------- 215s starsCYG 47 2 2 0.331279 0.079625 215s Scores: 215s PC1 PC2 215s 1 0.2072999 0.089973 215s 2 0.6855999 0.349644 215s 3 -0.0743007 -0.061028 215s 4 0.6855999 0.349644 215s 5 0.1775161 0.015053 215s 6 0.4223986 0.211351 215s 7 -0.2926077 -0.516156 215s 8 0.2188453 0.293607 215s 9 0.5593696 0.028761 215s 10 0.0983878 0.074540 215s 11 0.8258140 -0.711176 215s 12 0.4167063 0.180244 215s 13 0.3799883 0.225541 215s 14 -0.9105236 -0.432014 215s 15 -0.7418831 -0.125322 215s 16 -0.4432862 0.048287 215s 17 -1.0503005 -0.229623 215s 18 -0.8393302 -0.007831 215s 19 -0.8126742 -0.195952 215s 20 0.9842316 -0.688729 215s 21 -0.6230699 -0.108486 215s 22 -0.7814875 -0.130933 215s 23 -0.6017038 0.025840 215s 24 -0.1857772 0.155474 215s 25 -0.0020261 0.070412 215s 26 -0.3640775 0.059510 215s 27 -0.3458392 -0.069204 215s 28 -0.1208393 0.053577 215s 29 -0.6033482 -0.176391 215s 30 1.1440521 -0.676183 215s 31 -0.5960920 -0.013765 215s 32 0.0519296 0.259855 215s 33 0.1861752 0.167779 215s 34 1.3802755 -0.632611 215s 35 -0.6542566 -0.173505 215s 36 0.5583690 0.392215 215s 37 0.0561384 0.230152 215s 38 0.1861752 0.167779 215s 39 0.1353472 0.241376 215s 40 0.5355195 0.197080 215s 41 -0.3980701 0.014294 215s 42 0.0277576 0.145332 215s 43 0.2979736 0.234120 215s 44 0.3049884 0.184614 215s 45 0.4889809 0.311684 215s 46 -0.0514512 0.134108 215s 47 -0.5224950 0.037063 215s ------------- 215s Call: 215s PcaClassic(x = x) 215s 215s Standard deviations: 215s [1] 0.57557 0.28218 215s ---------------------------------------------------------- 215s phosphor 18 2 2 220.403422 68.346121 215s Scores: 215s PC1 PC2 215s 1 4.04290 -15.3459 215s 2 -22.30489 -1.0004 215s 3 -24.52683 3.2836 215s 4 -12.54839 -6.0848 215s 5 -19.37044 2.2979 215s 6 15.20366 -19.9424 215s 7 0.44222 -3.1379 215s 8 -10.64042 3.6933 215s 9 -11.67967 5.9670 215s 10 14.26805 -7.0221 215s 11 -4.98832 1.5268 215s 12 8.74986 7.9379 215s 13 12.26290 6.0251 215s 14 6.27607 7.5768 215s 15 17.53246 3.1560 215s 16 -10.17024 -5.8994 215s 17 21.05826 5.4492 215s 18 16.39281 11.5191 215s ------------- 215s Call: 215s PcaClassic(x = x) 215s 215s Standard deviations: 215s [1] 14.8460 8.2672 215s ---------------------------------------------------------- 215s stackloss 21 3 3 99.576089 19.581136 215s Scores: 215s PC1 PC2 PC3 215s 1 20.15352 -4.359452 0.324585 215s 2 19.81554 -5.300468 0.308294 215s 3 15.45222 -1.599136 -0.203125 215s 4 2.40370 -0.145282 2.370302 215s 5 1.89538 0.070566 0.448061 215s 6 2.14954 -0.037358 1.409182 215s 7 4.43153 5.500810 2.468051 215s 8 4.43153 5.500810 2.468051 215s 9 -1.47521 1.245404 2.511773 215s 10 -5.11183 -4.802083 -2.407870 215s 11 -2.07009 3.667055 -2.261247 215s 12 -2.66223 2.833964 -3.238659 215s 13 -4.43589 -2.920053 -2.375287 215s 14 -0.46404 7.323193 -1.234961 215s 15 -9.31959 6.232579 -0.056064 215s 16 -10.33350 3.409533 -0.104938 215s 17 -14.81094 -9.872607 0.628103 215s 18 -12.44514 -3.285499 0.742143 215s 19 -11.85300 -2.452408 1.719555 215s 20 -5.73994 -2.494520 0.098250 215s 21 9.98843 1.484952 -3.614198 215s ------------- 215s Call: 215s PcaClassic(x = x) 215s 215s Standard deviations: 215s [1] 9.9788 4.4251 1.8986 215s ---------------------------------------------------------- 215s salinity 28 3 3 11.410736 7.075409 215s Scores: 215s PC1 PC2 PC3 215s 1 -0.937789 -2.40535 0.812909 215s 2 -1.752631 -2.57774 2.004437 215s 3 -6.509364 -0.78762 -1.821906 215s 4 -5.619847 -2.41333 -1.586891 215s 5 -7.268242 1.61012 1.563568 215s 6 -4.316558 -3.20411 0.029376 215s 7 -2.379545 -3.32371 0.703101 215s 8 0.013514 -3.50586 1.260502 215s 9 0.265262 -0.16736 -2.886883 215s 10 1.890755 2.43623 -0.986832 215s 11 0.804196 2.56656 0.387577 215s 12 0.935082 -1.03559 -0.074081 215s 13 1.814839 -1.61087 0.612290 215s 14 3.407535 -0.15880 2.026088 215s 15 1.731273 2.95159 -1.840286 215s 16 -6.129708 7.21368 2.632273 215s 17 -0.645124 1.06260 0.028697 215s 18 -1.307532 -2.54679 -0.280273 215s 19 0.483455 -0.55896 -3.097281 215s 20 2.053267 0.47308 -1.858703 215s 21 3.277664 -1.31002 0.453753 215s 22 4.631644 -0.78005 1.519894 215s 23 1.864403 5.32790 -0.849694 215s 24 0.623899 4.29317 0.056461 215s 25 1.301696 0.37871 -0.646220 215s 26 2.852126 -0.79527 -0.347711 215s 27 4.134051 -0.92756 0.449222 215s 28 4.781679 -0.20467 1.736616 215s ------------- 215s Call: 215s PcaClassic(x = x) 215s 215s Standard deviations: 215s [1] 3.3780 2.6600 1.4836 215s ---------------------------------------------------------- 215s hbk 75 3 3 216.162129 1.981077 215s Scores: 215s PC1 PC2 PC3 215s 1 26.2072 -0.660756 0.503340 215s 2 27.0406 -0.108506 -0.225059 215s 3 28.8351 -1.683721 0.263078 215s 4 29.9221 -0.812174 -0.674480 215s 5 29.3181 -0.909915 -0.121600 215s 6 27.5360 -0.599697 0.916574 215s 7 27.6617 -0.073753 0.676620 215s 8 26.5576 -0.882312 0.159620 215s 9 28.8726 -1.074223 -0.673462 215s 10 27.6643 -1.463829 -0.868593 215s 11 34.2019 -0.664473 -0.567265 215s 12 35.4805 -2.730949 -0.259320 215s 13 34.7544 1.325449 0.749884 215s 14 38.9522 8.171389 0.034382 215s 15 -5.5375 0.390704 1.679172 215s 16 -7.4319 0.803850 1.925633 215s 17 -8.5880 0.957577 -1.010312 215s 18 -6.6022 -0.425109 0.625148 215s 19 -6.5596 1.154721 -0.640680 215s 20 -5.2525 0.812527 1.377832 215s 21 -6.2771 0.067747 0.958907 215s 22 -6.2501 1.325491 -1.104428 215s 23 -7.2419 0.839808 0.728712 215s 24 -7.6489 1.131606 0.154897 215s 25 -9.0763 -0.670721 -0.167577 215s 26 -5.5967 0.999411 -0.810000 215s 27 -5.1460 -0.339018 1.326712 215s 28 -7.1659 -0.993461 0.125933 215s 29 -8.2104 -0.169338 -0.073569 215s 30 -6.2499 -1.689222 -0.877481 215s 31 -7.3180 -0.225795 1.687204 215s 32 -7.9446 1.473868 -0.541790 215s 33 -6.3604 1.237472 0.061800 215s 34 -8.9812 -0.710662 -0.830422 215s 35 -5.1698 -0.435484 1.102817 215s 36 -5.9995 -0.058135 -0.713550 215s 37 -5.8753 0.852882 -1.610556 215s 38 -8.4501 0.334363 0.404813 215s 39 -8.1751 -1.300317 0.633282 215s 40 -7.4495 0.672712 -0.829815 215s 41 -5.6213 -1.106765 1.395315 215s 42 -6.8571 -0.900977 -1.509937 215s 43 -7.0633 1.987372 -1.079934 215s 44 -6.3763 -1.867647 -0.251224 215s 45 -8.6456 -0.866053 0.630132 215s 46 -6.5356 -1.763526 -0.189838 215s 47 -8.2224 -1.183284 1.615150 215s 48 -5.6136 -1.100704 1.079239 215s 49 -5.9907 0.220336 1.443387 215s 50 -5.2675 0.142923 0.194023 215s 51 -7.9324 0.324710 1.113289 215s 52 -7.5544 -1.033884 1.792496 215s 53 -6.7119 -1.712257 -1.711778 215s 54 -7.4679 1.856542 0.046658 215s 55 -7.4666 1.161504 -0.725948 215s 56 -6.7110 1.574868 0.534288 215s 57 -8.2571 -0.399824 0.521995 215s 58 -5.9781 1.312567 0.926790 215s 59 -5.6960 -0.394338 -0.332938 215s 60 -6.1017 -0.797579 -1.679359 215s 61 -5.2628 0.919128 -1.436156 215s 62 -9.1245 -0.516135 -0.229065 215s 63 -7.7140 1.659145 0.068510 215s 64 -4.9886 0.173613 0.865810 215s 65 -6.6157 -1.479786 0.098390 215s 66 -7.9511 0.772770 -0.998321 215s 67 -7.1856 0.459602 0.216588 215s 68 -8.7345 -0.860784 -1.238576 215s 69 -8.5833 -0.313481 0.832074 215s 70 -5.8642 -0.142883 -0.870064 215s 71 -5.8879 0.186456 0.464467 215s 72 -7.1865 0.497156 -0.826767 215s 73 -6.8671 -0.058606 -1.335842 215s 74 -7.1398 0.727642 -1.422331 215s 75 -7.2696 -1.347832 -1.496927 215s ------------- 215s Call: 215s PcaClassic(x = x) 215s 215s Standard deviations: 215s [1] 14.70245 1.40751 0.95725 215s ---------------------------------------------------------- 215s milk 86 8 8 15.940298 2.771345 215s Scores: 215s PC1 PC2 PC3 PC4 PC5 PC6 PC7 215s 1 6.471620 1.031110 0.469432 0.5736412 1.0294362 -0.6054039 -0.2005117 215s 2 7.439545 0.320597 0.081922 -0.6305898 0.7128977 -1.1601053 -0.1170582 215s 3 1.240654 -1.840458 0.520870 -0.1717469 0.2752079 -0.3815506 0.6004089 215s 4 5.952685 -1.856375 1.638710 0.3358626 -0.5834205 -0.0665348 -0.1580799 215s 5 -0.706973 0.261795 0.423736 0.2916399 -0.5307716 -0.3325563 -0.0062349 215s 6 2.524050 0.293380 -0.572997 0.2466367 -0.3497882 0.0386014 -0.1418131 215s 7 3.136085 -0.050202 -0.818165 -0.0451560 -0.5226337 -0.1597194 0.1669050 215s 8 3.260390 0.312365 -0.110776 0.4908006 -0.5225353 -0.1972222 -0.1068433 215s 9 -0.808914 -2.355785 1.344204 -0.4743284 -0.1394914 -0.1390080 -0.2620731 215s 10 -2.511226 -0.995321 -0.087218 -0.5950040 0.4268321 0.2561918 0.0891170 215s 11 -9.204096 -0.598364 1.587275 0.0833647 0.1865626 0.0358228 0.0920394 215s 12 -12.946774 1.951332 -0.179186 0.2560603 0.1300954 -0.1179820 -0.0999494 215s 13 -10.011603 0.726323 -2.102423 -1.3105560 0.3291550 0.0660007 -0.0794410 215s 14 -11.983644 0.768224 -0.532227 -0.5161201 -0.0817164 -0.4358934 -0.1734612 215s 15 -10.465714 -0.704271 2.035437 0.3713778 -0.0564830 -0.2696432 -0.1940091 215s 16 -2.527619 -0.286939 0.354497 0.8571223 0.1585009 0.2272835 0.4386955 215s 17 -0.514527 -2.895087 1.657181 0.2208239 0.1961109 0.1280496 -0.0182491 215s 18 -1.763931 0.854269 -0.686282 0.2848209 -0.4813608 -0.2623962 0.4757030 215s 19 -1.538419 -0.866477 1.103818 0.3874507 0.2086661 0.1267277 0.2354264 215s 20 0.732842 -1.455594 1.097358 -0.2530588 -0.0302385 0.2654274 0.6093330 215s 21 -2.530155 1.932885 -0.873095 0.6202295 -0.4153607 0.0048383 0.0067484 215s 22 -0.772646 0.675846 -0.259539 0.4844670 -0.0893266 -0.2785557 -0.0424662 215s 23 0.185417 1.413719 0.066135 1.1014470 0.0468093 0.0288637 0.2539994 215s 24 -0.280536 0.908864 0.113221 1.3370381 0.3289929 0.2588134 -0.0356289 215s 25 -3.503626 1.971233 0.203620 1.1975494 -0.3175317 0.1149685 0.0584396 215s 26 -0.639313 1.175503 0.403906 0.9082134 -0.2648165 -0.1238813 -0.0174853 215s 27 -2.923327 -0.365168 0.149478 0.8201430 -0.1544609 -0.4856934 -0.0058424 215s 28 2.505633 3.050292 -0.554424 2.1416405 -0.0378764 0.1002280 -0.3888580 215s 29 4.649504 1.054863 -0.081018 1.1454466 0.1502080 0.4967323 0.0879775 215s 30 1.049282 1.355215 -0.142701 0.7805566 -0.2059790 0.0193142 0.0815524 215s 31 1.962583 1.595396 -2.050642 0.3556747 0.1384801 0.1197984 0.1608247 215s 32 1.554846 0.095644 -1.423054 -0.3175620 0.4260008 -0.1612463 -0.0567196 215s 33 2.248977 0.010348 -0.062469 0.6388269 0.2098648 0.1330250 0.0906704 215s 34 0.993109 -0.828812 0.284059 0.3446686 0.1899096 -0.0515571 -0.2281197 215s 35 -0.335103 1.614093 -0.920661 1.2502617 0.2435013 0.1264875 0.0469238 215s 36 4.346795 1.208134 0.368889 1.1429977 -0.1362052 -0.0158169 -0.0183852 215s 37 0.992634 2.013738 -1.350619 0.8714694 0.0057776 -0.2122691 0.1760918 215s 38 2.213341 1.706516 -0.705418 1.2670281 -0.0707149 0.0670467 -0.1863588 215s 39 -1.213255 0.644062 0.163988 1.1213961 0.2945355 0.1093574 0.0019574 215s 40 3.942604 -1.704266 0.660327 0.1618506 0.4259076 0.0070193 0.3462765 215s 41 4.262054 1.687193 0.351875 0.5396477 1.0052810 -0.9331689 0.0056063 215s 42 6.865198 -1.091248 1.153585 1.1248797 0.0873276 0.2565221 0.0333265 215s 43 3.476720 0.555449 -1.030771 -0.3015720 -0.1748109 -0.1584968 0.4079902 215s 44 5.691730 -0.141240 0.565189 0.3174238 0.6478440 1.0579977 -0.5387916 215s 45 0.327134 0.152011 -0.394798 0.4998430 0.1599781 0.3159518 0.1623656 215s 46 0.280225 1.569387 -0.100397 1.2800976 0.0446645 0.0946513 0.0461599 215s 47 3.119928 -0.384834 -3.325600 -1.8865310 -0.1334744 0.1249987 -0.2561273 215s 48 0.501542 0.739816 -1.384556 -0.1244721 0.2948958 0.4836170 -0.1182802 215s 49 -1.953218 0.269986 -1.726474 -0.8510637 0.5047958 0.4860651 0.2318735 215s 50 3.706878 -2.400570 1.361047 -0.4949076 0.2180352 0.4080879 0.1156540 215s 51 -1.060358 -0.521609 -1.387412 -1.2767491 -0.0521356 0.1665452 -0.0044412 215s 52 -4.900528 0.157011 -1.015880 -0.9941168 0.2069608 0.3239762 -0.1921715 215s 53 -0.388496 0.062051 -0.643721 -0.8544141 -0.1857141 0.0063293 0.2664606 215s 54 0.109234 -0.018709 -0.242825 -0.2064701 -0.0585165 0.1720867 0.1117397 215s 55 1.176175 0.644539 -0.373694 0.0038605 -0.3436524 0.0194450 -0.0838883 215s 56 0.407259 -0.606637 0.222915 -0.3622451 -0.0737834 0.0228104 0.0297333 215s 57 -1.022756 -0.071860 0.741957 0.2273628 -0.1388444 -0.2396467 -0.2327738 215s 58 0.245419 1.167059 0.225934 0.8318795 -0.5365166 -0.0090816 -0.1680757 215s 59 -1.300617 -1.110325 -0.262740 -0.8857801 -0.0816954 -0.1186886 -0.0928322 215s 60 -1.110561 -0.832357 -0.212713 -0.4754481 -0.4105982 -0.1886992 -0.0602872 215s 61 0.381831 -1.475116 0.601047 -0.6260156 -0.1854501 -0.1749306 -0.0013904 215s 62 2.734462 -1.887861 0.813453 -0.5856987 0.2310656 0.1117041 -0.0293373 215s 63 3.092464 -0.172602 0.017725 0.4874693 -0.5428206 0.0151218 -0.0683340 215s 64 3.092464 -0.172602 0.017725 0.4874693 -0.5428206 0.0151218 -0.0683340 215s 65 0.004744 -2.712679 1.178987 -0.6677199 0.0208119 0.0621903 -0.0655693 215s 66 -2.014851 -1.060090 -0.099959 -0.7225044 -0.1947648 -0.2282902 -0.0505015 215s 67 0.621739 -1.296106 0.255632 -0.3309504 -0.0880200 0.2524306 0.1465779 215s 68 -0.271385 -1.709161 -1.100349 -2.0937671 0.2166264 0.0191278 0.0114174 215s 69 -0.326350 -0.737232 0.021639 -0.3850383 -0.4338287 0.2156624 0.1597594 215s 70 4.187093 9.708082 4.632803 -4.9751240 -0.0881576 0.2392433 0.0568049 215s 71 -1.868507 -1.600166 0.436353 -0.8078214 -0.1530893 0.0479471 -0.1999893 215s 72 2.768081 -0.556824 -0.148923 -0.3197853 -0.5524427 0.0907804 -0.0694488 215s 73 -1.441846 -2.735114 -0.294134 -1.2172969 0.0109453 -0.0562910 0.1505788 215s 74 -10.995490 0.615992 1.950966 1.1687190 0.2798335 0.2713257 0.0652135 215s 75 0.508992 -2.363945 -0.407064 -0.9522316 0.1040307 0.1088110 -0.7368484 215s 76 -1.015714 -0.307662 -1.088162 -1.0181862 -0.0440888 -0.1362208 0.0271200 215s 77 -8.028891 -0.580763 0.933638 0.4619362 0.3379832 -0.1368644 -0.0669441 215s 78 1.763308 -1.336175 -0.127809 -0.7161775 -0.1904861 -0.0900461 0.0037539 215s 79 0.208944 -0.580698 -0.626297 -0.7620610 -0.0262368 -0.2928202 0.0285908 215s 80 -3.230608 1.251352 0.195280 0.8687004 0.1812011 0.2600692 -0.1516375 215s 81 1.498160 0.669731 -0.266114 0.3772866 -0.2769688 -0.1066593 -0.1608395 215s 82 3.232051 -1.776018 0.485524 0.1170945 0.0557260 0.2219872 0.1187681 215s 83 2.999977 -0.228275 -0.467724 -0.4287672 0.0494902 -0.2337809 -0.0718159 215s 84 1.238083 0.320956 -1.806006 -1.0142266 0.2359630 -0.0857149 0.0593938 215s 85 1.276376 -2.081214 2.540850 0.3745805 -0.2596482 -0.1228412 -0.2199985 215s 86 0.930715 0.836457 -1.385153 -0.6074929 -0.2476354 0.1680713 -0.0117324 215s PC8 215s 1 9.0765e-04 215s 2 2.1811e-04 215s 3 1.1834e-03 215s 4 8.4077e-05 215s 5 9.9209e-04 215s 6 1.6277e-03 215s 7 2.4907e-04 215s 8 6.8383e-04 215s 9 -5.0924e-04 215s 10 3.1215e-04 215s 11 3.0654e-04 215s 12 -1.1951e-03 215s 13 -1.2849e-03 215s 14 -9.0801e-04 215s 15 -1.2686e-03 215s 16 -1.8441e-03 215s 17 -2.1068e-03 215s 18 -5.7816e-04 215s 19 -1.2330e-03 215s 20 3.3857e-05 215s 21 3.8623e-04 215s 22 1.3035e-04 215s 23 -3.8648e-04 215s 24 -1.7400e-04 215s 25 -3.9196e-04 215s 26 -7.6996e-04 215s 27 -4.8042e-04 215s 28 -2.0628e-04 215s 29 -4.5672e-04 215s 30 -1.4716e-04 215s 31 -4.6385e-05 215s 32 -2.0481e-04 215s 33 -3.0020e-04 215s 34 -5.8179e-05 215s 35 1.3870e-04 215s 36 -6.7177e-04 215s 37 -3.0799e-04 215s 38 6.2140e-04 215s 39 4.5912e-04 215s 40 -3.7165e-04 215s 41 -5.4362e-04 215s 42 -1.0155e-03 215s 43 1.3449e-04 215s 44 -5.4761e-04 215s 45 1.0300e-03 215s 46 1.1039e-03 215s 47 -6.4858e-04 215s 48 -7.6886e-05 215s 49 3.2590e-04 215s 50 8.6845e-05 215s 51 4.9423e-04 215s 52 9.2973e-04 215s 53 4.4342e-04 215s 54 4.9888e-04 215s 55 7.2171e-04 215s 56 -3.2133e-05 215s 57 -1.8101e-04 215s 58 -5.4969e-06 215s 59 -8.3841e-04 215s 60 5.9446e-05 215s 61 -6.5683e-05 215s 62 -3.4073e-04 215s 63 -6.5145e-04 215s 64 -6.5145e-04 215s 65 1.4986e-04 215s 66 2.8096e-04 215s 67 -6.5170e-05 215s 68 -1.3775e-04 215s 69 6.8225e-06 215s 70 -1.6290e-04 215s 71 3.9009e-04 215s 72 -1.3981e-04 215s 73 6.2613e-04 215s 74 2.6513e-03 215s 75 3.7088e-04 215s 76 9.9539e-04 215s 77 1.2979e-03 215s 78 5.6500e-04 215s 79 3.0940e-04 215s 80 8.7993e-04 215s 81 -3.1353e-04 215s 82 4.9625e-04 215s 83 -6.3951e-04 215s 84 -4.5582e-04 215s 85 5.9440e-04 215s 86 -3.6234e-04 215s ------------- 215s Call: 215s PcaClassic(x = x) 215s 215s Standard deviations: 215s [1] 3.99253025 1.66473582 1.10660264 0.96987790 0.33004256 0.29263512 0.20843280 215s [8] 0.00074024 215s ---------------------------------------------------------- 215s bushfire 38 5 5 38435.075910 1035.305774 215s Scores: 215s PC1 PC2 PC3 PC4 PC5 215s 1 -111.9345 4.9970 -1.00881 -1.224361 3.180569 215s 2 -113.4128 7.4784 -0.79170 -0.235184 2.385812 215s 3 -105.8364 10.9615 -3.15662 -0.251662 1.017328 215s 4 -89.1684 8.7232 -6.15080 -0.075611 1.431111 215s 5 -58.7216 -1.9543 -12.70661 -0.151328 1.425570 215s 6 -35.0370 -12.8434 -17.06841 -0.525664 3.499743 215s 7 -250.2123 -49.4348 23.31261 -19.070238 0.647348 215s 8 -292.6877 -69.7708 -21.30815 13.093808 -1.288764 215s 9 -294.0765 -70.9903 -23.96326 14.940985 -0.939076 215s 10 -290.0193 -57.3747 3.51346 1.858995 0.083107 215s 11 -289.8168 -43.3207 16.08046 -1.745099 -1.506042 215s 12 -290.8645 6.2503 40.52173 -7.496479 -0.033767 215s 13 -232.6865 41.8090 37.19429 -1.280348 -0.470837 215s 14 9.8483 25.1954 -14.56970 0.538484 1.772046 215s 15 137.1924 11.8521 -37.12452 -5.130459 -0.586695 215s 16 92.9804 10.3923 -24.97267 -7.551314 -1.867125 215s 17 90.4493 10.5630 -21.92735 -5.669651 -1.001362 215s 18 78.6325 5.2211 -19.74718 -6.107880 -1.939986 215s 19 82.1178 3.6913 -21.37810 -4.259855 -1.278838 215s 20 92.9044 7.1961 -21.22900 -4.125571 -0.127089 215s 21 74.9157 10.2991 -16.60924 -5.660751 -0.406343 215s 22 66.7350 12.0460 -16.73298 -4.669080 1.333436 215s 23 -62.1981 22.7394 6.03613 -5.182356 -0.453624 215s 24 -116.5696 32.3182 12.74846 -1.465657 -0.097851 215s 25 -53.8907 22.4278 -2.18861 -2.742014 -0.990071 215s 26 -60.6384 20.2952 -3.05206 -2.953685 -0.629061 215s 27 -74.7621 28.9067 -0.65817 1.473357 -0.443957 215s 28 -50.2202 37.3457 -1.44989 5.530426 -1.073521 215s 29 -38.7483 50.2749 2.34469 10.156457 -0.416262 215s 30 -93.3887 51.7884 20.08872 8.798781 -1.620216 215s 31 35.3096 41.7158 13.46272 14.464358 -0.475973 215s 32 290.8493 3.5924 7.41501 15.244293 2.141354 215s 33 326.7236 -29.8194 15.64898 2.612061 0.064931 215s 34 322.9095 -30.6372 16.21520 1.248005 -0.711322 215s 35 328.5307 -29.9533 16.49656 1.138916 0.974792 215s 36 325.6791 -30.6990 16.83840 -0.050949 -1.211360 215s 37 323.8136 -30.7474 19.55764 -1.545150 -0.267580 215s 38 325.2991 -30.5350 20.31878 -1.928580 -0.120425 215s ------------- 215s Call: 215s PcaClassic(x = x) 215s 215s Standard deviations: 215s [1] 196.0487 32.1762 18.4819 6.9412 1.3510 215s ---------------------------------------------------------- 215s ========================================================== 215s > dodata(method="hubert.mcd") 215s 215s Call: dodata(method = "hubert.mcd") 215s Data Set n p k e1 e2 215s ========================================================== 215s heart 12 2 2 358.175786 4.590630 215s Scores: 215s PC1 PC2 215s 1 -12.2285 0.86283 215s 2 -68.9906 -7.43256 215s 3 -5.7035 -1.53793 215s 4 -1.8988 2.90891 215s 5 -24.0044 -2.68946 215s 6 9.9115 8.43321 215s 7 -11.0210 1.77484 215s 8 25.1826 -1.31573 215s 9 -3.2809 -0.74345 215s 10 23.8200 -0.93701 215s 11 9.1344 1.67701 215s 12 -53.6607 -5.08826 215s ------------- 215s Call: 215s PcaHubert(x = x, k = p) 215s 215s Standard deviations: 215s [1] 18.9255 2.1426 215s ---------------------------------------------------------- 215s starsCYG 47 2 2 0.280653 0.005921 215s Scores: 215s PC1 PC2 215s 1 -0.285731 -0.0899858 215s 2 -0.819689 0.0153191 215s 3 0.028077 -0.1501882 215s 4 -0.819689 0.0153191 215s 5 -0.234971 -0.1526225 215s 6 -0.527231 -0.0382380 215s 7 0.372118 -0.5195605 215s 8 -0.357448 0.1009508 215s 9 -0.603553 -0.2533541 215s 10 -0.177170 -0.0722541 215s 11 -0.637339 -1.0390758 215s 12 -0.512526 -0.0662337 215s 13 -0.490978 -0.0120517 215s 14 0.936868 -0.2550656 215s 15 0.684479 -0.0125787 215s 16 0.347708 0.0641382 215s 17 1.009966 -0.0202111 215s 18 0.742477 0.1286170 215s 19 0.773105 -0.0588983 215s 20 -0.795247 -1.0648673 215s 21 0.566048 -0.0319223 215s 22 0.723956 -0.0061308 215s 23 0.505616 0.0899297 215s 24 0.069956 0.0896997 215s 25 -0.080090 -0.0462652 215s 26 0.268755 0.0512425 215s 27 0.289710 -0.0770574 215s 28 0.038341 -0.0269216 215s 29 0.567463 -0.1026188 215s 30 -0.951542 -1.1005280 215s 31 0.512064 0.0504528 215s 32 -0.188059 0.1184850 215s 33 -0.288758 -0.0094200 215s 34 -1.190016 -1.1293460 215s 35 0.615197 -0.0846898 215s 36 -0.710930 0.0938781 215s 37 -0.183223 0.0888774 215s 38 -0.288758 -0.0094200 215s 39 -0.262177 0.0759816 215s 40 -0.630957 -0.0855773 215s 41 0.314679 0.0182135 215s 42 -0.130850 0.0163715 215s 43 -0.415248 0.0205825 215s 44 -0.407188 -0.0287636 215s 45 -0.620693 0.0376892 215s 46 -0.051896 0.0292672 215s 47 0.426662 0.0770340 215s ------------- 215s Call: 215s PcaHubert(x = x, k = p) 215s 215s Standard deviations: 215s [1] 0.529767 0.076946 215s ---------------------------------------------------------- 215s phosphor 18 2 2 285.985489 32.152099 215s Scores: 215s PC1 PC2 215s 1 -2.89681 -18.08811 215s 2 21.34021 -0.40854 215s 3 22.98065 4.13006 215s 4 12.33544 -6.72947 215s 5 17.99823 2.47611 215s 6 -13.35773 -24.10967 215s 7 -0.92957 -5.51314 215s 8 9.16061 2.71354 215s 9 9.89243 5.10403 215s 10 -14.12600 -11.17832 215s 11 3.84175 -0.17605 215s 12 -10.61905 4.37646 215s 13 -13.85065 2.01919 215s 14 -8.11927 4.34325 215s 15 -18.69805 -1.51673 215s 16 9.95352 -6.85784 215s 17 -22.49433 0.29387 215s 18 -18.66592 6.92359 215s ------------- 215s Call: 215s PcaHubert(x = x, k = p) 215s 215s Standard deviations: 215s [1] 16.9111 5.6703 215s ---------------------------------------------------------- 215s stackloss 21 3 3 78.703690 19.249085 215s Scores: 215s PC1 PC2 PC3 215s 1 -20.323997 10.26124 0.92041 215s 2 -19.761418 11.08797 0.92383 215s 3 -16.469919 6.43190 0.22593 215s 4 -4.171902 1.68262 2.50695 215s 5 -3.756174 1.40774 0.57004 215s 6 -3.964038 1.54518 1.53850 215s 7 -7.547376 -3.27780 2.48643 215s 8 -7.547376 -3.27780 2.48643 215s 9 -0.763294 -0.63699 2.53518 215s 10 4.214079 4.46296 -2.28315 215s 11 -0.849132 -2.97767 -2.31393 215s 12 -0.078689 -2.28838 -3.27896 215s 13 3.088921 2.80948 -2.28999 215s 14 -3.307313 -6.14718 -1.35916 215s 15 5.552354 -7.34201 -0.32057 215s 16 7.240091 -4.86180 -0.31031 215s 17 14.908334 6.84995 0.70603 215s 18 10.970281 1.06279 0.68209 215s 19 10.199838 0.37350 1.64712 215s 20 4.273564 1.99328 0.14526 215s 21 -11.992249 2.19025 -3.37391 215s ------------- 215s Call: 215s PcaHubert(x = x, k = p) 215s 215s Standard deviations: 215s [1] 8.8715 4.3874 2.1990 215s ---------------------------------------------------------- 215s salinity 28 3 3 11.651966 4.107426 215s Scores: 215s PC1 PC2 PC3 215s 1 1.68712 1.62591 0.19812128 215s 2 2.35772 2.37290 1.24965734 215s 3 6.80132 -2.14412 0.68142276 215s 4 6.41982 -0.61348 -0.31907921 215s 5 6.36697 -1.98030 4.87319903 215s 6 5.22050 1.20864 0.10252555 215s 7 3.34007 2.02950 0.00064329 215s 8 1.06220 2.89801 -0.35658064 215s 9 0.34692 -2.20572 -1.71677710 215s 10 -2.21421 -2.74842 0.76862599 215s 11 -1.40111 -2.16163 2.21124383 215s 12 -0.38242 0.32284 -0.23732191 215s 13 -1.12809 1.33152 -0.28800043 215s 14 -3.24998 1.35943 1.17514969 215s 15 -2.11006 -3.70114 0.45102357 215s 16 3.46920 -5.41242 8.56937909 215s 17 0.46682 -1.46753 1.48992481 215s 18 2.21807 0.99168 -0.61894625 215s 19 0.28525 -2.00333 -2.16450483 215s 20 -1.66639 -1.76768 -1.06946404 215s 21 -2.58106 1.23534 -0.65557612 215s 22 -4.15573 1.71244 0.08170141 215s 23 -3.07670 -4.87628 2.53200755 215s 24 -1.70808 -3.71657 2.99305849 215s 25 -1.08172 -1.05713 0.02468813 215s 26 -2.23187 0.27323 -0.85760867 215s 27 -3.50498 1.07657 -0.68503455 215s 28 -4.49819 1.43219 0.53416609 215s ------------- 215s Call: 215s PcaHubert(x = x, k = p) 215s 215s Standard deviations: 215s [1] 3.4135 2.0267 1.0764 215s ---------------------------------------------------------- 215s hbk 75 3 3 1.459908 1.201048 215s Scores: 215s PC1 PC2 PC3 215s 1 -31.105415 4.714217 10.4566165 215s 2 -31.707650 5.748724 10.7682402 215s 3 -33.366131 4.625897 12.1570167 215s 4 -34.173377 6.069657 12.4466895 215s 5 -33.780418 5.508823 11.9872893 215s 6 -32.493478 4.684595 10.5679819 215s 7 -32.592637 5.235522 10.3765493 215s 8 -31.293363 4.865797 10.9379676 215s 9 -33.160964 5.714260 12.3098920 215s 10 -31.919786 5.384537 12.3374332 215s 11 -38.231962 6.810641 13.5994385 215s 12 -39.290479 5.393906 15.2942554 215s 13 -39.418445 7.326461 11.5194898 215s 14 -43.906584 13.214819 8.3282743 215s 15 -1.906326 -0.716061 -0.8635112 215s 16 -0.263255 -0.926016 -1.9009292 215s 17 1.776489 1.072332 -0.5496140 215s 18 -0.464648 -0.702441 0.0482897 215s 19 -0.267826 1.283779 -0.2925812 215s 20 -2.122108 -0.165970 -0.8924686 215s 21 -0.937217 -0.548532 -0.4132196 215s 22 -0.423273 1.781869 -0.0323061 215s 23 -0.047532 -0.018909 -1.1259327 215s 24 0.490041 0.520202 -1.1065753 215s 25 2.143049 -0.720869 -0.0495474 215s 26 -1.094748 1.459175 0.2226246 215s 27 -2.070705 -0.898573 0.0023229 215s 28 0.294998 -0.830258 0.5929001 215s 29 1.242995 -0.300216 -0.2010507 215s 30 -0.147958 -0.439099 2.0003038 215s 31 -0.170818 -1.440946 -0.9755627 215s 32 0.958531 1.199730 -1.0129867 215s 33 -0.697307 0.874343 -0.7260649 215s 34 2.278946 -0.261106 0.4196544 215s 35 -1.962829 -0.809318 0.2033113 215s 36 -0.626631 0.600666 0.8004036 215s 37 -0.550885 1.881448 0.7382776 215s 38 1.249717 -0.336214 -0.9349845 215s 39 1.106696 -1.569418 0.1869576 215s 40 0.684034 0.939963 -0.1034965 215s 41 -1.559314 -1.551408 0.3660323 215s 42 0.538741 0.447358 1.6361099 215s 43 0.252685 2.080564 -0.7765259 215s 44 -0.217012 -1.027281 1.7015154 215s 45 1.497600 -1.349234 -0.2698932 215s 46 -0.100388 -1.026443 1.5390401 215s 47 0.811117 -2.195271 -0.5208141 215s 48 -1.462210 -1.321318 0.5600144 215s 49 -1.383976 -0.740714 -0.7348906 215s 50 -1.636773 0.215464 0.3195369 215s 51 0.530918 -0.759743 -1.2069247 215s 52 0.109566 -2.107455 -0.5315473 215s 53 0.564334 0.060847 2.3910630 215s 54 0.272234 1.122711 -1.5060028 215s 55 0.608660 1.197219 -0.5255609 215s 56 -0.565430 0.710345 -1.3708230 215s 57 1.115629 -0.888816 -0.4186014 215s 58 -1.351288 0.374815 -1.1980618 215s 59 -0.998016 0.151228 0.9007970 215s 60 -0.124017 0.764846 1.9005963 215s 61 -1.189858 1.905264 0.7721322 215s 62 2.190589 -0.579614 -0.1377914 215s 63 0.518278 0.931130 -1.4534768 215s 64 -2.124566 -0.194391 -0.0327092 215s 65 -0.154218 -1.050861 1.1309885 215s 66 1.197852 1.044147 -0.2265269 215s 67 0.114174 0.094763 -0.5168926 215s 68 2.201115 -0.032271 0.8573493 215s 69 1.307843 -1.104815 -0.7741270 215s 70 -0.691449 0.676665 1.0004603 215s 71 -1.150975 -0.050861 -0.0717068 215s 72 0.457293 0.861871 0.1026350 215s 73 0.392258 0.897451 0.9178065 215s 74 0.584658 1.450471 0.3201857 215s 75 0.972517 0.063777 1.8223995 215s ------------- 215s Call: 215s PcaHubert(x = x, k = p) 215s 215s Standard deviations: 215s [1] 1.2083 1.0959 1.0168 215s ---------------------------------------------------------- 215s milk 86 8 8 5.739740 2.405262 215s Scores: 215s PC1 PC2 PC3 PC4 PC5 PC6 PC7 215s 1 -5.710924 -1.346213 0.01332091 -0.3709242 -0.566813 0.7529298 -1.2525433 215s 2 -6.578612 -0.440749 1.16354746 0.2870685 -0.573207 0.7368064 -1.6101427 215s 3 -0.720902 1.777381 -0.21532020 -0.3213950 0.287603 -0.4764464 -0.5638337 215s 4 -5.545889 1.621147 -0.85212883 0.4380154 0.022241 0.0718035 0.1176140 215s 5 1.323210 -0.143897 -0.78611461 0.5966857 0.043139 -0.0512545 -0.1419726 215s 6 -1.760792 -0.662792 0.46402240 0.2149752 0.130000 0.0797221 0.1916948 215s 7 -2.344198 -0.363657 0.92442296 0.3921371 0.241463 -0.2370967 0.0636268 215s 8 -2.556824 -0.680132 0.04339934 0.4635077 0.154136 0.0371259 0.0260340 215s 9 1.203234 2.712342 -1.00693092 0.1251739 0.170679 0.2231851 -0.0118196 215s 10 3.151858 1.255826 -0.01678562 -0.5087398 -0.087933 0.0115055 -0.0097828 215s 11 9.562891 1.580419 -2.65612113 -0.1748178 -0.153031 -0.0880112 -0.1648752 215s 12 13.617821 -0.999033 -1.92168237 0.0326918 -0.038488 0.0870082 -0.1809687 215s 13 10.958032 -0.097916 0.95915085 -0.2348663 0.147875 0.1219202 0.0419067 215s 14 12.675941 0.158747 -1.04153243 0.3117402 0.302036 0.1187749 -0.2310830 215s 15 10.726828 1.775339 -3.36786799 0.1285422 0.151594 0.0998947 -0.2028458 215s 16 3.042705 0.212589 -1.23921907 -0.5596596 0.277061 -0.5037073 0.0612182 215s 17 0.780071 2.990008 -1.58490147 -0.5441119 0.436485 -0.0603833 0.1016610 215s 18 2.523916 -0.923373 -0.03221722 0.3830822 0.208008 -0.5505270 -0.1252648 215s 19 1.990563 1.062648 -1.42038451 -0.3602257 -0.068006 -0.1932744 -0.1197842 215s 20 -0.243938 1.674555 -0.72225359 -0.1475652 -0.397855 -0.5385123 -0.0559660 215s 21 3.354424 -2.001060 -0.22542149 0.3346180 0.032502 -0.0953825 0.1293148 215s 22 1.477177 -0.777534 -0.35362339 0.1224412 0.203208 0.0514382 -0.2166274 215s 23 0.502055 -1.618511 -0.85013853 -0.1298862 -0.144328 -0.1941806 -0.1923681 215s 24 0.900504 -1.227820 -1.07180474 -0.5851197 0.112657 0.0467164 0.0405544 215s 25 4.161393 -1.869015 -1.54507759 0.2003123 -0.152582 -0.1382908 0.0864320 215s 26 1.277795 -1.185179 -1.13445511 0.2771556 -0.101901 0.0070037 -0.1279016 215s 27 3.447256 0.257652 -1.13407954 -0.0077859 0.853002 -0.1376443 -0.1897380 215s 28 -1.695730 -3.781876 -0.72940594 -0.0956421 0.064475 0.3665470 0.0726448 215s 29 -3.923610 -1.654818 -0.16117226 -0.4242302 -0.303749 -0.0209844 0.1723890 215s 30 -0.309616 -1.564739 -0.39909943 0.1657509 -0.178739 -0.0600221 -0.0571706 215s 31 -0.960838 -2.242733 1.50477679 -0.2957897 0.163758 -0.1034399 0.0257903 215s 32 -0.671285 -0.459839 1.39124475 -0.3669914 0.246127 0.2094780 -0.2681284 215s 33 -1.589089 -0.390812 -0.16505762 -0.3992573 0.086870 -0.0402114 -0.0399923 215s 34 -0.421868 0.636139 -0.42563447 -0.2985726 0.311365 0.2398515 -0.0540852 215s 35 1.118429 -2.116328 -0.22329747 -0.4864401 0.289927 -0.0503006 0.0101706 215s 36 -3.660291 -1.630831 -0.57876280 0.1294792 -0.260224 0.0912904 -0.1565668 215s 37 -0.087686 -2.530609 0.50076931 -0.0319873 0.194898 -0.1233526 -0.2494283 215s 38 -1.418620 -2.303011 -0.09405565 -0.0931745 0.169466 0.1581787 0.0850095 215s 39 1.815225 -0.838968 -1.10222194 -0.4897630 0.180933 0.0096330 -0.0600652 215s 40 -3.420975 1.398516 -0.17143314 -0.5852146 0.090464 -0.2066323 -0.2974177 215s 41 -3.462295 -1.795174 -0.17500650 -0.1610267 -0.595086 0.5981680 -1.5930268 215s 42 -6.401429 0.451242 -0.78723149 -0.4285618 0.055395 -0.0212476 0.0808936 215s 43 -2.583017 -0.871790 1.29937081 0.2422349 -0.190002 -0.2822972 -0.2625721 215s 44 -5.027244 -0.167503 -0.02382957 -0.8288929 -0.852207 0.7399343 0.4606076 215s 45 0.364494 -0.440380 -0.07746564 -0.4552133 0.095711 -0.1662998 0.1566706 215s 46 0.420706 -1.880819 -0.82180986 -0.1823454 -0.022661 -0.0304227 -0.0516440 215s 47 -1.932985 -0.120002 4.00934170 0.0930728 0.295428 0.2787446 0.3766231 215s 48 0.395402 -1.021393 1.07953292 -0.4599764 -0.132386 0.1895780 0.2771755 215s 49 2.886100 -0.276587 1.48851137 -0.6314648 -0.203963 -0.0891955 0.1347804 215s 50 -3.255379 2.479232 -0.37933775 -0.3651497 -0.415000 0.0045750 0.0671055 215s 51 1.939333 0.617579 1.57113225 0.0310866 -0.039226 0.0409183 0.1830694 215s 52 5.727154 0.275898 0.58814711 -0.1739820 -0.222791 0.2553797 0.1959402 215s 53 1.207873 0.131451 0.80899235 0.2872465 -0.353544 -0.1697200 -0.0987230 215s 54 0.612921 0.040062 0.17807459 -0.0053074 -0.202244 -0.0671788 0.0530276 215s 55 -0.399075 -0.727144 0.26196635 0.3657576 -0.192705 0.0903564 0.0641289 215s 56 0.240719 0.733792 -0.05030509 0.0967214 -0.186906 0.0310231 -0.0594812 215s 57 1.589641 0.289427 -1.02478822 0.2723190 -0.048378 0.2599262 -0.2040853 215s 58 0.423483 -1.262515 -0.85026016 0.4749963 -0.082647 0.0752412 0.1352259 215s 59 1.983684 1.335122 0.42593757 0.1345894 0.096456 0.1153107 -0.0385994 215s 60 1.770171 0.935428 0.14901569 0.3641973 0.274015 -0.0280119 0.0690244 215s 61 0.182845 1.706453 -0.18364654 0.2517421 -0.035773 0.0357087 -0.1363470 215s 62 -2.191617 1.966324 -0.03573689 -0.2203900 -0.235704 0.1682332 -0.1145174 215s 63 -2.442239 -0.209694 -0.06681921 0.3184048 0.206772 -0.0608468 0.2425649 215s 64 -2.442239 -0.209694 -0.06681921 0.3184048 0.206772 -0.0608468 0.2425649 215s 65 0.407575 2.996346 -0.63021113 -0.1335795 0.087668 0.0627032 0.0486166 215s 66 2.660379 1.322824 0.10122110 0.2420451 0.192938 0.0344019 -0.0771918 215s 67 -0.032273 1.315299 -0.04511689 -0.1293380 -0.025923 -0.1655965 0.1887534 215s 68 1.117637 2.005809 1.97078787 -0.0429209 -0.176568 0.1634287 -0.0916254 215s 69 0.970730 0.837158 0.01621375 0.2347502 -0.071757 -0.2464626 0.2907551 215s 70 -2.688271 -5.335891 -0.64225481 4.1819517 -9.523550 2.0943027 -2.8098426 215s 71 2.428718 1.976051 -0.24749122 0.1308738 0.018276 0.1711292 0.1346284 215s 72 -2.061944 0.405943 0.50472914 0.4393739 -0.056420 -0.0031558 0.2663880 215s 73 2.029606 2.874991 0.68310320 -0.2067254 0.511537 -0.2010371 0.0805608 215s 74 11.293757 0.328931 -3.84783031 -0.4130266 -0.210499 -0.1103148 -0.0381326 215s 75 0.120896 2.287914 0.83639076 -0.2462845 0.551353 0.6629701 0.3789055 215s 76 1.859499 0.422019 1.18435547 0.1546108 0.017266 0.0470615 -0.1071011 215s 77 8.435857 1.147499 -2.19924186 -0.4156770 0.386548 0.0294075 -0.1911399 215s 78 -1.090858 1.311287 0.62897430 0.1727009 0.077341 0.0135972 -0.0096934 215s 79 0.560012 0.623617 0.83727267 0.1680787 0.087477 0.0611949 -0.2588084 215s 80 3.873817 -1.133641 -1.27469019 -0.2717298 -0.165066 0.1696232 0.0635047 215s 81 -0.758664 -0.880260 0.00057124 0.2838720 0.016243 0.1527299 -0.0150514 215s 82 -2.709588 1.464049 -0.12598126 -0.3828567 0.213647 -0.1425385 0.1552827 215s 83 -2.213670 0.059563 0.87565603 0.1255703 -0.082005 0.2189829 -0.2938264 215s 84 -0.242242 -0.483552 2.05089334 -0.0681005 -0.101578 0.1304632 -0.2218093 215s 85 -1.032129 2.375018 -2.19321259 0.2332079 -0.066379 0.1854598 -0.0873859 215s 86 0.015327 -0.948155 1.39530555 0.2701225 -0.268889 0.0578145 0.1608678 215s PC8 215s 1 2.1835e-03 215s 2 1.6801e-03 215s 3 1.6623e-03 215s 4 2.6286e-04 215s 5 9.5884e-04 215s 6 1.4430e-03 215s 7 1.8784e-04 215s 8 6.8473e-04 215s 9 -6.8490e-04 215s 10 1.1565e-04 215s 11 5.6907e-06 215s 12 -1.8395e-03 215s 13 -2.1582e-03 215s 14 -1.6294e-03 215s 15 -1.6964e-03 215s 16 -1.9664e-03 215s 17 -2.2448e-03 215s 18 -6.5884e-04 215s 19 -1.1536e-03 215s 20 2.6887e-04 215s 21 3.3199e-05 215s 22 1.1170e-04 215s 23 -1.7617e-04 215s 24 -2.1577e-04 215s 25 -6.1495e-04 215s 26 -7.2903e-04 215s 27 -6.8773e-04 215s 28 -2.0742e-04 215s 29 -2.6937e-04 215s 30 -6.7472e-05 215s 31 -1.3222e-04 215s 32 -1.6516e-04 215s 33 -1.8836e-04 215s 34 -1.1273e-04 215s 35 3.0703e-05 215s 36 -3.0311e-04 215s 37 -1.9380e-04 215s 38 5.5526e-04 215s 39 4.1987e-04 215s 40 8.4807e-05 215s 41 8.8725e-04 215s 42 -6.5647e-04 215s 43 4.3202e-04 215s 44 -5.3330e-04 215s 45 8.9161e-04 215s 46 1.1588e-03 215s 47 -1.2714e-03 215s 48 -4.0376e-04 215s 49 4.1280e-06 215s 50 3.0116e-04 215s 51 5.8510e-05 215s 52 3.3236e-04 215s 53 4.0982e-04 215s 54 4.0428e-04 215s 55 6.1600e-04 215s 56 -4.0496e-05 215s 57 -1.8342e-04 215s 58 -1.6748e-04 215s 59 -1.0894e-03 215s 60 -2.6876e-04 215s 61 -5.8951e-05 215s 62 -1.5517e-04 215s 63 -7.9933e-04 215s 64 -7.9933e-04 215s 65 2.2592e-05 215s 66 2.4984e-05 215s 67 -2.2714e-04 215s 68 -3.3991e-04 215s 69 -3.0375e-04 215s 70 3.4033e-03 215s 71 2.3288e-05 215s 72 -3.4126e-04 215s 73 2.5528e-04 215s 74 2.2760e-03 215s 75 -2.8985e-04 215s 76 7.9077e-04 215s 77 9.4636e-04 215s 78 4.9099e-04 215s 79 3.0501e-04 215s 80 6.5280e-04 215s 81 -3.6570e-04 215s 82 4.9966e-04 215s 83 -4.3245e-04 215s 84 -4.6152e-04 215s 85 7.4691e-04 215s 86 -6.1103e-04 215s ------------- 215s Call: 215s PcaHubert(x = x, k = p) 215s 215s Standard deviations: 215s [1] 2.39577535 1.55089079 0.92557331 0.33680677 0.19792033 0.17855133 0.16041702 215s [8] 0.00054179 215s ---------------------------------------------------------- 215s bushfire 38 5 5 31248.552973 358.974577 215s Scores: 215s PC1 PC2 PC3 PC4 PC5 215s 1 155.972 1.08098 -23.31135 -1.93015 1.218941 215s 2 157.738 0.35648 -20.95658 -2.42375 0.466415 215s 3 150.667 2.12545 -16.20395 -2.00140 -0.582924 215s 4 133.892 5.25124 -15.88873 -2.78469 -0.275261 215s 5 102.462 13.00611 -21.54096 -4.69409 -0.944176 215s 6 77.694 18.75377 -28.71865 -6.44244 0.446350 215s 7 286.266 -11.36184 -98.67134 10.95233 -3.625338 215s 8 326.627 29.92767 -112.60824 -29.26330 -13.710094 215s 9 327.898 32.39553 -113.34314 -31.65905 -13.830781 215s 10 325.131 5.81628 -105.58927 -13.45695 -8.987971 215s 11 326.458 -7.84562 -94.25242 -6.11547 -8.572845 215s 12 333.171 -37.69907 -50.89207 8.98187 -1.742979 215s 13 279.789 -40.78415 -8.06209 7.65884 0.181748 215s 14 37.714 10.54231 13.46530 -1.55051 2.102662 215s 15 -90.034 34.68964 18.98186 0.69260 0.417573 215s 16 -46.492 23.65086 10.07282 4.36090 -0.748517 215s 17 -43.990 20.36443 9.61049 2.83084 -0.127983 215s 18 -32.938 19.11199 2.64850 2.92879 -1.473988 215s 19 -36.555 20.60142 2.01879 0.63832 -1.235075 215s 20 -46.837 19.89630 6.65142 0.89120 0.271108 215s 21 -28.670 15.29534 6.59311 3.29638 0.402194 215s 22 -20.331 15.06559 7.33721 2.16591 2.006327 215s 23 108.644 -7.92707 -1.45130 6.27388 0.356715 215s 24 163.697 -16.15568 0.61663 4.24231 0.464415 215s 25 100.471 -0.30739 0.87762 2.86452 -0.692735 215s 26 106.922 0.90864 -1.91436 2.54557 -0.565023 215s 27 121.966 -3.29641 4.85626 -0.47676 -0.490047 215s 28 98.650 -4.51455 16.64160 -3.08996 -0.839397 215s 29 88.795 -10.85457 30.46708 -5.37360 0.315657 215s 30 142.981 -27.89100 22.40713 -1.67126 -0.680158 215s 31 14.125 -21.60028 29.80480 -8.25272 -0.019693 215s 32 -244.044 -11.76430 24.53390 -12.52294 2.022312 215s 33 -283.842 -13.21931 -6.23565 -2.63367 -0.080728 215s 34 -280.168 -13.41903 -7.69318 -1.24571 -0.722513 215s 35 -285.666 -13.78452 -6.50318 -1.23756 1.074669 215s 36 -282.938 -13.82281 -7.63902 0.20435 -0.971673 215s 37 -281.129 -16.20408 -8.57154 1.85797 0.234486 215s 38 -282.589 -16.91969 -8.36010 2.35589 0.490630 215s ------------- 215s Call: 215s PcaHubert(x = x, k = p) 215s 215s Standard deviations: 215s [1] 176.77260 18.94662 16.21701 3.95755 0.92761 215s ---------------------------------------------------------- 215s ========================================================== 215s > dodata(method="hubert") 215s 215s Call: dodata(method = "hubert") 215s Data Set n p k e1 e2 215s ========================================================== 215s heart 12 2 1 315.227002 NA 215s Scores: 215s PC1 215s 1 13.2197 215s 2 69.9817 215s 3 6.6946 215s 4 2.8899 215s 5 24.9956 215s 6 -8.9203 215s 7 12.0121 215s 8 -24.1915 215s 9 4.2721 215s 10 -22.8289 215s 11 -8.1433 215s 12 54.6519 215s ------------- 215s Call: 215s PcaHubert(x = x, mcd = FALSE) 215s 215s Standard deviations: 215s [1] 17.755 215s ---------------------------------------------------------- 215s starsCYG 47 2 1 0.308922 NA 215s Scores: 215s PC1 215s 1 0.224695 215s 2 0.758653 215s 3 -0.089113 215s 4 0.758653 215s 5 0.173934 215s 6 0.466195 215s 7 -0.433154 215s 8 0.296411 215s 9 0.542517 215s 10 0.116133 215s 11 0.576303 215s 12 0.451490 215s 13 0.429942 215s 14 -0.997904 215s 15 -0.745515 215s 16 -0.408745 215s 17 -1.071002 215s 18 -0.803514 215s 19 -0.834141 215s 20 0.734210 215s 21 -0.627085 215s 22 -0.784992 215s 23 -0.566652 215s 24 -0.130992 215s 25 0.019053 215s 26 -0.329791 215s 27 -0.350747 215s 28 -0.099378 215s 29 -0.628499 215s 30 0.890506 215s 31 -0.573100 215s 32 0.127022 215s 33 0.227721 215s 34 1.128979 215s 35 -0.676234 215s 36 0.649894 215s 37 0.122186 215s 38 0.227721 215s 39 0.201140 215s 40 0.569920 215s 41 -0.375716 215s 42 0.069814 215s 43 0.354212 215s 44 0.346152 215s 45 0.559656 215s 46 -0.009140 215s 47 -0.487699 215s ------------- 215s Call: 215s PcaHubert(x = x, mcd = FALSE) 215s 215s Standard deviations: 215s [1] 0.55581 215s ---------------------------------------------------------- 215s phosphor 18 2 1 215.172048 NA 215s Scores: 215s PC1 215s 1 1.12634 215s 2 -22.10340 215s 3 -23.49216 215s 4 -13.45927 215s 5 -18.60808 215s 6 11.24086 215s 7 -0.14748 215s 8 -9.77075 215s 9 -10.37022 215s 10 12.71798 215s 11 -4.61857 215s 12 10.07037 215s 13 13.16767 215s 14 7.57254 215s 15 17.81362 215s 16 -11.08799 215s 17 21.70358 215s 18 18.24496 215s ------------- 215s Call: 215s PcaHubert(x = x, mcd = FALSE) 215s 215s Standard deviations: 215s [1] 14.669 215s ---------------------------------------------------------- 215s stackloss 21 3 2 77.038636 18.859777 215s Scores: 215s PC1 PC2 215s 1 -20.334936 10.28081 215s 2 -19.772121 11.10736 215s 3 -16.461573 6.43794 215s 4 -4.258672 1.73213 215s 5 -3.773146 1.41928 215s 6 -4.015909 1.57571 215s 7 -7.635560 -3.22715 215s 8 -7.635560 -3.22715 215s 9 -0.855388 -0.58707 215s 10 4.298129 4.41664 215s 11 -0.767202 -3.02229 215s 12 0.038375 -2.35217 215s 13 3.172500 2.76354 215s 14 -3.261224 -6.17206 215s 15 5.553840 -7.34784 215s 16 7.242284 -4.86820 215s 17 14.878925 6.85989 215s 18 10.939223 1.07406 215s 19 10.133645 0.40394 215s 20 4.267234 1.99501 215s 21 -11.859921 2.12579 215s ------------- 215s Call: 215s PcaHubert(x = x, mcd = FALSE) 215s 215s Standard deviations: 215s [1] 8.7772 4.3428 215s ---------------------------------------------------------- 216s salinity 28 3 2 8.001175 5.858089 216s Scores: 216s PC1 PC2 216s 1 2.858444 1.04359 216s 2 3.807704 1.55974 216s 3 6.220733 -4.32114 216s 4 6.388841 -2.83649 216s 5 6.077450 -3.70092 216s 6 5.974494 -0.67230 216s 7 4.531584 0.78322 216s 8 2.725849 2.41297 216s 9 0.100501 -2.13615 216s 10 -2.358003 -1.49718 216s 11 -1.317688 -1.15391 216s 12 0.434635 0.58230 216s 13 0.116019 1.79022 216s 14 -1.771501 2.71749 216s 15 -2.630757 -2.44003 216s 16 2.289743 -5.51829 216s 17 0.637985 -1.26452 216s 18 3.076147 0.19883 216s 19 0.097381 -1.95868 216s 20 -1.572471 -0.93003 216s 21 -1.284185 2.21858 216s 22 -2.531713 3.30313 216s 23 -3.865359 -3.01230 216s 24 -2.143461 -2.41918 216s 25 -0.714414 -0.41227 216s 26 -1.327781 1.18373 216s 27 -2.201166 2.41566 216s 28 -2.931988 3.20536 216s ------------- 216s Call: 216s PcaHubert(x = x, mcd = FALSE) 216s 216s Standard deviations: 216s [1] 2.8286 2.4203 216s ---------------------------------------------------------- 216s hbk 75 3 3 1.459908 1.201048 216s Scores: 216s PC1 PC2 PC3 216s 1 31.105415 -4.714217 -10.4566165 216s 2 31.707650 -5.748724 -10.7682402 216s 3 33.366131 -4.625897 -12.1570167 216s 4 34.173377 -6.069657 -12.4466895 216s 5 33.780418 -5.508823 -11.9872893 216s 6 32.493478 -4.684595 -10.5679819 216s 7 32.592637 -5.235522 -10.3765493 216s 8 31.293363 -4.865797 -10.9379676 216s 9 33.160964 -5.714260 -12.3098920 216s 10 31.919786 -5.384537 -12.3374332 216s 11 38.231962 -6.810641 -13.5994385 216s 12 39.290479 -5.393906 -15.2942554 216s 13 39.418445 -7.326461 -11.5194898 216s 14 43.906584 -13.214819 -8.3282743 216s 15 1.906326 0.716061 0.8635112 216s 16 0.263255 0.926016 1.9009292 216s 17 -1.776489 -1.072332 0.5496140 216s 18 0.464648 0.702441 -0.0482897 216s 19 0.267826 -1.283779 0.2925812 216s 20 2.122108 0.165970 0.8924686 216s 21 0.937217 0.548532 0.4132196 216s 22 0.423273 -1.781869 0.0323061 216s 23 0.047532 0.018909 1.1259327 216s 24 -0.490041 -0.520202 1.1065753 216s 25 -2.143049 0.720869 0.0495474 216s 26 1.094748 -1.459175 -0.2226246 216s 27 2.070705 0.898573 -0.0023229 216s 28 -0.294998 0.830258 -0.5929001 216s 29 -1.242995 0.300216 0.2010507 216s 30 0.147958 0.439099 -2.0003038 216s 31 0.170818 1.440946 0.9755627 216s 32 -0.958531 -1.199730 1.0129867 216s 33 0.697307 -0.874343 0.7260649 216s 34 -2.278946 0.261106 -0.4196544 216s 35 1.962829 0.809318 -0.2033113 216s 36 0.626631 -0.600666 -0.8004036 216s 37 0.550885 -1.881448 -0.7382776 216s 38 -1.249717 0.336214 0.9349845 216s 39 -1.106696 1.569418 -0.1869576 216s 40 -0.684034 -0.939963 0.1034965 216s 41 1.559314 1.551408 -0.3660323 216s 42 -0.538741 -0.447358 -1.6361099 216s 43 -0.252685 -2.080564 0.7765259 216s 44 0.217012 1.027281 -1.7015154 216s 45 -1.497600 1.349234 0.2698932 216s 46 0.100388 1.026443 -1.5390401 216s 47 -0.811117 2.195271 0.5208141 216s 48 1.462210 1.321318 -0.5600144 216s 49 1.383976 0.740714 0.7348906 216s 50 1.636773 -0.215464 -0.3195369 216s 51 -0.530918 0.759743 1.2069247 216s 52 -0.109566 2.107455 0.5315473 216s 53 -0.564334 -0.060847 -2.3910630 216s 54 -0.272234 -1.122711 1.5060028 216s 55 -0.608660 -1.197219 0.5255609 216s 56 0.565430 -0.710345 1.3708230 216s 57 -1.115629 0.888816 0.4186014 216s 58 1.351288 -0.374815 1.1980618 216s 59 0.998016 -0.151228 -0.9007970 216s 60 0.124017 -0.764846 -1.9005963 216s 61 1.189858 -1.905264 -0.7721322 216s 62 -2.190589 0.579614 0.1377914 216s 63 -0.518278 -0.931130 1.4534768 216s 64 2.124566 0.194391 0.0327092 216s 65 0.154218 1.050861 -1.1309885 216s 66 -1.197852 -1.044147 0.2265269 216s 67 -0.114174 -0.094763 0.5168926 216s 68 -2.201115 0.032271 -0.8573493 216s 69 -1.307843 1.104815 0.7741270 216s 70 0.691449 -0.676665 -1.0004603 216s 71 1.150975 0.050861 0.0717068 216s 72 -0.457293 -0.861871 -0.1026350 216s 73 -0.392258 -0.897451 -0.9178065 216s 74 -0.584658 -1.450471 -0.3201857 216s 75 -0.972517 -0.063777 -1.8223995 216s ------------- 216s Call: 216s PcaHubert(x = x, mcd = FALSE) 216s 216s Standard deviations: 216s [1] 1.2083 1.0959 1.0168 216s ---------------------------------------------------------- 216s milk 86 8 2 6.040806 2.473780 216s Scores: 216s PC1 PC2 216s 1 -5.768003 -0.9174359 216s 2 -6.664422 0.0280812 216s 3 -0.484521 1.7923710 216s 4 -5.211590 2.0747301 216s 5 1.422641 -0.3268437 216s 6 -1.810360 -0.5469828 216s 7 -2.402924 -0.1987041 216s 8 -2.553389 -0.4963662 216s 9 1.583399 2.5410448 216s 10 3.267946 0.9141367 216s 11 9.924771 0.6501301 216s 12 13.628569 -2.3009846 216s 13 10.774550 -1.1628697 216s 14 12.716376 -1.0670330 216s 15 11.176408 0.7403371 216s 16 3.209269 -0.0804317 216s 17 1.256577 2.8931153 216s 18 2.468720 -1.2008647 216s 19 2.253229 0.8379608 216s 20 0.021073 1.6394221 216s 21 3.205298 -2.3518286 216s 22 1.470733 -0.9618655 216s 23 0.475732 -1.7044535 216s 24 0.930144 -1.3288398 216s 25 4.151553 -2.2882554 216s 26 1.314488 -1.3527439 216s 27 3.613405 -0.0813605 216s 28 -1.909178 -3.6473200 216s 29 -3.987263 -1.3255834 216s 30 -0.370601 -1.5855086 216s 31 -1.273254 -2.1892809 216s 32 -0.816634 -0.4514478 216s 33 -1.553394 -0.2792004 216s 34 -0.275027 0.6359374 216s 35 0.980782 -2.2353223 216s 36 -3.678470 -1.3459182 216s 37 -0.327102 -2.5615283 216s 38 -1.563492 -2.2008288 216s 39 1.876146 -1.0292641 216s 40 -3.204182 1.6694332 216s 41 -3.561892 -1.5844770 216s 42 -6.175135 1.0123714 216s 43 -2.736601 -0.7040261 216s 44 -4.981783 0.2434304 216s 45 0.368802 -0.5011413 216s 46 0.369508 -1.9511091 216s 47 -2.306673 -0.0089446 216s 48 0.215195 -1.1000357 216s 49 2.704678 -0.5919929 216s 50 -2.930879 2.7161936 216s 51 1.846250 0.3732500 216s 52 5.661288 -0.3139157 216s 53 1.154929 -0.0575094 216s 54 0.625715 -0.0733934 216s 55 -0.453714 -0.7535924 216s 56 0.343722 0.6460318 216s 57 1.743002 0.0794685 216s 58 0.433705 -1.3500731 216s 59 2.078550 1.0860506 216s 60 1.867913 0.7162287 216s 61 0.392645 1.6184583 216s 62 -1.958732 2.0993596 216s 63 -2.383251 -0.0253919 216s 64 -2.383251 -0.0253919 216s 65 0.780239 2.9018927 216s 66 2.785329 1.0142893 216s 67 0.131210 1.2703167 216s 68 1.110073 1.8140467 216s 69 1.076878 0.6954148 216s 70 -3.260160 -5.6233069 216s 71 2.647036 1.6892084 216s 72 -2.017340 0.5353349 216s 73 2.247524 2.6406249 216s 74 11.649291 -0.7374197 216s 75 0.280544 2.2306959 216s 76 1.791213 0.1796005 216s 77 8.730344 0.3412271 216s 78 -0.987405 1.3467910 216s 79 0.560808 0.5006661 216s 80 3.897879 -1.5270179 216s 81 -0.792759 -0.8649399 216s 82 -2.493611 1.6796838 216s 83 -2.245966 0.1889555 216s 84 -0.468812 -0.5359088 216s 85 -0.538372 2.4105954 216s 86 -0.185347 -1.0176989 216s ------------- 216s Call: 216s PcaHubert(x = x, mcd = FALSE) 216s 216s Standard deviations: 216s [1] 2.4578 1.5728 216s ---------------------------------------------------------- 216s bushfire 38 5 1 38435.075910 NA 216s Scores: 216s PC1 216s 1 -111.9345 216s 2 -113.4128 216s 3 -105.8364 216s 4 -89.1684 216s 5 -58.7216 216s 6 -35.0370 216s 7 -250.2123 216s 8 -292.6877 216s 9 -294.0765 216s 10 -290.0193 216s 11 -289.8168 216s 12 -290.8645 216s 13 -232.6865 216s 14 9.8483 216s 15 137.1924 216s 16 92.9804 216s 17 90.4493 216s 18 78.6325 216s 19 82.1178 216s 20 92.9044 216s 21 74.9157 216s 22 66.7350 216s 23 -62.1981 216s 24 -116.5696 216s 25 -53.8907 216s 26 -60.6384 216s 27 -74.7621 216s 28 -50.2202 216s 29 -38.7483 216s 30 -93.3887 216s 31 35.3096 216s 32 290.8493 216s 33 326.7236 216s 34 322.9095 216s 35 328.5307 216s 36 325.6791 216s 37 323.8136 216s 38 325.2991 216s ------------- 216s Call: 216s PcaHubert(x = x, mcd = FALSE) 216s 216s Standard deviations: 216s [1] 196.05 216s ---------------------------------------------------------- 216s ========================================================== 216s > 216s > dodata(method="locantore") 216s 216s Call: dodata(method = "locantore") 216s Data Set n p k e1 e2 216s ========================================================== 216s heart 12 2 2 1.835912 0.084745 216s Scores: 216s PC1 PC2 216s [1,] 7.3042 1.745289 216s [2,] 64.6474 0.164425 216s [3,] 1.1057 -1.404189 216s [4,] -3.1943 2.565728 216s [5,] 19.4154 -0.401369 216s [6,] -15.5709 6.666752 216s [7,] 5.9980 2.509372 216s [8,] -29.5933 -4.805972 216s [9,] -1.3933 -0.899323 216s [10,] -28.2845 -4.270057 216s [11,] -14.0069 0.048311 216s [12,] 49.1484 0.694598 216s ------------- 216s Call: 216s PcaLocantore(x = x) 216s 216s Standard deviations: 216s [1] 1.35496 0.29111 216s ---------------------------------------------------------- 216s starsCYG 47 2 2 0.779919 0.050341 216s Scores: 216s PC1 PC2 216s [1,] 0.174291 -0.0489127 216s [2,] 0.703776 0.0769650 216s [3,] -0.136954 -0.1212071 216s [4,] 0.703776 0.0769650 216s [5,] 0.125991 -0.1134658 216s [6,] 0.413609 0.0121367 216s [7,] -0.466451 -0.5036094 216s [8,] 0.238569 0.1446547 216s [9,] 0.498194 -0.1998666 216s [10,] 0.065125 -0.0353931 216s [11,] 0.562344 -0.9836936 216s [12,] 0.399997 -0.0164068 216s [13,] 0.376370 0.0369013 216s [14,] -1.041009 -0.2611550 216s [15,] -0.798187 -0.0090880 216s [16,] -0.464636 0.0805967 216s [17,] -1.123135 -0.0293034 216s [18,] -0.861603 0.1297588 216s [19,] -0.884955 -0.0588007 216s [20,] 0.721130 -1.0033585 216s [21,] -0.679097 -0.0238366 216s [22,] -0.837884 -0.0041718 216s [23,] -0.623423 0.1002615 216s [24,] -0.188079 0.1168815 216s [25,] -0.032888 -0.0131784 216s [26,] -0.385242 0.0707643 216s [27,] -0.401220 -0.0582501 216s [28,] -0.151978 0.0015702 216s [29,] -0.677776 -0.0945350 216s [30,] 0.878688 -1.0329475 216s [31,] -0.628339 0.0605648 216s [32,] 0.068629 0.1556245 216s [33,] 0.174199 0.0317098 216s [34,] 1.118098 -1.0525206 216s [35,] -0.726168 -0.0784655 216s [36,] 0.592061 0.1512588 216s [37,] 0.064942 0.1258519 216s [38,] 0.174199 0.0317098 216s [39,] 0.144335 0.1160195 216s [40,] 0.519088 -0.0311555 216s [41,] -0.429855 0.0359837 216s [42,] 0.015412 0.0513747 216s [43,] 0.299435 0.0665821 216s [44,] 0.293289 0.0169612 216s [45,] 0.504064 0.0916219 216s [46,] -0.063981 0.0612071 216s [47,] -0.544029 0.0904291 216s ------------- 216s Call: 216s PcaLocantore(x = x) 216s 216s Standard deviations: 216s [1] 0.88313 0.22437 216s ---------------------------------------------------------- 216s phosphor 18 2 2 0.933905 0.279651 216s Scores: 216s PC1 PC2 216s 1 4.5660 -15.58981 216s 2 -21.2978 -0.38905 216s 3 -23.3783 3.96546 216s 4 -11.7131 -5.79023 216s 5 -18.2569 2.81141 216s 6 15.5702 -20.54935 216s 7 1.3671 -3.27043 216s 8 -9.4859 3.92005 216s 9 -10.4501 6.22662 216s 10 15.0583 -7.60532 216s 11 -3.9078 1.56960 216s 12 10.0330 7.52732 216s 13 13.4815 5.50056 216s 14 7.5487 7.24752 216s 15 18.6543 2.46040 216s 16 -9.3301 -5.68285 216s 17 22.2533 4.63689 216s 18 17.7892 10.85633 216s ------------- 216s Call: 216s PcaLocantore(x = x) 216s 216s Standard deviations: 216s [1] 0.96639 0.52882 216s ---------------------------------------------------------- 216s stackloss 21 3 3 1.137747 0.196704 216s Scores: 216s PC1 PC2 PC3 216s [1,] 19.98046 -6.20875 -3.93576 216s [2,] 19.57014 -7.11509 -4.03666 216s [3,] 15.48729 -3.14247 -3.29600 216s [4,] 3.12341 -1.38969 1.50633 216s [5,] 2.35380 -0.84492 -0.25745 216s [6,] 2.73860 -1.11731 0.62444 216s [7,] 5.58533 4.04837 2.11170 216s [8,] 5.58533 4.04837 2.11170 216s [9,] -0.56851 0.17483 2.46656 216s [10,] -5.36478 -4.80766 -2.64915 216s [11,] -1.67190 3.34943 -1.74110 216s [12,] -2.46702 2.71547 -2.72389 216s [13,] -4.54414 -2.99497 -2.44736 216s [14,] 0.35419 6.70241 -0.45563 216s [15,] -8.28612 5.93369 1.94314 216s [16,] -9.51708 3.21466 1.64046 216s [17,] -14.87676 -9.74652 1.10983 216s [18,] -12.00452 -3.40212 1.81609 216s [19,] -11.20939 -2.76816 2.79887 216s [20,] -5.42808 -2.89367 0.23748 216s [21,] 9.83969 0.74095 -5.30190 216s ------------- 216s Call: 216s PcaLocantore(x = x) 216s 216s Standard deviations: 216s [1] 1.06665 0.44351 0.33935 216s ---------------------------------------------------------- 216s salinity 28 3 3 1.038873 0.621380 216s Scores: 216s PC1 PC2 PC3 216s 1 -2.7215590 -0.98924 0.3594538 216s 2 -3.6251829 -1.03361 1.4973993 216s 3 -6.0588883 4.23861 -1.1012038 216s 4 -6.2741857 2.42372 -1.4875092 216s 5 -5.7274076 5.42190 2.9332011 216s 6 -5.8431892 0.57161 -0.3385363 216s 7 -4.4051377 -0.83292 0.0851817 216s 8 -2.6155827 -2.50739 0.3386166 216s 9 -0.0426575 1.19631 -2.5025726 216s 10 2.5297488 1.65029 -0.0110335 216s 11 1.5528097 1.93255 1.4216262 216s 12 -0.3140451 -0.73269 -0.1961364 216s 13 0.0010783 -1.88658 0.1849912 216s 14 1.9554303 -2.13519 1.8471356 216s 15 2.7897250 2.40211 -0.6327944 216s 16 -1.7665706 8.69449 5.6608836 216s 17 -0.4374125 1.72696 0.7230753 216s 18 -2.9752196 -0.54118 -0.6829760 216s 19 -0.0599346 0.84127 -2.8473543 216s 20 1.6597909 0.34191 -1.4847516 216s 21 1.3857395 -2.43924 0.0039271 216s 22 2.6664754 -3.14291 1.0600254 216s 23 4.1202067 3.81886 1.0608640 216s 24 2.4163743 3.45141 1.6874099 216s 25 0.8493897 0.31424 -0.3073115 216s 26 1.4216265 -1.55310 -0.5455012 216s 27 2.3021676 -2.63392 0.0481451 216s 28 3.0877115 -2.85951 1.4378956 216s ------------- 216s Call: 216s PcaLocantore(x = x) 216s 216s Standard deviations: 216s [1] 1.01925 0.78828 0.36470 216s ---------------------------------------------------------- 216s hbk 75 3 3 1.038833 0.363386 216s Scores: 216s PC1 PC2 PC3 216s 1 32.393698 -3.4318297 0.051248 216s 2 33.103072 -4.4154651 0.294662 216s 3 35.038965 -3.5996035 -0.940929 216s 4 35.955809 -4.9285404 -0.479059 216s 5 35.424918 -4.3076292 -0.366699 216s 6 33.753497 -3.2463136 0.289013 216s 7 33.817375 -3.6819421 0.684167 216s 8 32.717119 -3.7074394 -0.279567 216s 9 34.932190 -4.6939061 -0.738196 216s 10 33.737339 -4.5702346 -1.193206 216s 11 40.202273 -5.4336890 -0.229323 216s 12 41.638189 -4.5304173 -1.996311 216s 13 40.768565 -5.0531048 2.123222 216s 14 44.408749 -8.8448536 8.236462 216s 15 0.977343 1.3057899 0.938694 216s 16 -0.900390 1.6169842 1.382855 216s 17 -2.384467 -0.9835430 0.375495 216s 18 -0.143306 0.7859701 -0.237712 216s 19 -0.344479 -0.9791245 0.733869 216s 20 1.199115 0.8330752 1.216827 216s 21 0.184475 0.8630593 0.351029 216s 22 -0.100389 -1.5084406 0.718236 216s 23 -0.847925 0.4823829 0.958677 216s 24 -1.334366 -0.1021190 1.000300 216s 25 -2.669352 0.4692990 -0.811134 216s 26 0.601538 -1.1984283 0.541627 216s 27 1.373423 1.2098621 0.136249 216s 28 -0.721268 0.6164612 -0.963817 216s 29 -1.832615 0.2543279 -0.297658 216s 30 0.120086 -0.1558590 -1.976558 216s 31 -0.747437 1.7749106 0.342824 216s 32 -1.727558 -0.8325772 1.043088 216s 33 -0.073907 -0.3923823 1.083904 216s 34 -2.646454 -0.1350138 -1.101448 216s 35 1.331096 1.0443905 -0.039328 216s 36 0.281192 -0.6569943 -0.404009 216s 37 0.245349 -1.8406517 0.093656 216s 38 -2.049446 0.5320301 0.347219 216s 39 -1.645547 1.3268749 -1.068792 216s 40 -1.216874 -0.8556007 0.201262 216s 41 0.959445 1.6250030 -0.553881 216s 42 -0.603579 -0.9569812 -1.502730 216s 43 -0.946870 -1.6333180 1.324763 216s 44 0.076217 0.5018427 -1.902369 216s 45 -2.140584 1.2192726 -0.677180 216s 46 -0.081677 0.5389288 -1.785347 216s 47 -1.590461 2.1881067 -0.583771 216s 48 0.931421 1.3321181 -0.669782 216s 49 0.512639 1.2123979 0.683099 216s 50 1.095415 0.0045968 0.143109 216s 51 -1.456417 1.1186245 0.619657 216s 52 -0.917904 2.2084467 -0.366392 216s 53 -0.429654 -0.8524437 -2.326637 216s 54 -1.213858 -0.4996891 1.630709 216s 55 -1.253877 -0.9438354 0.692022 216s 56 -0.390657 -0.0427482 1.571167 216s 57 -1.797537 0.8934866 -0.281980 216s 58 0.396886 0.3227454 1.492494 216s 59 0.646360 -0.2194210 -0.562699 216s 60 0.119900 -1.2480691 -1.459763 216s 61 0.867946 -1.7843458 0.232229 216s 62 -2.733997 0.3604288 -0.692947 216s 63 -1.442683 -0.3732483 1.452800 216s 64 1.444934 0.5727959 0.434633 216s 65 -0.147284 0.7055205 -1.413940 216s 66 -1.739552 -0.9838385 0.220303 216s 67 -0.824644 0.1503195 0.411693 216s 68 -2.437638 -0.4835278 -1.392882 216s 69 -2.091970 1.1865192 -0.088483 216s 70 0.403429 -0.7855276 -0.540161 216s 71 0.507512 0.3152001 0.276885 216s 72 -0.944376 -0.8197825 0.044859 216s 73 -0.648597 -1.1160277 -0.658528 216s 74 -0.979453 -1.4589411 0.029182 216s 75 -0.982282 -0.7226425 -1.917060 216s ------------- 216s Call: 216s PcaLocantore(x = x) 216s 216s Standard deviations: 216s [1] 1.01923 0.60282 0.46137 216s ---------------------------------------------------------- 216s milk 86 8 8 1.175171 0.426506 216s Scores: 216s PC1 PC2 PC3 PC4 PC5 PC6 216s [1,] 6.1907998 0.58762698 0.686510 -0.209679 0.3321757 -1.3424985 216s [2,] 7.0503894 -0.49576086 -0.322697 -0.767415 -0.0165833 -1.4596064 216s [3,] 0.7670594 -1.83556812 0.468814 0.346810 -0.0204610 -0.2115383 216s [4,] 5.4656748 -2.29797862 1.612819 -0.378295 -0.2050232 0.3486957 216s [5,] -1.0291160 0.37303007 0.634604 -0.521527 -0.3299543 0.0859469 216s [6,] 2.2186300 0.39396818 -0.236987 -0.033975 -0.2549238 0.2541221 216s [7,] 2.7938591 -0.01152811 -0.600546 -0.098564 -0.3906602 0.3798516 216s [8,] 2.9544176 0.32646226 0.273051 -0.275073 -0.3982959 0.2377581 216s [9,] -1.3344639 -2.45440308 1.001792 -0.104783 -0.1744718 -0.0887272 216s [10,] -2.9294174 -0.79860558 -0.260533 0.375330 0.3425169 -0.2056682 216s [11,] -9.5810648 -0.09577968 1.565111 -0.112002 0.3143032 -0.3190238 216s [12,] -13.1147240 2.95665890 0.228086 -0.180867 0.0136463 -0.4604390 216s [13,] -10.2989319 1.53220781 -2.244629 0.323950 -0.0398642 -0.3463501 216s [14,] -12.2553418 1.62281167 -0.472862 -0.212983 -0.4124280 -0.4253719 216s [15,] -10.8346894 -0.09781844 2.134079 -0.272304 -0.1090226 -0.3725738 216s [16,] -2.8358474 0.28109809 0.945309 0.603249 0.1615955 0.1762086 216s [17,] -1.0353408 -2.75475311 1.677879 0.598578 0.0078965 0.0228522 216s [18,] -2.0271810 1.25894451 -0.266038 -0.168565 -0.3000200 0.2891774 216s [19,] -1.9279394 -0.68339726 1.264416 0.186749 0.3018226 -0.0869321 216s [20,] 0.2568334 -1.62632029 0.854279 -0.088175 0.5458645 0.2217019 216s [21,] -2.7017404 2.45223507 -0.243639 -0.211402 -0.2102323 0.2140100 216s [22,] -1.0386097 0.99459030 0.188462 -0.033434 -0.2857078 -0.1438517 216s [23,] -0.0198126 1.73285416 0.761979 0.005501 0.1671992 -0.0375468 216s [24,] -0.4909448 1.40982693 0.967440 0.521275 0.1625359 -0.0892501 216s [25,] -3.6632699 2.51414455 0.966410 -0.272694 0.0467958 0.1572715 216s [26,] -0.8733564 1.42247465 0.946038 -0.338985 -0.0804141 -0.0080759 216s [27,] -3.2254798 0.26912538 0.799468 0.372442 -0.6886191 -0.0553515 216s [28,] 2.4675785 3.56128696 0.813964 0.118354 -0.1677073 -0.0303774 216s [29,] 4.4177264 1.13316321 0.613509 0.261488 0.4229929 0.1780620 216s [30,] 0.8240097 1.54163297 0.398148 -0.221825 0.0309586 0.0830110 216s [31,] 1.7735990 2.00615332 -1.399933 0.469158 -0.0740282 0.0692312 216s [32,] 1.2348922 0.28918604 -1.239899 0.470999 -0.1511519 -0.3692504 216s [33,] 1.9407276 0.19123540 0.406623 0.389965 0.0994854 -0.0204286 216s [34,] 0.6225565 -0.65636700 0.565253 0.369897 -0.1612501 -0.1774611 216s [35,] -0.4869219 2.26301333 0.071825 0.588101 -0.0579092 -0.0362009 216s [36,] 4.1117242 1.16638974 0.982790 -0.266009 0.0728797 -0.0018914 216s [37,] 0.8415225 2.46677043 -0.526780 0.167456 -0.2370116 -0.0731483 216s [38,] 2.0528334 2.09648023 0.220912 0.206722 -0.1924842 0.0676382 216s [39,] -1.4493644 1.14916103 0.904194 0.455498 0.0678893 -0.1476540 216s [40,] 3.4867792 -1.82367389 0.730183 0.499859 0.2327704 -0.1518819 216s [41,] 4.0222120 1.34765470 0.580852 -0.453301 0.2482908 -1.5306566 216s [42,] 6.4789035 -1.25599522 1.644194 0.381331 0.1699942 0.1847594 216s [43,] 3.1529354 0.44884526 -0.967114 -0.220364 0.0037036 0.0802727 216s [44,] 5.3344976 -0.47975673 0.642789 0.298705 0.9983145 -0.1310548 216s [45,] 0.0325597 0.49900084 0.076948 0.486521 0.1642679 0.1392696 216s [46,] 0.1014401 1.97657735 0.733879 0.127235 0.0650844 -0.0144271 216s [47,] 2.7217685 -0.37859042 -3.696163 0.355401 -0.4123714 0.2114024 216s [48,] 0.2292225 1.01473918 -1.115726 0.434557 0.2668316 0.0103147 216s [49,] -2.2803784 0.59474034 -1.783003 0.549252 0.4660435 -0.0802352 216s [50,] 3.1560404 -2.84820361 0.913015 0.077151 0.5803961 0.0350246 216s [51,] -1.4680905 -0.43078891 -1.733657 0.074684 0.0026718 0.0819023 216s [52,] -5.2469034 0.48385240 -1.246027 0.081379 0.2380924 -0.1663831 216s [53,] -0.7670982 0.00234561 -0.923030 -0.366820 0.1582141 0.0508747 216s [54,] -0.2428655 0.04714401 -0.217187 -0.059549 0.1762969 0.0806339 216s [55,] 0.8723441 0.66109329 -0.224917 -0.360607 -0.0638127 0.1310131 216s [56,] 0.0019700 -0.67624071 0.081304 -0.182908 0.1045597 -0.0281936 216s [57,] -1.3684663 -0.00045069 0.860560 -0.350684 -0.1443970 -0.2270651 216s [58,] 0.0079047 1.36376727 0.750919 -0.437914 -0.1894910 0.2345556 216s [59,] -1.7430794 -1.06973583 -0.569381 -0.055139 -0.1582790 -0.0873605 216s [60,] -1.5171606 -0.69340281 -0.287048 -0.136559 -0.3871182 0.1606979 216s [61,] -0.0955085 -1.64221260 0.263650 -0.265665 -0.0808644 -0.0476862 216s [62,] 2.2259171 -2.22161516 0.426279 0.027834 0.2924338 -0.1784242 216s [63,] 2.7573525 -0.11785122 0.391113 -0.094032 -0.3184760 0.4251268 216s [64,] 2.7573525 -0.11785122 0.391113 -0.094032 -0.3184760 0.4251268 216s [65,] -0.5520071 -2.86186682 0.746248 0.109945 0.0556927 -0.0135739 216s [66,] -2.4472964 -0.94969715 -0.329042 -0.113895 -0.2728443 -0.0523337 216s [67,] 0.1790969 -1.29190443 0.146657 0.140234 0.1534048 0.2318353 216s [68,] -0.8017055 -1.93331421 -1.968273 0.017854 0.1287513 -0.2306786 216s [69,] -0.7356418 -0.68868398 -0.075215 -0.156944 0.0302876 0.4232626 216s [70,] 3.8821693 5.16959880 0.215490 -8.985938 5.2189361 -2.8089276 216s [71,] -2.3478937 -1.60220695 0.058822 -0.111845 -0.0539018 0.0087982 216s [72,] 2.3676739 -0.70331436 -0.214457 -0.307311 -0.1582719 0.3995413 216s [73,] -1.9906385 -2.60946629 -0.730312 0.485522 -0.2391998 0.1009341 216s [74,] -11.2435515 1.44868683 2.482678 0.026711 0.4922865 -0.2822136 216s [75,] 0.0044207 -2.29768358 -0.692425 0.538923 -0.4110598 -0.0824903 216s [76,] -1.4045239 -0.22649785 -1.343257 -0.067382 -0.1322233 -0.1072330 216s [77,] -8.3637576 0.14167751 1.267616 0.384528 -0.0728561 -0.4017300 216s [78,] 1.3022939 -1.47457541 -0.394623 -0.068014 -0.1502832 0.0757414 216s [79,] -0.1950676 -0.58254701 -0.824931 -0.088174 -0.2071634 -0.1896613 216s [80,] -3.4432989 1.73593273 0.777996 0.094211 0.2377017 -0.1520088 216s [81,] 1.2167258 0.77512068 0.085803 -0.214850 -0.2201173 0.0432435 216s [82,] 2.7778798 -1.80071342 0.583878 0.465898 0.0648352 0.2148470 216s [83,] 2.6218578 -0.39825539 -0.553372 -0.145721 -0.0977092 -0.2485337 216s [84,] 0.8946018 0.33790104 -1.974267 0.091828 0.0051986 -0.2606274 216s [85,] 0.7759316 -2.34860124 2.423325 -0.384149 -0.0167182 -0.0353374 216s [86,] 0.6266756 0.87099609 -1.407948 -0.237762 0.0361644 0.1675792 216s PC7 PC8 216s [1,] -0.1014312 1.5884e-03 216s [2,] -0.3831443 1.0212e-03 216s [3,] -0.7164683 1.2035e-03 216s [4,] 0.0892864 3.5409e-04 216s [5,] -0.0943992 1.0547e-03 216s [6,] 0.1184847 1.5031e-03 216s [7,] -0.2509793 1.6850e-05 216s [8,] -0.0136880 7.0308e-04 216s [9,] 0.2238736 -1.9164e-04 216s [10,] 0.0754413 1.3614e-04 216s [11,] 0.0784380 3.5175e-04 216s [12,] 0.2033489 -1.3174e-03 216s [13,] 0.2139525 -1.7101e-03 216s [14,] 0.1209735 -9.1070e-04 216s [15,] 0.2119647 -9.2843e-04 216s [16,] -0.3011483 -2.1474e-03 216s [17,] 0.0660858 -1.9036e-03 216s [18,] -0.5199396 -9.4385e-04 216s [19,] -0.1232622 -1.2649e-03 216s [20,] -0.3900208 -2.6927e-04 216s [21,] 0.0264834 7.6074e-05 216s [22,] -0.0736288 1.7240e-04 216s [23,] -0.2156005 -5.5661e-04 216s [24,] 0.1143327 -2.5248e-04 216s [25,] 0.0481580 -6.1531e-04 216s [26,] -0.0084802 -7.5928e-04 216s [27,] -0.2173883 -3.0971e-04 216s [28,] 0.3288873 -1.8975e-04 216s [29,] 0.0788974 -7.2436e-04 216s [30,] -0.0598663 -3.0463e-04 216s [31,] -0.1511658 -4.8751e-04 216s [32,] -0.0532375 -2.5207e-04 216s [33,] -0.0635290 -3.9270e-04 216s [34,] 0.1598240 1.3024e-04 216s [35,] -0.0355175 -8.5374e-05 216s [36,] -0.0174096 -6.3294e-04 216s [37,] -0.2883141 -5.2809e-04 216s [38,] 0.1426412 5.3331e-04 216s [39,] 0.0313308 4.2738e-04 216s [40,] -0.3536195 -3.4170e-04 216s [41,] -0.3925168 1.4588e-04 216s [42,] -0.0056267 -9.1925e-04 216s [43,] -0.4447402 -1.8415e-04 216s [44,] 0.9184385 -5.9685e-04 216s [45,] -0.0340987 7.2924e-04 216s [46,] -0.0162866 9.7800e-04 216s [47,] 0.2428769 -1.1208e-03 216s [48,] 0.3026758 -4.5769e-04 216s [49,] 0.0246345 -2.6207e-04 216s [50,] 0.0857698 7.6439e-05 216s [51,] 0.1136658 1.3013e-04 216s [52,] 0.3993357 6.2796e-04 216s [53,] -0.1765161 1.1329e-04 216s [54,] 0.0016144 2.5870e-04 216s [55,] 0.1064371 5.8188e-04 216s [56,] 0.0207478 -8.7595e-05 216s [57,] 0.1560065 6.3987e-05 216s [58,] 0.1684561 -5.0193e-05 216s [59,] 0.0778732 -8.5458e-04 216s [60,] 0.0037585 1.0429e-05 216s [61,] -0.0296083 3.1526e-05 216s [62,] 0.0913974 -2.2794e-04 216s [63,] 0.0358917 -7.3721e-04 216s [64,] 0.0358917 -7.3721e-04 216s [65,] 0.1209159 2.9398e-04 216s [66,] -0.0027574 2.9380e-04 216s [67,] -0.0091059 -2.7494e-04 216s [68,] 0.0555970 -3.3016e-04 216s [69,] -0.0149255 -3.1228e-04 216s [70,] 0.9282997 4.7859e-05 216s [71,] 0.2630142 4.2617e-04 216s [72,] 0.1063248 -3.0070e-04 216s [73,] -0.1462452 4.9607e-04 216s [74,] 0.2027591 2.6399e-03 216s [75,] 0.6934350 6.0284e-04 216s [76,] -0.0430524 8.1271e-04 216s [77,] 0.0789302 1.4655e-03 216s [78,] -0.0318359 5.2799e-04 216s [79,] -0.1269568 2.9497e-04 216s [80,] 0.2903958 7.8932e-04 216s [81,] 0.0979443 -3.1531e-04 216s [82,] -0.0548155 4.2140e-04 216s [83,] -0.0371550 -5.6653e-04 216s [84,] -0.0835149 -7.0682e-04 216s [85,] 0.1864954 1.0604e-03 216s [86,] 0.1074252 -7.4859e-04 216s ------------- 216s Call: 216s PcaLocantore(x = x) 216s 216s Standard deviations: 216s [1] 1.08405293 0.65307452 0.28970076 0.11162824 0.09072195 0.06659711 0.05888048 216s [8] 0.00022877 216s ---------------------------------------------------------- 216s bushfire 38 5 5 1.464779 0.043290 216s Scores: 216s PC1 PC2 PC3 PC4 PC5 216s [1,] -69.9562 -13.0364 0.98678 1.054123 2.411188 216s [2,] -71.5209 -10.5459 0.31081 1.631208 1.663470 216s [3,] -63.9308 -7.4622 -2.43241 0.671038 0.465836 216s [4,] -47.0413 -9.6343 -3.83609 0.758349 0.683983 216s [5,] -15.9088 -20.1737 -5.55893 1.181744 -0.053563 216s [6,] 8.3484 -30.7646 -5.51541 1.877227 1.338037 216s [7,] -207.7458 -66.2492 34.48519 -5.894885 -1.051729 216s [8,] -246.4327 -97.0433 -9.57057 22.286225 -9.234869 216s [9,] -247.5984 -98.8613 -12.13406 23.948770 -9.250401 216s [10,] -245.8121 -79.2634 12.47990 13.046128 -5.125478 216s [11,] -246.8887 -62.5899 21.21764 9.111011 -5.080985 216s [12,] -251.1354 -9.2115 31.77448 0.236379 0.707528 216s [13,] -194.0239 27.1288 21.05023 0.940913 1.781359 216s [14,] 51.7182 8.5038 -11.22109 -2.132458 1.984807 216s [15,] 180.5597 -4.8151 -21.36630 -9.390663 -0.817036 216s [16,] 135.7246 -5.0756 -11.33517 -10.015567 -1.670831 216s [17,] 133.0151 -4.0344 -8.95540 -7.702087 -0.923277 216s [18,] 121.2619 -9.0627 -5.96042 -7.210971 -2.092872 216s [19,] 124.9038 -10.6649 -7.22555 -5.349553 -1.771009 216s [20,] 135.5410 -6.8146 -7.52834 -5.562769 -0.396924 216s [21,] 117.1950 -3.5643 -4.67473 -6.862117 -0.234551 216s [22,] 108.9944 -2.3344 -5.90349 -5.928299 1.455538 216s [23,] -21.4031 8.0668 6.19525 -4.784890 0.671394 216s [24,] -76.3499 16.7804 6.52545 -1.391250 1.219282 216s [25,] -12.5732 6.1109 -1.45259 -3.512072 -0.375837 216s [26,] -19.1800 3.4685 -2.02243 -3.490028 -0.169127 216s [27,] -33.6733 12.0757 -3.53322 0.048666 0.067468 216s [28,] -9.3966 21.5055 -5.91671 2.650895 -0.449672 216s [29,] 1.4123 35.8559 -5.98222 5.982362 0.613667 216s [30,] -54.2683 39.6029 7.82694 6.759994 0.035048 216s [31,] 74.8866 34.9048 10.03986 12.592158 0.149308 216s [32,] 331.4144 9.3079 27.73391 17.334531 1.015536 216s [33,] 367.6915 -19.5135 48.52753 10.213314 -1.268047 216s [34,] 363.8686 -20.4079 49.32855 8.986581 -1.930673 216s [35,] 369.4371 -19.5074 49.66761 9.001542 -0.179566 216s [36,] 366.5850 -20.2555 50.30290 7.745330 -2.259131 216s [37,] 364.5463 -19.8198 53.00407 6.757796 -1.083372 216s [38,] 365.9709 -19.3753 53.80168 6.467284 -0.854384 216s ------------- 216s Call: 216s PcaLocantore(x = x) 216s 216s Standard deviations: 216s [1] 1.210280 0.208063 0.177790 0.062694 0.014423 216s ---------------------------------------------------------- 216s ========================================================== 216s > dodata(method="cov") 216s 216s Call: dodata(method = "cov") 216s Data Set n p k e1 e2 216s ========================================================== 216s heart 12 2 2 685.776266 13.127306 216s Scores: 216s PC1 PC2 216s 1 8.18562 1.17998 216s 2 65.41185 -2.80723 216s 3 1.86039 -1.70646 216s 4 -2.26910 2.44051 216s 5 20.19603 -1.47331 216s 6 -14.46264 7.05759 216s 7 6.91264 1.99823 216s 8 -28.95436 -3.81624 216s 9 -0.61523 -1.09711 216s 10 -27.62427 -3.33575 216s 11 -13.17788 0.37931 216s 12 49.94879 -1.62675 216s ------------- 216s Call: 216s PcaCov(x = x) 216s 216s Standard deviations: 216s [1] 26.1873 3.6232 216s ---------------------------------------------------------- 216s starsCYG 47 2 2 0.280150 0.007389 216s Scores: 216s PC1 PC2 216s 1 0.272263 -0.07964458 216s 2 0.804544 0.03382837 216s 3 -0.040587 -0.14464760 216s 4 0.804544 0.03382837 216s 5 0.222468 -0.14305159 216s 6 0.512941 -0.02420304 216s 7 -0.378928 -0.51924735 216s 8 0.341045 0.11236831 216s 9 0.592550 -0.23812462 216s 10 0.163442 -0.06357822 216s 11 0.638370 -1.02323643 216s 12 0.498667 -0.05242075 216s 13 0.476291 0.00142479 216s 14 -0.947664 -0.26343572 216s 15 -0.699020 -0.01711057 216s 16 -0.363464 0.06475681 216s 17 -1.024352 -0.02972862 216s 18 -0.759174 0.12317995 216s 19 -0.786925 -0.06478250 216s 20 0.796654 -1.04660568 216s 21 -0.580307 -0.03463751 216s 22 -0.738591 -0.01126825 216s 23 -0.521748 0.08812607 216s 24 -0.086135 0.09457052 216s 25 0.065975 -0.03907968 216s 26 -0.284322 0.05307219 216s 27 -0.303309 -0.07553370 216s 28 -0.052738 -0.02155274 216s 29 -0.580638 -0.10534741 216s 30 0.953478 -1.07986770 216s 31 -0.527590 0.04855502 216s 32 0.171408 0.12730538 216s 33 0.274054 0.00095808 216s 34 1.192364 -1.10502882 216s 35 -0.628641 -0.08815176 216s 36 0.694595 0.11071187 216s 37 0.167026 0.09762710 216s 38 0.274054 0.00095808 216s 39 0.246168 0.08594248 216s 40 0.617380 -0.06994769 216s 41 -0.329735 0.01934346 216s 42 0.115770 0.02432733 216s 43 0.400071 0.03289494 216s 44 0.392768 -0.01656886 216s 45 0.605229 0.05314718 216s 46 0.036628 0.03601196 216s 47 -0.442606 0.07644144 216s ------------- 216s Call: 216s PcaCov(x = x) 216s 216s Standard deviations: 216s [1] 0.529292 0.085957 216s ---------------------------------------------------------- 216s phosphor 18 2 2 288.018150 22.020514 216s Scores: 216s PC1 PC2 216s 1 2.7987 -19.015683 216s 2 -20.4311 -0.032022 216s 3 -21.8198 4.589809 216s 4 -11.7869 -6.837833 216s 5 -16.9357 2.664785 216s 6 12.9132 -25.602526 216s 7 1.5249 -6.351664 216s 8 -8.0984 2.416616 216s 9 -8.6979 4.843680 216s 10 14.3903 -12.732868 216s 11 -2.9462 -0.760656 216s 12 11.7427 2.991004 216s 13 14.8400 0.459849 216s 14 9.2449 3.095095 216s 15 19.4860 -3.336883 216s 16 -9.4156 -7.096788 216s 17 23.3759 -1.737460 216s 18 19.9173 5.092467 216s ------------- 216s Call: 216s PcaCov(x = x) 216s 216s Standard deviations: 216s [1] 16.9711 4.6926 216s ---------------------------------------------------------- 216s stackloss 21 3 3 28.153060 8.925048 216s Scores: 216s PC1 PC2 PC3 216s [1,] 10.538448 13.596944 12.84989 216s [2,] 9.674846 14.098881 12.89733 216s [3,] 8.993255 9.221043 9.94062 216s [4,] 1.744427 3.649104 0.17292 216s [5,] 0.980215 2.223126 1.34874 216s [6,] 1.362321 2.936115 0.76083 216s [7,] 6.926040 0.637480 -0.11170 216s [8,] 6.926040 0.637480 -0.11170 216s [9,] 0.046655 0.977727 -2.46930 216s [10,] -7.909092 0.926343 0.80232 216s [11,] -0.136672 -3.591094 0.37539 216s [12,] -1.382381 -3.802146 1.01074 216s [13,] -6.181887 -0.077532 0.70744 216s [14,] 3.699843 -4.885854 -0.40226 216s [15,] -2.768005 -7.507870 -6.08487 216s [16,] -5.358811 -6.002058 -5.94256 216s [17,] -17.067135 1.738055 -5.86637 216s [18,] -11.021920 -1.775507 -6.19842 216s [19,] -9.776212 -1.564455 -6.83377 216s [20,] -6.075508 0.369252 -2.08345 216s [21,] 6.301743 2.706174 8.79509 216s ------------- 216s Call: 216s PcaCov(x = x) 216s 216s Standard deviations: 216s [1] 5.3059 2.9875 1.3020 216s ---------------------------------------------------------- 216s salinity 28 3 3 11.801732 3.961826 216s Scores: 216s PC1 PC2 PC3 216s 1 -1.59888 1.582157 0.135248 216s 2 -2.26975 2.429177 1.107832 216s 3 -6.79543 -2.034636 0.853876 216s 4 -6.36795 -0.602960 -0.267268 216s 5 -6.42044 -1.520259 5.022962 216s 6 -5.13821 1.225470 0.016977 216s 7 -3.24014 1.998671 -0.123418 216s 8 -0.93998 2.789889 -0.515656 216s 9 -0.30856 -2.424345 -1.422752 216s 10 2.20362 -2.800513 1.142127 216s 11 1.38120 -2.076832 2.515630 216s 12 0.44997 0.207439 -0.152835 216s 13 1.21669 1.193701 -0.277116 216s 14 3.31664 1.306627 1.213342 216s 15 2.08484 -3.774814 0.905400 216s 16 -3.64862 -4.677257 9.046484 216s 17 -0.46124 -1.411762 1.706719 216s 18 -2.13038 0.890401 -0.633349 216s 19 -0.23610 -2.262304 -1.885048 216s 20 1.70337 -1.970773 -0.781880 216s 21 2.67273 1.038742 -0.610945 216s 22 4.24561 1.547290 0.108927 216s 23 2.99619 -4.785343 3.094945 216s 24 1.64474 -3.564562 3.432429 216s 25 1.11703 -1.158030 0.237700 216s 26 2.30707 0.069668 -0.735809 216s 27 3.59356 0.860498 -0.611380 216s 28 4.57550 1.300407 0.589307 216s ------------- 216s Call: 216s PcaCov(x = x) 216s 216s Standard deviations: 216s [1] 3.43536 1.99043 0.94546 216s ---------------------------------------------------------- 216s hbk 75 3 3 1.436470 1.181766 216s Scores: 216s PC1 PC2 PC3 216s 1 31.105415 -4.714217 10.4566165 216s 2 31.707650 -5.748724 10.7682402 216s 3 33.366131 -4.625897 12.1570167 216s 4 34.173377 -6.069657 12.4466895 216s 5 33.780418 -5.508823 11.9872893 216s 6 32.493478 -4.684595 10.5679819 216s 7 32.592637 -5.235522 10.3765493 216s 8 31.293363 -4.865797 10.9379676 216s 9 33.160964 -5.714260 12.3098920 216s 10 31.919786 -5.384537 12.3374332 216s 11 38.231962 -6.810641 13.5994385 216s 12 39.290479 -5.393906 15.2942554 216s 13 39.418445 -7.326461 11.5194898 216s 14 43.906584 -13.214819 8.3282743 216s 15 1.906326 0.716061 -0.8635112 216s 16 0.263255 0.926016 -1.9009292 216s 17 -1.776489 -1.072332 -0.5496140 216s 18 0.464648 0.702441 0.0482897 216s 19 0.267826 -1.283779 -0.2925812 216s 20 2.122108 0.165970 -0.8924686 216s 21 0.937217 0.548532 -0.4132196 216s 22 0.423273 -1.781869 -0.0323061 216s 23 0.047532 0.018909 -1.1259327 216s 24 -0.490041 -0.520202 -1.1065753 216s 25 -2.143049 0.720869 -0.0495474 216s 26 1.094748 -1.459175 0.2226246 216s 27 2.070705 0.898573 0.0023229 216s 28 -0.294998 0.830258 0.5929001 216s 29 -1.242995 0.300216 -0.2010507 216s 30 0.147958 0.439099 2.0003038 216s 31 0.170818 1.440946 -0.9755627 216s 32 -0.958531 -1.199730 -1.0129867 216s 33 0.697307 -0.874343 -0.7260649 216s 34 -2.278946 0.261106 0.4196544 216s 35 1.962829 0.809318 0.2033113 216s 36 0.626631 -0.600666 0.8004036 216s 37 0.550885 -1.881448 0.7382776 216s 38 -1.249717 0.336214 -0.9349845 216s 39 -1.106696 1.569418 0.1869576 216s 40 -0.684034 -0.939963 -0.1034965 216s 41 1.559314 1.551408 0.3660323 216s 42 -0.538741 -0.447358 1.6361099 216s 43 -0.252685 -2.080564 -0.7765259 216s 44 0.217012 1.027281 1.7015154 216s 45 -1.497600 1.349234 -0.2698932 216s 46 0.100388 1.026443 1.5390401 216s 47 -0.811117 2.195271 -0.5208141 216s 48 1.462210 1.321318 0.5600144 216s 49 1.383976 0.740714 -0.7348906 216s 50 1.636773 -0.215464 0.3195369 216s 51 -0.530918 0.759743 -1.2069247 216s 52 -0.109566 2.107455 -0.5315473 216s 53 -0.564334 -0.060847 2.3910630 216s 54 -0.272234 -1.122711 -1.5060028 216s 55 -0.608660 -1.197219 -0.5255609 216s 56 0.565430 -0.710345 -1.3708230 216s 57 -1.115629 0.888816 -0.4186014 216s 58 1.351288 -0.374815 -1.1980618 216s 59 0.998016 -0.151228 0.9007970 216s 60 0.124017 -0.764846 1.9005963 216s 61 1.189858 -1.905264 0.7721322 216s 62 -2.190589 0.579614 -0.1377914 216s 63 -0.518278 -0.931130 -1.4534768 216s 64 2.124566 0.194391 -0.0327092 216s 65 0.154218 1.050861 1.1309885 216s 66 -1.197852 -1.044147 -0.2265269 216s 67 -0.114174 -0.094763 -0.5168926 216s 68 -2.201115 0.032271 0.8573493 216s 69 -1.307843 1.104815 -0.7741270 216s 70 0.691449 -0.676665 1.0004603 216s 71 1.150975 0.050861 -0.0717068 216s 72 -0.457293 -0.861871 0.1026350 216s 73 -0.392258 -0.897451 0.9178065 216s 74 -0.584658 -1.450471 0.3201857 216s 75 -0.972517 -0.063777 1.8223995 216s ------------- 216s Call: 216s PcaCov(x = x) 216s 216s Standard deviations: 216s [1] 1.1985 1.0871 1.0086 216s ---------------------------------------------------------- 216s milk 86 8 8 5.758630 2.224809 216s Scores: 216s PC1 PC2 PC3 PC4 PC5 PC6 216s 1 5.7090867 1.388263 0.0055924 0.3510505 -0.7335114 -1.41950731 216s 2 6.5825186 0.480410 -1.1356236 -0.3250838 -0.7343177 -1.71595400 216s 3 0.7433619 -1.749281 0.2510521 0.3450575 0.2996413 -0.34585702 216s 4 5.5733255 -1.588521 0.8934908 -0.3412408 0.0087626 0.07235942 216s 5 -1.3030839 0.142394 0.8487785 -0.5847851 0.0588053 -0.08968553 216s 6 1.7708705 0.674240 -0.4153759 -0.1915734 0.1382138 0.12454293 216s 7 2.3570866 0.381017 -0.8771357 -0.3739365 0.2918453 0.13437364 216s 8 2.5700714 0.695006 0.0061108 -0.4323695 0.1643797 -0.00469369 216s 9 -1.1725766 -2.713291 1.0677483 -0.0647875 0.1183120 -0.10762785 216s 10 -3.1357225 -1.255175 0.0666017 0.5083690 -0.1096080 -0.00647493 216s 11 -9.5333894 -1.608943 2.7307809 0.1690156 -0.1682415 -0.06597478 216s 12 -13.6028505 0.941083 2.0136258 -0.1076520 -0.0475905 -0.15295614 216s 13 -10.9497471 0.048776 -0.8765307 0.1518572 0.1428294 -0.00064406 216s 14 -12.6558378 -0.219444 1.1396273 -0.3734679 0.2875578 -0.23870524 216s 15 -10.6924790 -1.818075 3.4560731 -0.1177943 0.1101199 -0.19708172 216s 16 -3.0258070 -0.203186 1.2835368 0.5799363 0.3237454 0.23168871 216s 17 -0.7498665 -2.977505 1.6310512 0.6305329 0.3994006 0.06594881 216s 18 -2.5093526 0.924459 0.0899818 -0.4026675 0.2963072 0.11324019 216s 19 -1.9689970 -1.051282 1.4659908 0.3870104 -0.0708083 -0.02148354 216s 20 0.2695886 -1.646440 0.7597630 0.1750131 -0.3418142 0.21515143 216s 21 -3.3470252 1.989939 0.2887021 -0.3599779 0.0771965 0.16867095 216s 22 -1.4659204 0.777242 0.4090149 -0.1248050 0.1916768 -0.23160291 216s 23 -0.4944476 1.634130 0.8915509 0.1222296 -0.1231015 -0.08351169 216s 24 -0.8945477 1.239223 1.1117165 0.6018455 0.0912200 -0.01204668 216s 25 -4.1499992 1.860190 1.6062973 -0.2139736 -0.1140169 0.16632426 216s 26 -1.2647012 1.188058 1.1893430 -0.2740862 -0.0971504 -0.09851714 216s 27 -3.4280131 -0.267150 1.1969552 0.0354366 0.8482718 -0.18977667 216s 28 1.6896630 3.793723 0.7706325 0.1007287 0.0317704 -0.11269816 216s 29 3.9258127 1.691428 0.1850999 0.4485202 -0.2969916 0.16594044 216s 30 0.3178322 1.577233 0.4455231 -0.1687197 -0.1587136 -0.00823174 216s 31 0.9562350 2.258138 -1.4672169 0.2675668 0.1910110 0.03177387 216s 32 0.6738452 0.470764 -1.3496896 0.3524049 0.2008218 -0.36957179 216s 33 1.5980690 0.413899 0.1999664 0.4232293 0.0768479 -0.04627841 216s 34 0.4365091 -0.626490 0.4718364 0.3392252 0.2554060 -0.19018602 216s 35 -1.1184804 2.124234 0.2650931 0.4791171 0.2927791 -0.01579964 216s 36 3.6673986 1.659798 0.6138972 -0.1092158 -0.2705583 -0.16494176 216s 37 0.0867143 2.541765 -0.4572593 0.0024263 0.2163300 -0.20116352 216s 38 1.4191839 2.315690 0.1365887 0.1028375 0.1595780 -0.02049460 216s 39 -1.8062960 0.845438 1.1469588 0.5022406 0.1603011 -0.08751261 216s 40 3.4380914 -1.358545 0.1956896 0.6314649 0.0716078 -0.21591535 216s 41 3.4608782 1.828575 0.2012565 0.1064437 -0.7454169 -1.64629924 216s 42 6.4162310 -0.402642 0.8070441 0.5146855 0.0331594 0.04373032 216s 43 2.5906567 0.897993 -1.2612252 -0.2620162 -0.1432569 -0.10279385 216s 44 5.0299750 0.203721 0.0439110 0.8775684 -0.9536011 0.15153452 216s 45 -0.3555392 0.454930 0.1173992 0.4688991 0.1137820 0.18752442 216s 46 -0.4155426 1.892410 0.8649578 0.1827426 -0.0186113 -0.04029205 216s 47 1.9328817 0.121936 -3.9578157 -0.1135807 0.2971001 0.18733657 216s 48 -0.3947656 1.028405 -1.0370498 0.4467257 -0.1445498 0.16878692 216s 49 -2.8829860 0.279064 -1.4443310 0.5889970 -0.1883118 0.16947945 216s 50 3.2797246 -2.443968 0.4100655 0.4278962 -0.4414712 0.08598366 216s 51 -1.9272930 -0.622137 -1.5136862 -0.0483369 -0.0272502 0.16006066 216s 52 -5.7161590 -0.298434 -0.5216578 0.1385780 -0.2435931 0.10628617 216s 53 -1.1933277 -0.125878 -0.7556261 -0.3129372 -0.3166453 0.03078643 216s 54 -0.5994394 -0.031069 -0.1296378 0.0061490 -0.1869578 0.09839221 216s 55 0.4104586 0.733465 -0.2088065 -0.3645266 -0.1830137 0.04705775 216s 56 -0.2227671 -0.724741 0.1007592 -0.0838897 -0.1939960 -0.04223579 216s 57 -1.5706297 -0.292436 1.0849660 -0.2559591 -0.0917278 -0.27423151 216s 58 -0.4102168 1.263831 0.9082556 -0.4592777 -0.0676902 0.11089798 216s 59 -1.9640736 -1.340173 -0.3652736 -0.1267573 0.0775692 -0.07977644 216s 60 -1.7490968 -0.941370 -0.0849901 -0.3453455 0.2858594 0.06413468 216s 61 -0.1583416 -1.699326 0.2385988 -0.2231496 -0.0513883 -0.12227279 216s 62 2.2124878 -1.942366 0.0743514 0.2627321 -0.2844018 -0.15848039 216s 63 2.4578489 0.226019 0.1148050 -0.2715718 0.2322085 0.22346659 216s 64 2.4578489 0.226019 0.1148050 -0.2715718 0.2322085 0.22346659 216s 65 -0.3779208 -2.987354 0.6819006 0.1942611 0.0529259 0.01315140 216s 66 -2.6385498 -1.331204 -0.0367809 -0.2327572 0.1845076 -0.08521680 216s 67 0.0526645 -1.301299 0.0912198 0.1634869 -0.0068236 0.24131589 216s 68 -1.1013065 -2.004809 -1.9168056 0.0260663 -0.2029903 -0.12625268 216s 69 -0.9495853 -0.831697 0.0389476 -0.2123483 -0.0202267 0.38463410 216s 70 2.6935893 5.369312 0.6987368 -4.5754846 -9.6833013 -2.32910628 216s 71 -2.4037611 -1.983509 0.3109848 -0.1015686 -0.0071432 0.06410351 216s 72 2.0795505 -0.392730 -0.4534128 -0.4054224 -0.0312781 0.25408988 216s 73 -2.0038405 -2.874605 -0.6269939 0.2408421 0.5184666 0.11140104 216s 74 -11.2683996 -0.361851 3.9219448 0.4045689 -0.2203308 0.05930132 216s 75 -0.1028287 -2.295813 -0.7769187 0.3071821 0.4537196 0.00522380 216s 76 -1.8466137 -0.425825 -1.1261209 -0.1760585 0.0165729 -0.10698465 216s 77 -8.4124493 -1.174820 2.2700712 0.4213953 0.3446597 -0.20636892 216s 78 1.1103236 -1.299480 -0.5787732 -0.1455945 0.0732148 -0.01806218 216s 79 -0.5451834 -0.620170 -0.7830595 -0.1746479 0.0723052 -0.26017118 216s 80 -3.8647223 1.126328 1.3299567 0.2645241 -0.1881443 0.00485531 216s 81 0.7690939 0.887363 0.0513096 -0.2730980 0.0076447 -0.07590882 216s 82 2.7287618 -1.435327 0.1602865 0.4465859 0.2129425 0.16104418 216s 83 2.2241485 -0.042822 -0.8316486 -0.1230697 -0.1193057 -0.35207561 216s 84 0.2452905 0.491732 -2.0050683 0.0286567 -0.1159415 -0.24887542 216s 85 1.0655845 -2.360746 2.2456131 -0.1479972 -0.1186670 -0.14020891 216s 86 -0.0091659 0.952208 -1.3429189 -0.2944676 -0.2433277 0.15354490 216s PC7 PC8 216s 1 -0.09778744 2.3157e-03 216s 2 0.05189698 1.8077e-03 216s 3 0.70506895 1.2838e-03 216s 4 -0.08541140 3.2781e-04 216s 5 0.11768945 8.3496e-04 216s 6 -0.17886391 1.5222e-03 216s 7 0.14143613 1.3261e-04 216s 8 -0.07724578 7.1241e-04 216s 9 -0.12298048 -7.0110e-04 216s 10 0.07569878 2.3093e-05 216s 11 0.29299858 -3.4542e-04 216s 12 0.07764899 -2.1390e-03 216s 13 -0.08945524 -2.2633e-03 216s 14 0.03597787 -1.8891e-03 216s 15 0.11780498 -2.0279e-03 216s 16 0.46501534 -2.3266e-03 216s 17 0.08603290 -2.4073e-03 216s 18 0.52605757 -9.8822e-04 216s 19 0.31007227 -1.3919e-03 216s 20 0.61582059 -2.3549e-05 216s 21 0.01199350 -6.1649e-05 216s 22 0.03654587 1.3302e-05 216s 23 0.27549986 -3.6759e-04 216s 24 -0.04155354 -2.9882e-04 216s 25 0.11473708 -7.9629e-04 216s 26 0.06673183 -8.3728e-04 216s 27 0.16937729 -9.5775e-04 216s 28 -0.41753592 -7.5544e-05 216s 29 -0.03693100 -2.2481e-04 216s 30 0.08461537 -1.3611e-04 216s 31 0.02476253 -1.4319e-04 216s 32 -0.09756048 -1.2234e-04 216s 33 0.06442434 -2.4915e-04 216s 34 -0.17828409 -9.5882e-05 216s 35 0.00881239 -7.1427e-05 216s 36 -0.01041003 -2.8489e-04 216s 37 0.15994729 -3.1472e-04 216s 38 -0.22386895 6.1384e-04 216s 39 0.03666242 2.8506e-04 216s 40 0.35883231 -8.3062e-05 216s 41 0.18521851 8.5509e-04 216s 42 0.00733985 -6.4477e-04 216s 43 0.35466617 3.2923e-04 216s 44 -0.74952524 -7.6869e-05 216s 45 0.09907237 7.9128e-04 216s 46 0.05119980 1.0606e-03 216s 47 -0.48571583 -9.3780e-04 216s 48 -0.27463442 -2.7037e-04 216s 49 0.06787536 -3.0554e-05 216s 50 0.08499400 3.1181e-04 216s 51 -0.09197457 1.1213e-04 216s 52 -0.24513244 3.9100e-04 216s 53 0.24012780 3.2068e-04 216s 54 0.07999888 3.5689e-04 216s 55 -0.09825475 6.6675e-04 216s 56 0.05133674 -7.2984e-05 216s 57 -0.10302363 -2.0693e-04 216s 58 -0.12323360 -1.6620e-04 216s 59 -0.05119989 -1.1016e-03 216s 60 0.00082131 -3.2951e-04 216s 61 0.08128272 -1.1550e-04 216s 62 -0.01789040 -1.1579e-04 216s 63 -0.07188070 -7.8367e-04 216s 64 -0.07188070 -7.8367e-04 216s 65 0.00917085 -2.6800e-05 216s 66 0.03121573 -5.3492e-05 216s 67 0.12202335 -3.0466e-04 216s 68 -0.04764366 -2.6126e-04 216s 69 0.13828337 -3.9331e-04 216s 70 0.10401069 4.2870e-03 216s 71 -0.14369640 3.7669e-05 216s 72 -0.10334451 -2.6456e-04 216s 73 0.17655402 1.0917e-04 216s 74 0.26779696 1.8685e-03 216s 75 -0.75016549 2.1079e-05 216s 76 0.01802016 7.7555e-04 216s 77 0.13081368 6.4286e-04 216s 78 0.01409131 4.9476e-04 216s 79 0.06643384 2.6590e-04 216s 80 -0.12624376 5.9801e-04 216s 81 -0.14074469 -3.2172e-04 216s 82 0.09228230 4.4064e-04 216s 83 -0.06352151 -3.6274e-04 216s 84 -0.02642452 -3.9742e-04 216s 85 -0.03502188 6.9814e-04 216s 86 -0.11749109 -5.1283e-04 216s ------------- 216s Call: 216s PcaCov(x = x) 216s 216s Standard deviations: 216s [1] 2.39971451 1.49157920 0.93184037 0.33183258 0.19628996 0.16485446 0.12784351 216s [8] 0.00052622 216s ---------------------------------------------------------- 216s bushfire 38 5 5 11393.979994 197.523453 216s Scores: 216s PC1 PC2 PC3 PC4 PC5 216s 1 -91.383 -16.17804 0.56195 -0.252428 1.261840 216s 2 -93.033 -13.93251 -0.67212 0.042287 0.470924 216s 3 -85.400 -10.72512 -3.09832 -1.224797 -0.504718 216s 4 -68.381 -12.12202 -3.31950 -0.676880 -0.228383 216s 5 -36.742 -21.04171 -1.98872 0.397655 -0.932613 216s 6 -12.095 -30.21719 0.59595 2.100702 0.384714 216s 7 -227.949 -71.40450 35.57308 -7.880296 -2.710415 216s 8 -262.815 -111.81228 -11.04574 2.397832 -13.646407 216s 9 -263.767 -114.13702 -13.71407 3.131736 -13.825200 216s 10 -264.312 -90.69643 9.72320 0.967173 -8.800150 216s 11 -266.681 -72.85993 16.55010 0.291092 -8.373583 216s 12 -274.050 -18.41395 20.74273 -2.464589 -1.505967 216s 13 -218.299 19.16040 7.69765 0.069012 0.054846 216s 14 29.646 10.52526 -7.50754 0.855493 1.966680 216s 15 159.575 3.86633 -6.95837 -2.753953 0.616068 216s 16 114.286 2.47164 0.62690 -3.146317 -0.501623 216s 17 111.289 3.45086 1.97182 -0.303064 -0.094416 216s 18 99.626 -1.80416 4.88197 -0.013096 -1.438397 216s 19 103.353 -3.50426 3.58993 1.578169 -1.317194 216s 20 113.769 0.84544 3.28254 2.204926 0.131167 216s 21 95.186 3.50703 4.97153 0.916181 0.351658 216s 22 86.996 4.00938 2.95209 1.281788 1.920404 216s 23 -44.232 8.50898 6.30689 -1.038871 0.400078 216s 24 -99.527 13.81377 1.75130 -0.260669 0.394804 216s 25 -34.855 5.99709 -0.57224 -1.660513 -0.620158 216s 26 -41.265 2.94659 -1.04825 -2.243950 -0.440017 216s 27 -56.148 10.14428 -5.41858 0.321752 -0.608412 216s 28 -32.366 20.27795 -8.60687 3.806572 -1.267249 216s 29 -22.438 34.73585 -11.19123 8.296154 -0.511610 216s 30 -79.035 37.05713 -1.51591 9.892959 -1.618635 216s 31 49.465 39.37414 5.95714 22.874813 -1.883481 216s 32 304.825 30.19205 37.68900 45.175923 -1.293939 216s 33 341.237 7.04985 65.43451 44.553009 -3.148116 216s 34 337.467 6.16879 66.48222 43.278480 -3.688631 216s 35 342.929 7.38548 66.91291 43.941556 -1.937887 216s 36 340.143 6.70203 67.85433 42.479161 -3.873639 216s 37 337.931 7.43184 70.50828 42.333220 -2.645830 216s 38 339.281 8.07267 71.34405 42.400459 -2.392774 216s ------------- 216s Call: 216s PcaCov(x = x) 216s 216s Standard deviations: 216s [1] 106.7426 14.0543 4.9184 1.8263 1.0193 216s ---------------------------------------------------------- 216s ========================================================== 216s > dodata(method="grid") 216s 216s Call: dodata(method = "grid") 216s Data Set n p k e1 e2 216s ========================================================== 216s heart 12 2 2 516.143549 23.932102 216s Scores: 216s PC1 PC2 216s [1,] 6.4694 3.8179 216s [2,] 61.7387 19.1814 216s [3,] 1.4722 -1.0161 216s [4,] -3.8056 1.5127 216s [5,] 18.6760 5.3303 216s [6,] -16.8411 1.7900 216s [7,] 4.9962 4.1638 216s [8,] -26.8665 -13.3010 216s [9,] -1.0648 -1.2690 216s [10,] -25.7734 -12.4037 216s [11,] -13.3987 -4.0751 216s [12,] 46.7700 15.1272 216s ------------- 216s Call: 216s PcaGrid(x = x) 216s 216s Standard deviations: 216s [1] 22.719 4.892 216s ---------------------------------------------------------- 216s starsCYG 47 2 2 0.473800 0.026486 216s Scores: 216s PC1 PC2 216s [1,] 0.181489 -0.0300854 216s [2,] 0.695337 0.1492475 216s [3,] -0.120738 -0.1338110 216s [4,] 0.695337 0.1492475 216s [5,] 0.140039 -0.0992368 216s [6,] 0.413314 0.0551030 216s [7,] -0.409428 -0.5478860 216s [8,] 0.225647 0.1690378 216s [9,] 0.519123 -0.1471454 216s [10,] 0.071513 -0.0277935 216s [11,] 0.663045 -0.9203119 216s [12,] 0.402691 0.0253179 216s [13,] 0.373739 0.0759321 216s [14,] -1.005756 -0.3654219 216s [15,] -0.789968 -0.0898580 216s [16,] -0.467328 0.0334465 216s [17,] -1.111148 -0.1431778 216s [18,] -0.867242 0.0417806 216s [19,] -0.871200 -0.1481782 216s [20,] 0.823011 -0.9236455 216s [21,] -0.669994 -0.0923582 216s [22,] -0.829959 -0.0890246 216s [23,] -0.627294 0.0367802 216s [24,] -0.195929 0.0978059 216s [25,] -0.028257 -0.0157122 216s [26,] -0.387346 0.0317797 216s [27,] -0.390054 -0.0981920 216s [28,] -0.148231 -0.0132120 216s [29,] -0.661454 -0.1625514 216s [30,] 0.982767 -0.9369769 216s [31,] -0.628127 -0.0032112 216s [32,] 0.055476 0.1625819 216s [33,] 0.173158 0.0501056 216s [34,] 1.222924 -0.9319795 216s [35,] -0.711235 -0.1515118 216s [36,] 0.576613 0.2117347 216s [37,] 0.054851 0.1325884 216s [38,] 0.173158 0.0501056 216s [39,] 0.134833 0.1309216 216s [40,] 0.522665 0.0228177 216s [41,] -0.428171 -0.0073782 216s [42,] 0.013192 0.0534392 216s [43,] 0.294173 0.0975945 216s [44,] 0.293132 0.0476054 216s [45,] 0.495172 0.1434167 216s [46,] -0.066790 0.0551060 216s [47,] -0.547311 0.0351134 216s ------------- 216s Call: 216s PcaGrid(x = x) 216s 216s Standard deviations: 216s [1] 0.68833 0.16275 216s ---------------------------------------------------------- 216s phosphor 18 2 2 392.155327 50.657228 216s Scores: 216s PC1 PC2 216s 1 5.6537 -15.2305 216s 2 -21.2150 -1.8862 216s 3 -23.5966 2.3112 216s 4 -11.2742 -6.6000 216s 5 -18.4067 1.5202 216s 6 16.9795 -19.4039 216s 7 1.5964 -3.1666 216s 8 -9.7354 3.2429 216s 9 -10.8594 5.4759 216s 10 15.5585 -6.5279 216s 11 -4.0058 1.2905 216s 12 9.4815 8.2139 216s 13 13.0640 6.4346 216s 14 7.0230 7.7600 216s 15 18.4378 3.7658 216s 16 -8.9047 -6.3253 216s 17 21.8748 6.1900 216s 18 16.9843 12.0801 216s ------------- 216s Call: 216s PcaGrid(x = x) 216s 216s Standard deviations: 216s [1] 19.8029 7.1174 216s ---------------------------------------------------------- 216s stackloss 21 3 3 109.445054 16.741203 216s Scores: 216s PC1 PC2 PC3 216s [1,] 15.136434 14.82909 -2.0387704 216s [2,] 14.393636 15.46816 -1.8391595 216s [3,] 12.351209 10.12290 -2.3458098 216s [4,] 2.510036 2.07589 1.8251581 216s [5,] 1.767140 1.78527 -0.0088651 216s [6,] 2.138588 1.93058 0.9081465 216s [7,] 6.966825 -1.75851 0.6274924 216s [8,] 6.966825 -1.75851 0.6274924 216s [9,] -0.089513 -1.09062 2.2894224 216s [10,] -7.146340 2.65628 -0.8983590 216s [11,] -0.461157 -3.09532 -2.6948576 216s [12,] -1.575403 -2.60157 -3.4122582 216s [13,] -5.660744 1.37815 -1.2975809 216s [14,] 2.881484 -5.50628 -2.5762898 216s [15,] -4.917360 -9.13772 0.0676942 216s [16,] -7.145755 -7.22052 0.6665270 216s [17,] -17.173481 1.87173 4.3780920 216s [18,] -11.973894 -2.60174 2.9808153 216s [19,] -10.859648 -3.09549 3.6982160 216s [20,] -6.031899 0.15817 1.2270803 216s [21,] 8.451640 4.98077 -5.4038839 216s ------------- 216s Call: 216s PcaGrid(x = x) 216s 216s Standard deviations: 216s [1] 10.4616 4.0916 2.8271 216s ---------------------------------------------------------- 216s salinity 28 3 3 14.911546 8.034974 216s Scores: 216s PC1 PC2 PC3 216s 1 -2.72400 0.79288 0.688038 216s 2 -3.45684 0.86162 1.941690 216s 3 -5.73471 -4.79507 0.129202 216s 4 -6.17045 -3.04372 -0.352797 216s 5 -4.72453 -5.59543 4.144851 216s 6 -5.75447 -1.07062 0.579975 216s 7 -4.40759 0.47731 0.680203 216s 8 -2.76360 2.30716 0.540271 216s 9 -0.28782 -1.40644 -2.373399 216s 10 2.64361 -1.43362 -0.266957 216s 11 1.91078 -1.66975 1.312215 216s 12 -0.40661 0.68573 -0.200135 216s 13 -0.14911 1.88993 0.044001 216s 14 1.99005 2.43874 1.373229 216s 15 2.88128 -2.21263 -0.863674 216s 16 -0.12935 -8.28831 6.483875 216s 17 -0.16895 -1.68742 0.905190 216s 18 -3.08054 0.23753 -0.269165 216s 19 -0.38685 -1.08501 -2.736860 216s 20 1.45520 -0.33209 -1.686406 216s 21 1.13834 2.53553 -0.381657 216s 22 2.48522 3.42927 0.417050 216s 23 4.56487 -3.36542 0.711908 216s 24 2.94072 -3.08490 1.556939 216s 25 0.82140 -0.26895 -0.406490 216s 26 1.17794 1.61119 -0.863764 216s 27 2.02965 2.80707 -0.489050 216s 28 2.98039 3.21462 0.747622 216s ------------- 216s Call: 216s PcaGrid(x = x) 216s 216s Standard deviations: 216s [1] 3.86155 2.83460 0.95394 216s ---------------------------------------------------------- 216s hbk 75 3 3 3.714805 3.187126 216s Scores: 216s PC1 PC2 PC3 216s 1 8.423138 24.765818 19.413334 216s 2 7.823138 25.295092 20.356662 216s 3 9.023138 27.411905 20.218454 216s 4 8.223138 28.010236 21.568269 216s 5 8.623138 27.442650 21.123471 216s 6 9.123138 25.601873 20.279943 216s 7 8.823138 25.463855 20.770811 216s 8 8.223138 25.264348 19.451646 216s 9 8.023138 27.373593 20.716984 216s 10 7.623138 26.752275 19.666288 216s 11 9.323138 31.108975 24.313778 216s 12 10.323138 33.179719 23.469966 216s 13 10.323138 29.958667 26.231274 216s 14 9.323138 29.345676 34.207755 216s 15 1.723138 -0.077538 0.754886 216s 16 1.423138 -1.818609 -0.080979 216s 17 -1.676862 -1.872341 -0.686878 216s 18 0.623138 -0.077633 -0.548955 216s 19 -0.876862 -0.576068 0.716574 216s 20 1.423138 -0.016144 1.261078 216s 21 0.923138 -0.223313 0.041619 216s 22 -1.276862 -0.299937 1.038679 216s 23 0.323138 -1.327742 0.057038 216s 24 -0.376862 -1.626860 0.034051 216s 25 -0.676862 -1.550331 -2.266849 216s 26 -0.776862 0.290637 1.184359 216s 27 1.623138 0.750760 0.417361 216s 28 0.123138 -0.016334 -1.346603 216s 29 -0.476862 -1.220468 -1.338846 216s 30 -0.476862 1.387213 -1.339036 216s 31 1.423138 -1.059368 -0.824991 216s 32 -1.176862 -1.833934 0.118433 216s 33 -0.176862 -0.691099 0.908323 216s 34 -1.276862 -1.251213 -2.243862 216s 35 1.423138 0.858128 0.325317 216s 36 -0.576862 0.574335 0.102918 216s 37 -1.576862 0.413330 0.892903 216s 38 -0.176862 -1.841691 -1.085702 216s 39 0.423138 -0.752683 -2.205550 216s 40 -1.176862 -0.905930 -0.211430 216s 41 1.723138 0.819721 -0.479993 216s 42 -1.376862 0.666284 -1.093554 216s 43 -1.576862 -1.304659 1.061761 216s 44 0.123138 1.203126 -1.553772 216s 45 0.223138 -1.358581 -2.151818 216s 46 0.123138 1.003714 -1.569097 216s 47 1.323138 -1.159169 -2.136494 216s 48 1.423138 0.919427 -0.472331 216s 49 1.423138 -0.246300 0.340737 216s 50 0.423138 0.727773 0.716479 216s 51 0.623138 -1.665267 -0.771259 216s 52 1.623138 -0.798657 -1.607314 216s 53 -1.376862 1.310494 -1.645816 216s 54 -0.576862 -1.879908 0.716669 216s 55 -1.176862 -1.235698 0.164407 216s 56 0.123138 -1.296997 0.962055 216s 57 0.123138 -1.304849 -1.545920 216s 58 0.723138 -0.714086 1.207441 216s 59 -0.076862 0.881115 0.026199 216s 60 -1.376862 1.226208 -0.549050 216s 61 -1.276862 0.781504 1.322377 216s 62 -0.776862 -1.657699 -2.174806 216s 63 -0.576862 -1.956627 0.409888 216s 64 1.123138 0.712448 0.915891 216s 65 0.323138 0.689271 -1.392672 216s 66 -1.476862 -1.289430 -0.441492 216s 67 -0.076862 -0.905930 -0.211430 216s 68 -1.576862 -0.852389 -2.213213 216s 69 0.323138 -1.696011 -1.676276 216s 70 -0.676862 0.773747 0.118243 216s 71 0.523138 0.152524 0.371386 216s 72 -1.076862 -0.606812 -0.188443 216s 73 -1.376862 0.114117 -0.433924 216s 74 -1.676862 -0.522431 0.018632 216s 75 -1.376862 0.612552 -1.699453 216s ------------- 216s Call: 216s PcaGrid(x = x) 216s 216s Standard deviations: 216s [1] 1.9274 1.7853 1.6714 216s ---------------------------------------------------------- 216s milk 86 8 8 9.206694 2.910585 216s Scores: 216s PC1 PC2 PC3 PC4 PC5 PC6 216s [1,] 6.090978 0.590424 1.1644466 -0.3835606 1.0342867 -0.4752288 216s [2,] 6.903009 -0.575027 0.8613622 -1.1221795 0.7221616 -1.3097951 216s [3,] 0.622903 -1.594239 1.2122863 -0.0555128 0.3252629 -0.2799581 216s [4,] 5.282665 -1.815742 2.2543268 0.9824543 -0.5345577 -0.7331037 216s [5,] -1.039753 0.663906 0.3353811 0.3070599 -0.3224317 -0.4056666 216s [6,] 2.247786 0.218255 -0.3382923 0.1270005 -0.0271307 -0.2035021 216s [7,] 2.784293 -0.291678 -0.4897587 0.0198481 0.0752345 -0.5986846 216s [8,] 2.942266 0.315608 0.1603961 0.3568462 -0.0647311 -0.5316127 216s [9,] -1.420086 -1.751212 1.7027572 0.0708340 -0.9226517 0.0738411 216s [10,] -2.921113 -0.727554 0.0113966 -0.3915037 -0.0772913 0.6062573 216s [11,] -9.568075 0.792291 1.0217507 0.2554182 -0.6254883 0.8899897 216s [12,] -12.885166 3.423607 -1.2579351 -0.4300397 -0.4094558 1.1727128 216s [13,] -10.038470 1.274931 -2.6913262 -1.6219658 -0.3284974 1.1228303 216s [14,] -12.044003 2.096254 -1.2859668 -0.9602250 -0.7937418 0.8264019 216s [15,] -10.798341 1.159257 1.4870766 0.3248231 -1.0787537 0.8723637 216s [16,] -2.841629 0.500846 0.4771762 0.5975365 0.3197882 0.5804087 216s [17,] -1.150691 -1.978038 2.3229313 0.5275273 -0.5339514 0.5421631 216s [18,] -1.992369 1.131288 -0.8385615 0.1156462 0.2253010 -0.3393814 216s [19,] -1.999699 -0.252876 1.2229972 0.5081648 0.0082612 0.3373454 216s [20,] 0.091385 -1.439422 1.1836134 0.6297789 0.0961407 -0.2126653 216s [21,] -2.571346 2.280701 -1.2845660 0.1463583 0.0949331 0.0902039 216s [22,] -0.990078 1.087033 -0.1638640 -0.0351472 0.0743205 -0.0040605 216s [23,] -0.010631 1.704171 0.0038808 0.5765418 0.6086460 0.0329995 216s [24,] -0.440350 1.500798 0.2769870 0.5556999 0.4751445 0.6516120 216s [25,] -3.578249 2.672783 -0.3534268 0.7398104 0.1108289 0.2704730 216s [26,] -0.854914 1.626684 0.2301131 0.5530224 0.0662862 -0.0999969 216s [27,] -3.175381 0.762609 0.5101987 0.0849002 -0.2137237 0.2729808 216s [28,] 2.599844 3.370137 -0.5174736 0.7409946 0.6853156 0.2430943 216s [29,] 4.395534 0.823611 0.1610152 0.8184845 0.7665555 0.0779724 216s [30,] 0.843794 1.438263 -0.2366601 0.4600650 0.3424806 -0.1768083 216s [31,] 1.890815 1.266935 -1.8218143 -0.3909337 0.8390127 0.1026821 216s [32,] 1.300145 -0.085976 -0.8965312 -0.8855787 0.4156780 0.1478055 216s [33,] 1.923087 0.137638 0.3487435 0.2958367 0.4245932 0.1566678 216s [34,] 0.615762 -0.390711 0.8107376 0.0295536 -0.1169590 0.2940241 216s [35,] -0.372946 2.037079 -0.7663299 0.1907237 0.6959350 0.5366205 216s [36,] 4.068134 1.129044 0.5492962 0.7640964 0.4799859 -0.4080205 216s [37,] 0.937617 2.048258 -1.2326566 -0.0942856 0.7885267 -0.1004018 216s [38,] 2.141223 1.877022 -0.5178216 0.3750868 0.4767003 0.1240656 216s [39,] -1.403505 1.327163 0.3165610 0.3989824 0.3505825 0.5915956 216s [40,] 3.337528 -1.689495 1.4737175 0.2584843 0.4308444 -0.0810597 216s [41,] 3.938506 1.384908 0.8103687 -0.5875595 1.1616535 -0.6492603 216s [42,] 6.327471 -1.061362 1.9861187 1.1016484 0.3512405 -0.1540592 216s [43,] 3.120160 -0.064108 -0.8370717 -0.2229341 0.5623447 -0.7152184 216s [44,] 5.290520 -0.669008 0.8597130 0.5518503 0.2470856 0.6454703 216s [45,] 0.058291 0.356399 -0.1896007 0.2427518 0.3705541 0.3975085 216s [46,] 0.150881 1.942057 -0.1140726 0.5656469 0.5227623 0.2151825 216s [47,] 2.870881 -1.446283 -2.8450062 -1.7292144 -0.0888429 -0.1347003 216s [48,] 0.335593 0.500884 -1.3154520 -0.3874864 0.3449038 0.5387692 216s [49,] -2.179494 -0.021237 -1.7792344 -0.8445930 0.4435338 0.6547961 216s [50,] 2.968304 -2.588546 1.8552104 0.4590101 -0.1755089 -0.0550378 216s [51,] -1.399208 -0.820296 -1.3660014 -0.8890243 -0.2344105 0.1236943 216s [52,] -5.112989 0.318983 -1.3852993 -0.8461529 -0.3467685 0.7349666 216s [53,] -0.773103 -0.267333 -0.8154896 -0.3783062 0.0113880 -0.3304648 216s [54,] -0.244565 -0.066211 -0.2541557 0.0043037 0.0390890 0.0074067 216s [55,] 0.894921 0.516411 -0.4443369 0.0708354 -0.0637890 -0.2799646 216s [56,] -0.038706 -0.588256 0.3166588 -0.0196663 -0.1793472 -0.1179341 216s [57,] -1.377469 0.428939 0.7502430 0.1458375 -0.3818977 -0.0380258 216s [58,] 0.042787 1.488605 0.0252606 0.6377516 -0.1524172 -0.1898723 216s [59,] -1.734357 -0.966494 -0.1026850 -0.5656888 -0.4831402 0.0308069 216s [60,] -1.501991 -0.544918 -0.0837127 -0.2362486 -0.5382026 -0.1351338 216s [61,] -0.175102 -1.339436 0.8403933 -0.0907428 -0.4846145 -0.2795153 216s [62,] 2.100915 -2.004702 1.3031556 -0.0041957 -0.2067776 -0.0793613 216s [63,] 2.735432 -0.102018 0.3215454 0.5331904 -0.1499209 -0.3536272 216s [64,] 2.735432 -0.102018 0.3215454 0.5331904 -0.1499209 -0.3536272 216s [65,] -0.665219 -2.325594 1.6287363 0.0607163 -0.6996720 0.1353325 216s [66,] -2.439244 -0.737375 0.0187770 -0.4561269 -0.5425315 -0.0208332 216s [67,] 0.121564 -1.214385 0.4877707 0.1809998 -0.1943262 0.0662506 216s [68,] -0.804267 -2.238327 -0.8547917 -1.3449926 -0.3577254 -0.0293779 216s [69,] -0.761319 -0.676391 -0.0245494 0.2262894 -0.3396872 -0.1166505 216s [70,] 3.385399 4.360467 -0.7946150 -0.0417895 0.4474362 -4.6626174 216s [71,] -2.364955 -1.257673 0.5226907 -0.2346145 -0.7838777 0.1815821 216s [72,] 2.334511 -0.794530 0.0175620 0.1848925 -0.3437761 -0.4522442 216s [73,] -2.023440 -2.449907 0.2525041 -0.6657474 -0.5509480 0.2118442 216s [74,] -11.180192 2.456516 1.1036540 0.8711496 -0.3833194 1.3548314 216s [75,] 0.058297 -2.094811 0.3075211 -0.8052760 -0.9527729 0.5850255 216s [76,] -1.355742 -0.464355 -1.0183333 -0.8525619 -0.1577144 -0.0767323 216s [77,] -8.296881 0.945092 0.8088967 -0.0071463 -0.4527530 1.0614233 216s [78,] 1.251696 -1.460466 0.2511701 -0.2717606 -0.3158308 -0.2964813 216s [79,] -0.192380 -0.662365 -0.3671703 -0.6722658 -0.1243452 -0.2388225 216s [80,] -3.355201 1.915096 -0.1086672 0.3560062 0.0956865 0.6974817 216s [81,] 1.245305 0.736787 -0.1662155 0.1309822 -0.0122872 -0.2182528 216s [82,] 2.679561 -1.666401 1.1576691 0.3960280 -0.0059146 0.0584136 216s [83,] 2.596651 -0.556654 -0.0807307 -0.4468501 0.0964927 -0.3922894 216s [84,] 0.959377 -0.272038 -1.5879803 -1.1153057 0.3412508 -0.1281556 216s [85,] 0.602737 -1.384591 2.8844745 0.9479144 -0.7946454 -0.2014038 216s [86,] 0.698125 0.335743 -1.5248055 -0.4443037 0.0768256 -0.1999790 216s PC7 PC8 216s [1,] 0.9281777 -0.05158594 216s [2,] 0.8397946 -0.04276628 216s [3,] -0.5189230 0.04913688 216s [4,] -0.0178377 0.01578074 216s [5,] -0.0129237 0.01056305 216s [6,] -0.0764270 0.01469518 216s [7,] -0.3059779 0.04237267 216s [8,] -0.0684673 0.02289928 216s [9,] -0.2549733 -0.00832119 216s [10,] -0.0578118 -0.01894694 216s [11,] 0.0415545 -0.03474479 216s [12,] 0.0869267 -0.04485633 216s [13,] -0.2843977 -0.03100709 216s [14,] -0.3375083 -0.02155574 216s [15,] -0.1718828 -0.02996980 216s [16,] -0.4176728 0.03232381 216s [17,] -0.5923252 0.01765700 216s [18,] -0.3190679 0.04476532 216s [19,] -0.0279426 -0.00236626 216s [20,] 0.1299811 0.00586022 216s [21,] 0.0474059 0.00563264 216s [22,] -0.1240299 0.01123557 216s [23,] 0.2232631 0.00551065 216s [24,] 0.0122404 0.00060079 216s [25,] 0.2627442 -0.00824800 216s [26,] 0.2257329 -0.00440907 216s [27,] -0.8496967 0.05266701 216s [28,] 0.3473502 -0.00500580 216s [29,] 0.4172329 -0.00542705 216s [30,] 0.2773880 -0.00014648 216s [31,] -0.1224270 0.02372808 216s [32,] -0.2224748 0.00757892 216s [33,] -0.0633903 0.01236118 216s [34,] -0.2616599 0.00561781 216s [35,] -0.1671986 0.01988458 216s [36,] 0.4502086 -0.00418541 216s [37,] -0.0773232 0.02768282 216s [38,] 0.0464683 0.01134849 216s [39,] -0.0927182 0.00555823 216s [40,] -0.2162796 0.02467605 216s [41,] 0.9440753 -0.04806541 216s [42,] -0.0078920 0.02022925 216s [43,] 0.1152244 0.02074199 216s [44,] 1.0406693 -0.08815111 216s [45,] -0.1376804 0.01424369 216s [46,] 0.1673461 0.00442877 216s [47,] -0.4125225 0.01038694 216s [48,] 0.1556289 -0.02103354 216s [49,] 0.0434415 -0.01782739 216s [50,] 0.2518610 -0.02154540 216s [51,] -0.1186185 -0.00881133 216s [52,] 0.1507435 -0.04523343 216s [53,] 0.2161208 -0.00967982 216s [54,] 0.1374909 -0.00783970 216s [55,] 0.2417108 -0.00895268 216s [56,] 0.1253846 -0.01188643 216s [57,] 0.1390898 -0.01831232 216s [58,] 0.2219634 -0.00364174 216s [59,] -0.2045636 -0.00589047 216s [60,] -0.3679942 0.01673699 216s [61,] -0.0705611 -0.00273407 216s [62,] 0.1447701 -0.02026768 216s [63,] -0.1854788 0.02686899 216s [64,] -0.1854788 0.02686899 216s [65,] -0.2626650 -0.00376657 216s [66,] -0.3044266 0.00484197 216s [67,] -0.1358811 0.00605789 216s [68,] -0.0551482 -0.02379410 216s [69,] -0.0914891 0.00812122 216s [70,] 10.2524854 -0.64367029 216s [71,] -0.1326972 -0.01666774 216s [72,] 0.0051905 0.00656777 216s [73,] -0.8236843 0.03367265 216s [74,] 0.2140104 -0.04092219 216s [75,] -0.5684260 -0.00987116 216s [76,] -0.1225779 -0.00204629 216s [77,] -0.4235612 -0.00450631 216s [78,] -0.1935155 0.00973901 216s [79,] -0.1615883 0.00518643 216s [80,] 0.2915052 -0.02960159 216s [81,] 0.0908823 0.00038216 216s [82,] -0.3392789 0.02605374 216s [83,] 0.1112141 -0.00629308 216s [84,] 0.0510771 -0.00845572 216s [85,] 0.0748700 -0.01174487 216s [86,] 0.2488127 -0.01446339 216s ------------- 216s Call: 216s PcaGrid(x = x) 216s 216s Standard deviations: 216s [1] 3.034253 1.706044 1.167717 0.670864 0.536071 0.396285 0.266625 0.020768 216s ---------------------------------------------------------- 216s bushfire 38 5 5 38232.614428 1580.825276 216s Scores: 216s PC1 PC2 PC3 PC4 PC5 216s [1,] -67.120 -23.70481 -1.06551 1.129721 1.311630 216s [2,] -69.058 -21.42113 -1.54798 0.983735 0.430774 216s [3,] -61.939 -17.23665 -3.81386 -0.635074 -0.600149 216s [4,] -44.952 -16.53458 -5.16114 0.411753 -0.390518 216s [5,] -12.644 -21.62271 -7.14146 3.519877 -1.211923 216s [6,] 12.820 -27.86930 -7.66114 7.230422 0.040330 216s [7,] -194.634 -100.67730 27.43084 -0.026242 -0.134248 216s [8,] -229.349 -129.75912 -19.46346 25.591651 -18.592601 216s [9,] -230.306 -131.28743 -22.22175 27.251157 -19.214683 216s [10,] -231.118 -115.10815 3.70208 16.303210 -10.573515 216s [11,] -234.540 -100.24984 13.67112 10.325539 -8.727961 216s [12,] -246.507 -51.03515 27.61698 -5.352226 0.514087 216s [13,] -195.712 -5.81324 20.04485 -9.226807 1.721886 216s [14,] 49.881 16.90911 -9.97400 -1.900739 2.190429 216s [15,] 179.545 23.96999 -18.71166 -2.987136 1.332713 216s [16,] 135.356 15.81282 -9.24353 -4.703584 0.971669 216s [17,] 132.350 16.65014 -7.01838 -2.428578 1.346198 216s [18,] 121.499 9.75832 -4.45699 -1.587450 0.131923 216s [19,] 125.222 9.17601 -5.88919 0.582516 -0.061642 216s [20,] 135.112 14.63812 -5.90351 0.411704 1.460488 216s [21,] 116.581 14.47390 -3.04021 -1.842579 2.005998 216s [22,] 108.223 14.62103 -4.47428 -1.196993 3.288463 216s [23,] -22.095 3.26439 6.58391 -6.164581 2.125258 216s [24,] -77.831 3.46616 6.59280 -6.373595 1.545789 216s [25,] -13.092 3.41344 -0.99296 -5.076733 0.299636 216s [26,] -19.206 -0.17007 -1.84209 -4.858675 0.347945 216s [27,] -35.022 6.54155 -3.12767 -3.556587 -0.327873 216s [28,] -12.651 20.14894 -4.61607 -2.025539 -1.214190 216s [29,] -4.404 36.39823 -3.81590 -0.633155 -0.602027 216s [30,] -60.018 30.40980 9.44610 -1.763156 -0.765133 216s [31,] 67.689 47.40087 12.70229 9.791794 -0.671751 216s [32,] 324.134 63.46147 31.52512 30.099817 2.406344 216s [33,] 364.639 38.84260 51.20467 30.648590 3.218678 216s [34,] 361.089 37.09494 52.00522 29.394356 2.861158 216s [35,] 366.403 38.88889 52.31879 29.878844 4.650618 216s [36,] 363.821 37.40859 53.10394 28.286557 2.922632 216s [37,] 361.761 37.21276 55.73012 27.648760 4.477279 216s [38,] 363.106 37.78395 56.56345 27.460078 4.845396 216s ------------- 216s Call: 216s PcaGrid(x = x) 216s 216s Standard deviations: 216s [1] 195.5316 39.7596 11.7329 7.3743 1.7656 216s ---------------------------------------------------------- 216s ========================================================== 216s > 216s > ## IGNORE_RDIFF_BEGIN 216s > dodata(method="proj") 216s 216s Call: dodata(method = "proj") 216s Data Set n p k e1 e2 216s ========================================================== 216s heart 12 2 2 512.772467 29.052346 216s Scores: 216s PC1 PC2 216s [1,] 6.7568 3.2826 216s [2,] 63.0869 14.1293 216s [3,] 1.3852 -1.1318 216s [4,] -3.6709 1.8153 216s [5,] 19.0457 3.8035 216s [6,] -16.6413 3.1452 216s [7,] 5.3163 3.7464 216s [8,] -27.8536 -11.0863 216s [9,] -1.1638 -1.1788 216s [10,] -26.6915 -10.2803 216s [11,] -13.6842 -2.9790 216s [12,] 47.8395 11.2980 216s ------------- 216s Call: 216s PcaProj(x = x) 216s 216s Standard deviations: 216s [1] 22.644 5.390 216s ---------------------------------------------------------- 216s starsCYG 47 2 2 0.470874 0.024681 216s Scores: 216s PC1 PC2 216s [1,] 0.181333 -3.1013e-02 216s [2,] 0.696091 1.4569e-01 216s [3,] -0.121421 -1.3319e-01 216s [4,] 0.696091 1.4569e-01 216s [5,] 0.139530 -9.9951e-02 216s [6,] 0.413590 5.2989e-02 216s [7,] -0.412224 -5.4579e-01 216s [8,] 0.226508 1.6788e-01 216s [9,] 0.518364 -1.4980e-01 216s [10,] 0.071370 -2.8159e-02 216s [11,] 0.658332 -9.2369e-01 216s [12,] 0.402815 2.3259e-02 216s [13,] 0.374123 7.4020e-02 216s [14,] -1.007611 -3.6028e-01 216s [15,] -0.790417 -8.5818e-02 216s [16,] -0.467151 3.5835e-02 216s [17,] -1.111866 -1.3750e-01 216s [18,] -0.867017 4.6214e-02 216s [19,] -0.871946 -1.4372e-01 216s [20,] 0.818278 -9.2784e-01 216s [21,] -0.670457 -8.8932e-02 216s [22,] -0.830403 -8.4781e-02 216s [23,] -0.627097 3.9987e-02 216s [24,] -0.195426 9.8806e-02 216s [25,] -0.028337 -1.5568e-02 216s [26,] -0.387178 3.3760e-02 216s [27,] -0.390551 -9.6197e-02 216s [28,] -0.148297 -1.2454e-02 216s [29,] -0.662277 -1.5917e-01 216s [30,] 0.977965 -9.4199e-01 216s [31,] -0.628135 -7.2164e-16 216s [32,] 0.056306 1.6230e-01 216s [33,] 0.173412 4.9220e-02 216s [34,] 1.218143 -9.3822e-01 216s [35,] -0.712000 -1.4787e-01 216s [36,] 0.577688 2.0878e-01 216s [37,] 0.055528 1.3231e-01 216s [38,] 0.173412 4.9220e-02 216s [39,] 0.135501 1.3023e-01 216s [40,] 0.522775 2.0145e-02 216s [41,] -0.428203 -5.1892e-03 216s [42,] 0.013465 5.3371e-02 216s [43,] 0.294668 9.6089e-02 216s [44,] 0.293371 4.6106e-02 216s [45,] 0.495898 1.4088e-01 216s [46,] -0.066508 5.5447e-02 216s [47,] -0.547124 3.7911e-02 216s ------------- 216s Call: 216s PcaProj(x = x) 216s 216s Standard deviations: 216s [1] 0.6862 0.1571 216s ---------------------------------------------------------- 216s phosphor 18 2 2 388.639033 51.954664 216s Scores: 216s PC1 PC2 216s 1 5.8164 -15.1691 216s 2 -21.1936 -2.1132 216s 3 -23.6199 2.0585 216s 4 -11.2029 -6.7203 216s 5 -18.4220 1.3231 216s 6 17.1862 -19.2211 216s 7 1.6302 -3.1493 216s 8 -9.7695 3.1385 216s 9 -10.9174 5.3594 216s 10 15.6275 -6.3610 216s 11 -4.0194 1.2476 216s 12 9.3931 8.3149 216s 13 12.9944 6.5741 216s 14 6.9396 7.8348 216s 15 18.3964 3.9629 216s 16 -8.8365 -6.4202 216s 17 21.8073 6.4237 216s 18 16.8541 12.2611 216s ------------- 216s Call: 216s PcaProj(x = x) 216s 216s Standard deviations: 216s [1] 19.714 7.208 216s ---------------------------------------------------------- 216s stackloss 21 3 3 97.347030 38.052774 216s Scores: 216s PC1 PC2 PC3 216s [1,] 19.08066 -9.06092 -2.64544 216s [2,] 18.55152 -9.90152 -2.76118 216s [3,] 15.04269 -5.37517 -2.31373 216s [4,] 2.79667 -1.78925 1.70823 216s [5,] 2.21768 -1.17513 -0.10495 216s [6,] 2.50717 -1.48219 0.80164 216s [7,] 5.97151 3.25438 2.40268 216s [8,] 5.97151 3.25438 2.40268 216s [9,] -0.68332 0.30263 2.42495 216s [10,] -5.83478 -4.04630 -2.91819 216s [11,] -1.07253 3.51914 -1.87651 216s [12,] -1.89116 2.98559 -2.89885 216s [13,] -4.77650 -2.36509 -2.68671 216s [14,] 1.33353 6.57450 -0.50696 216s [15,] -7.45351 7.08878 1.37012 216s [16,] -9.04093 4.56697 1.02289 216s [17,] -16.15938 -7.50855 0.30909 216s [18,] -12.45541 -1.62432 1.11929 216s [19,] -11.63677 -1.09077 2.14162 216s [20,] -5.79275 -2.08680 -0.06187 216s [21,] 10.13623 -0.76824 -4.70180 216s ------------- 216s Call: 216s PcaProj(x = x) 216s 216s Standard deviations: 216s [1] 9.8665 6.1687 3.2669 216s ---------------------------------------------------------- 216s salinity 28 3 3 12.120566 8.431549 216s Scores: 216s PC1 PC2 PC3 216s 1 -2.52547 1.45945 -1.1943e-01 216s 2 -3.32298 2.15704 8.7594e-01 216s 3 -6.64947 -3.26398 1.0135e+00 216s 4 -6.64427 -1.81382 -1.6392e-01 216s 5 -6.16898 -2.52222 5.1373e+00 216s 6 -5.87594 0.26440 -2.4425e-15 216s 7 -4.23084 1.46250 -2.8008e-01 216s 8 -2.21502 2.76478 -8.3789e-01 216s 9 -0.40186 -2.17785 -1.6702e+00 216s 10 2.27089 -1.84923 7.3391e-01 216s 11 1.37935 -1.29276 2.1418e+00 216s 12 -0.22635 0.60372 -5.0980e-01 216s 13 0.27224 1.73920 -7.0505e-01 216s 14 2.36592 2.40462 6.4320e-01 216s 15 2.37640 -2.83174 5.2669e-01 216s 16 -2.49175 -4.77664 9.0404e+00 216s 17 -0.61250 -1.11672 1.4398e+00 216s 18 -2.91853 0.63310 -8.3666e-01 216s 19 -0.39732 -2.02029 -2.1396e+00 216s 20 1.47554 -1.23407 -1.1712e+00 216s 21 1.70104 1.92401 -1.1292e+00 216s 22 3.14437 2.81928 -5.2415e-01 216s 23 3.62890 -3.51450 2.6740e+00 216s 24 2.04538 -2.63992 3.0718e+00 216s 25 0.77088 -0.54783 -1.3370e-01 216s 26 1.57254 0.89176 -1.2089e+00 216s 27 2.63610 1.97075 -1.1855e+00 216s 28 3.55112 2.67606 -6.0915e-02 216s ------------- 216s Call: 216s PcaProj(x = x) 216s 216s Standard deviations: 216s [1] 3.4815 2.9037 1.3810 216s ---------------------------------------------------------- 216s hbk 75 3 3 3.801978 3.574192 216s Scores: 216s PC1 PC2 PC3 216s 1 28.747049 15.134042 2.3959241 216s 2 29.021724 16.318941 2.6207988 216s 3 31.271908 15.869319 3.4420860 216s 4 31.586189 17.508798 3.6246706 216s 5 31.299168 16.838093 3.2402573 216s 6 30.037754 15.591930 2.1421166 216s 7 29.888160 16.139376 1.9750096 216s 8 28.994463 15.350167 2.8226275 216s 9 30.758047 16.820526 3.7269602 216s 10 29.759314 16.079531 4.0486097 216s 11 35.301371 19.637962 3.7433562 216s 12 37.193371 18.709303 4.9915250 216s 13 35.634808 20.497713 1.4740727 216s 14 36.816439 27.523024 -2.3006796 216s 15 1.237203 -0.331072 -1.3801401 216s 16 -0.451166 -1.118847 -1.9707479 216s 17 -2.604733 0.067276 0.0130015 216s 18 0.179177 -0.804398 -0.1285240 216s 19 -0.765512 0.982349 -0.2513990 216s 20 1.236727 0.259123 -1.4210070 216s 21 0.428326 -0.503724 -0.6830690 216s 22 -0.724774 1.507943 -0.0022175 216s 23 -0.745349 -0.330094 -1.0982084 216s 24 -1.407850 -0.011831 -0.8987075 216s 25 -2.190427 -1.732051 0.4497793 216s 26 0.058631 1.444044 0.0446166 216s 27 1.680557 -0.429402 -0.6031146 216s 28 -0.315122 -1.179169 0.5822607 216s 29 -1.563355 -1.026914 0.1040012 216s 30 0.329957 -0.633156 1.8533795 216s 31 -0.110108 -1.617131 -1.0958807 216s 32 -2.035875 0.463421 -0.6346632 216s 33 -0.356033 0.740564 -0.8116369 216s 34 -2.342887 -1.340168 0.9724491 216s 35 1.607131 -0.379763 -0.3747630 216s 36 0.084455 0.486671 0.6551654 216s 37 -0.436144 1.659467 0.7145344 216s 38 -1.754819 -1.076076 -0.6037590 216s 39 -0.904375 -2.161949 0.3436723 216s 40 -1.455274 0.331839 0.1499308 216s 41 1.539788 -1.212921 -0.1715110 216s 42 -0.688338 -0.048173 1.7491184 216s 43 -1.635822 1.539067 -0.5208916 216s 44 0.511762 -1.165641 1.5020865 216s 45 -1.454500 -2.099954 0.0219268 216s 46 0.362645 -1.208389 1.3758464 216s 47 -0.615800 -2.658098 -0.4629006 216s 48 1.426278 -1.027667 0.0582638 216s 49 0.809592 -0.533893 -1.1232120 216s 50 0.996105 0.469082 -0.0988805 216s 51 -1.036368 -1.227376 -1.0843166 216s 52 -0.016464 -2.331540 -0.6477169 216s 53 -0.376625 -0.405855 2.4526088 216s 54 -1.524100 0.621590 -1.2927429 216s 55 -1.588523 0.591668 -0.2559428 216s 56 -0.592710 0.529426 -1.4111404 216s 57 -1.306991 -1.538024 -0.1841717 216s 58 0.275991 0.491888 -1.4739863 216s 59 0.598971 0.196673 0.6208960 216s 60 -0.127953 0.485014 1.8571970 216s 61 0.140584 1.905037 0.5838465 216s 62 -2.305069 -1.617811 0.3880825 216s 63 -1.666479 0.357251 -1.1934779 216s 64 1.480143 0.248671 -0.5959984 216s 65 0.309561 -1.219790 0.9671263 216s 66 -1.986789 0.248245 0.1723620 216s 67 -0.765691 -0.269054 -0.4611368 216s 68 -2.232721 -1.090790 1.3915841 216s 69 -1.502453 -1.813763 -0.4936268 216s 70 0.170883 0.584046 0.8369571 216s 71 0.543623 0.043244 -0.3707674 216s 72 -1.168908 0.341335 0.2837393 216s 73 -0.902885 0.411872 1.0546196 216s 74 -1.425273 0.852445 0.5719123 216s 75 -0.898536 -0.555475 2.0107684 216s ------------- 216s Call: 216s PcaProj(x = x) 216s 216s Standard deviations: 216s [1] 1.9499 1.8906 1.2797 216s ---------------------------------------------------------- 216s milk 86 8 8 8.369408 3.530461 216s Scores: 216s PC1 PC2 PC3 PC4 PC5 PC6 216s [1,] 6.337004 -0.245000 0.7704092 -4.9848e-01 -1.6599e-01 1.1763e-01 216s [2,] 7.021899 1.030349 0.2832977 -1.2673e+00 -8.7296e-01 2.0547e-01 216s [3,] 0.600831 1.686247 0.9682032 -3.2663e-02 7.4112e-02 4.7412e-01 216s [4,] 5.206465 2.665956 1.5942253 9.8285e-01 -5.4159e-01 -2.0155e-01 216s [5,] -0.955757 -0.579889 0.3206393 5.1174e-01 -6.1684e-01 -3.8990e-02 216s [6,] 2.198695 0.073770 -0.5712493 1.9440e-01 -1.0237e-01 4.1825e-02 216s [7,] 2.695361 0.644049 -0.8645373 8.1894e-02 -2.6953e-01 1.6884e-01 216s [8,] 2.945361 0.137227 -0.2071463 5.0841e-01 -4.2075e-01 5.8589e-02 216s [9,] -1.539013 1.879894 1.6952390 1.6792e-01 -2.8195e-01 5.0563e-02 216s [10,] -2.977110 0.319666 0.3515636 -5.2496e-01 4.6898e-01 8.5978e-03 216s [11,] -9.375355 -1.638105 1.9026171 4.1237e-01 1.8768e-02 -1.8546e-01 216s [12,] -12.602600 -4.715888 0.0273004 -4.7798e-02 -1.2246e-02 9.6858e-03 216s [13,] -10.114331 -2.487462 -1.6331544 -1.5139e+00 4.1903e-01 2.8313e-01 216s [14,] -11.949336 -3.190157 -0.2146943 -5.0060e-01 -2.9537e-01 3.2160e-01 216s [15,] -10.595396 -1.905517 2.3716887 7.6651e-01 -3.3531e-01 1.9933e-02 216s [16,] -2.735720 -0.748282 0.6750464 7.2415e-01 5.5304e-01 2.2283e-01 216s [17,] -1.248116 2.131195 2.2596886 6.4958e-01 3.5634e-01 2.9021e-01 216s [18,] -1.904210 -1.285804 -0.7746460 3.0198e-01 -2.7407e-01 1.7500e-01 216s [19,] -1.902313 0.095461 1.3824711 5.0369e-01 2.2193e-01 -5.5628e-02 216s [20,] 0.123220 1.399444 1.1517634 3.2546e-01 7.8261e-02 -4.0733e-01 216s [21,] -2.436023 -2.524827 -1.0197416 3.4819e-01 -1.4914e-01 -4.3669e-02 216s [22,] -0.904931 -1.114894 -0.1235807 2.0285e-01 -1.6200e-01 2.5681e-01 216s [23,] 0.220231 -1.767325 0.0482262 6.4418e-01 9.8618e-02 -5.7683e-02 216s [24,] -0.274403 -1.561826 0.3820323 7.0016e-01 5.5220e-01 1.4376e-01 216s [25,] -3.306400 -2.980247 0.0252488 9.4001e-01 -1.0841e-01 -2.5303e-01 216s [26,] -0.658015 -1.625199 0.3021005 7.2702e-01 -3.0299e-01 -1.2339e-01 216s [27,] -3.137066 -0.774218 0.5577497 6.4188e-01 -8.0125e-02 7.7819e-01 216s [28,] 2.867950 -3.099435 -0.6435415 1.0366e+00 1.5908e-01 7.6524e-02 216s [29,] 4.523097 -0.527338 -0.1032516 6.4537e-01 4.7286e-01 -2.7166e-01 216s [30,] 1.002381 -1.376693 -0.2735956 5.0522e-01 -1.2750e-01 -1.6178e-01 216s [31,] 1.894615 -1.296202 -1.9117282 -3.8032e-01 4.6473e-01 3.1085e-01 216s [32,] 1.210291 0.067230 -0.9832930 -8.5379e-01 3.2823e-01 4.9994e-01 216s [33,] 1.964118 0.022175 0.1818518 3.0464e-01 3.5596e-01 1.4985e-01 216s [34,] 0.576738 0.567851 0.6982155 1.8415e-01 1.8695e-01 3.2706e-01 216s [35,] -0.231793 -2.143909 -0.6825523 4.0681e-01 5.4492e-01 3.6259e-01 216s [36,] 4.250883 -0.719760 0.2157706 7.7167e-01 -1.9064e-01 -2.0611e-01 216s [37,] 1.077364 -2.054664 -1.3064867 1.0043e-01 8.6092e-02 3.5416e-01 216s [38,] 2.259260 -1.653588 -0.6730692 5.7300e-01 1.6930e-01 1.6986e-01 216s [39,] -1.251576 -1.451593 0.4671580 5.8957e-01 4.2672e-01 2.2495e-01 216s [40,] 3.304245 1.998193 1.0941231 1.3734e-01 3.7012e-01 2.4142e-01 216s [41,] 4.286315 -1.280951 0.5856744 -6.0980e-01 -4.3090e-01 1.9801e-01 216s [42,] 6.343820 1.801880 1.3481119 1.0355e+00 2.9802e-01 -8.4501e-04 216s [43,] 3.119491 0.214077 -1.1216236 -3.8134e-01 -1.9523e-01 -2.6706e-02 216s [44,] 5.285254 0.938072 0.7440487 1.1539e-02 8.1629e-01 -7.9286e-01 216s [45,] 0.082429 -0.416631 -0.1588203 2.3098e-01 5.1867e-01 9.4503e-02 216s [46,] 0.357862 -1.951997 -0.0731829 7.0393e-01 1.8828e-01 1.5707e-02 216s [47,] 2.428744 1.522538 -3.0467213 -1.9114e+00 2.4638e-01 3.5871e-01 216s [48,] 0.282348 -0.697287 -1.1592508 -5.4929e-01 6.2199e-01 -5.4596e-02 216s [49,] -2.266009 -0.559548 -1.3794914 -1.1300e+00 7.8872e-01 -2.0411e-02 216s [50,] 2.868649 2.860857 1.6128307 6.7382e-02 2.2344e-01 -4.1484e-01 216s [51,] -1.596061 0.546812 -1.1779327 -1.0512e+00 1.3522e-01 -9.4865e-03 216s [52,] -5.186121 -1.000829 -0.7440599 -9.6302e-01 3.0732e-01 -1.7009e-01 216s [53,] -0.800232 0.049087 -0.6946842 -5.8284e-01 -2.1277e-01 -2.7004e-01 216s [54,] -0.246388 -0.030606 -0.1814302 -1.1632e-01 5.7767e-02 -1.8637e-01 216s [55,] 0.914315 -0.428594 -0.4919557 4.5039e-02 -2.7868e-01 -2.2140e-01 216s [56,] -0.061827 0.583572 0.3263056 -1.1589e-01 -1.2973e-01 -1.6518e-01 216s [57,] -1.295979 -0.421943 0.8410805 3.0441e-01 -3.9478e-01 -4.5233e-02 216s [58,] 0.174908 -1.343854 0.0115086 8.0227e-01 -3.9364e-01 -2.2918e-01 216s [59,] -1.869684 0.840823 0.0109543 -5.5536e-01 -1.4155e-01 1.0613e-01 216s [60,] -1.614271 0.557309 -0.0690787 -9.1753e-02 -3.0975e-01 1.6192e-01 216s [61,] -0.258192 1.434984 0.7684636 -1.1998e-01 -3.4662e-01 -4.8808e-02 216s [62,] 2.000275 2.204730 1.1194067 -2.3783e-01 5.9953e-02 -1.5836e-01 216s [63,] 2.694063 0.555482 -0.0340910 6.4470e-01 -2.2417e-01 1.9442e-02 216s [64,] 2.694063 0.555482 -0.0340910 6.4470e-01 -2.2417e-01 1.9442e-02 216s [65,] -0.822201 2.427550 1.5859438 -2.6715e-16 -1.9429e-15 1.0564e-14 216s [66,] -2.545586 0.605953 0.1469837 -3.5318e-01 -2.5871e-01 1.6901e-01 216s [67,] 0.028900 1.253717 0.4474540 5.3595e-02 1.6063e-01 -1.0980e-01 216s [68,] -1.086135 1.968868 -0.7220293 -1.6576e+00 6.2061e-02 -7.0998e-04 216s [69,] -0.836638 0.660453 0.0049966 1.3663e-01 -1.0131e-01 -2.4008e-01 216s [70,] 4.843092 -6.035092 0.8250084 -3.4481e+00 -4.8538e+00 -7.8407e+00 216s [71,] -2.500038 1.146245 0.6967314 -2.4611e-01 -1.4266e-01 -8.2996e-02 216s [72,] 2.220676 1.122951 -0.2444075 1.1066e-01 -3.1540e-01 -2.1344e-01 216s [73,] -2.310518 2.354552 0.2706503 -6.4192e-01 2.0566e-01 4.5520e-01 216s [74,] -10.802799 -3.462655 2.2031446 1.1326e+00 2.8049e-01 -2.9749e-01 216s [75,] -0.301038 2.284366 0.2440764 -6.9450e-01 2.6435e-01 4.3129e-01 216s [76,] -1.477936 0.245154 -0.8869850 -8.9900e-01 -9.8013e-02 1.1983e-01 216s [77,] -8.169236 -1.599780 1.4987144 3.7767e-01 2.4726e-01 3.8246e-01 216s [78,] 1.096654 1.646072 0.0591327 -3.3138e-01 -1.7936e-01 6.2716e-02 216s [79,] -0.289199 0.625796 -0.3974294 -6.6099e-01 -2.0857e-01 2.1190e-01 216s [80,] -3.160557 -2.282579 0.3255355 4.6181e-01 2.7753e-01 -1.5673e-01 216s [81,] 1.284356 -0.548854 -0.2907281 2.4017e-01 -2.5254e-01 -1.4289e-03 216s [82,] 2.562817 2.019485 0.8249162 3.2973e-01 3.3866e-01 1.3889e-01 216s [83,] 2.538825 0.759863 -0.3142506 -5.1028e-01 -2.0539e-01 8.8979e-02 216s [84,] 0.841123 0.110035 -1.5793120 -1.2807e+00 1.2332e-01 1.6224e-01 216s [85,] 0.636271 1.793014 2.6824860 1.0329e+00 -4.8850e-01 -2.3012e-01 216s [86,] 0.633183 -0.426511 -1.4791366 -6.1314e-01 -7.0534e-02 -2.3778e-01 216s PC7 PC8 216s [1,] 1.0196e-01 -1.7180e-03 216s [2,] 2.6131e-01 -8.5191e-03 216s [3,] 6.9637e-01 -8.0573e-03 216s [4,] -1.3548e-01 -1.4969e-03 216s [5,] 3.1443e-02 -2.7307e-03 216s [6,] -2.5079e-01 3.6450e-03 216s [7,] 4.5377e-02 -2.6071e-03 216s [8,] -1.6060e-01 -2.3761e-04 216s [9,] -1.5152e-01 -4.3079e-04 216s [10,] 9.1089e-02 1.9536e-03 216s [11,] 2.5654e-01 -1.4875e-03 216s [12,] -2.3798e-03 -1.0954e-04 216s [13,] -1.3687e-01 2.8402e-03 216s [14,] -6.5248e-02 -1.5114e-03 216s [15,] 3.7695e-02 -2.7827e-03 216s [16,] 3.8131e-01 -3.7990e-03 216s [17,] 4.5661e-02 -1.4965e-03 216s [18,] 3.9910e-01 -7.2703e-03 216s [19,] 2.9353e-01 -3.3342e-03 216s [20,] 6.0915e-01 -6.0837e-03 216s [21,] -1.0079e-01 1.0179e-03 216s [22,] -2.2945e-02 -1.0515e-03 216s [23,] 2.3631e-01 -2.5558e-03 216s [24,] -7.7207e-02 3.4800e-03 216s [25,] 1.4903e-02 -3.2430e-04 216s [26,] 3.8032e-03 -2.1705e-03 216s [27,] 3.7208e-02 -3.0631e-03 216s [28,] -4.8147e-01 6.1089e-03 216s [29,] -4.0388e-02 2.8549e-03 216s [30,] 3.4318e-02 -1.0014e-03 216s [31,] -2.2872e-02 1.8706e-03 216s [32,] -8.4542e-02 1.3368e-03 216s [33,] 4.5274e-02 5.3383e-04 216s [34,] -2.0048e-01 2.4727e-03 216s [35,] -5.6482e-02 2.9923e-03 216s [36,] -2.6046e-02 -1.2910e-03 216s [37,] 9.6038e-02 -1.8897e-03 216s [38,] -2.9035e-01 4.4317e-03 216s [39,] -4.6322e-03 2.4336e-03 216s [40,] 3.8686e-01 -3.9300e-03 216s [41,] 3.7834e-01 -7.8976e-03 216s [42,] -8.2037e-04 -4.3106e-05 216s [43,] 3.3467e-01 -5.2401e-03 216s [44,] -6.2170e-01 1.2840e-02 216s [45,] 5.3557e-02 2.9156e-03 216s [46,] 5.1785e-04 2.0738e-03 216s [47,] -5.2141e-01 5.7206e-03 216s [48,] -2.7669e-01 6.7329e-03 216s [49,] 8.4319e-02 3.8528e-03 216s [50,] 1.4210e-01 1.6961e-04 216s [51,] -1.1871e-01 2.6676e-03 216s [52,] -2.5036e-01 6.4121e-03 216s [53,] 2.2399e-01 -2.8200e-03 216s [54,] 5.6532e-02 4.9304e-04 216s [55,] -1.4343e-01 1.2558e-03 216s [56,] 4.1682e-02 -9.6490e-04 216s [57,] -1.3014e-01 -6.2709e-04 216s [58,] -2.1428e-01 8.2594e-04 216s [59,] -7.9775e-02 -8.9776e-04 216s [60,] -8.6835e-02 -1.0498e-03 216s [61,] 6.2470e-02 -2.7499e-03 216s [62,] 3.3052e-02 -3.2369e-04 216s [63,] -1.7137e-01 -3.1087e-04 216s [64,] -1.7137e-01 -3.1087e-04 216s [65,] 3.5496e-14 2.5975e-12 216s [66,] -2.2016e-02 -1.2206e-03 216s [67,] 8.5160e-02 -1.4837e-04 216s [68,] -2.2535e-03 1.9054e-04 216s [69,] 5.9976e-02 -8.6961e-04 216s [70,] 1.0448e+00 -2.0167e-02 216s [71,] -1.7609e-01 1.9378e-03 216s [72,] -1.7047e-01 2.6076e-04 216s [73,] 1.1885e-01 -8.1624e-04 216s [74,] 2.0942e-01 3.3164e-03 216s [75,] -7.7528e-01 9.9316e-03 216s [76,] -4.6285e-03 2.5153e-04 216s [77,] 7.0218e-02 1.5708e-03 216s [78,] -1.4859e-02 -6.7049e-04 216s [79,] 5.1054e-02 -2.0198e-03 216s [80,] -1.5770e-01 4.9579e-03 216s [81,] -1.9411e-01 4.4401e-04 216s [82,] 6.0634e-02 8.7960e-04 216s [83,] -4.4635e-02 -1.7048e-03 216s [84,] -2.3612e-03 -2.2242e-04 216s [85,] -5.5171e-02 -1.1222e-03 216s [86,] -1.4972e-01 1.4543e-03 216s ------------- 216s Call: 216s PcaProj(x = x) 216s 216s Standard deviations: 216s [1] 2.8929930 1.8789522 0.9946460 0.7479403 0.3744197 0.2596328 0.1421387 216s [8] 0.0025753 216s ---------------------------------------------------------- 216s bushfire 38 5 5 37473.439646 1742.633018 216s Scores: 216s PC1 PC2 PC3 PC4 PC5 216s [1,] -67.2152 -2.3010e+01 4.4179e+00 1.0892e+00 1.7536e+00 216s [2,] -69.0225 -2.1417e+01 2.5382e+00 1.1092e+00 9.3919e-01 216s [3,] -61.6651 -1.8580e+01 -6.1022e-01 -8.1124e-01 -1.6462e-01 216s [4,] -44.5883 -1.8234e+01 -3.9899e-01 -5.2145e-01 2.0050e-01 216s [5,] -12.2941 -2.2954e+01 3.5970e+00 1.1037e+00 -2.4384e-01 216s [6,] 13.0282 -2.8133e+01 8.7670e+00 3.4751e+00 1.3728e+00 216s [7,] -199.0774 -7.7956e+01 5.4935e+01 6.3134e+00 -1.9919e+00 216s [8,] -228.2849 -1.3258e+02 2.2340e+01 2.1656e+01 -1.2594e+01 216s [9,] -228.9164 -1.3560e+02 2.0463e+01 2.2625e+01 -1.2743e+01 216s [10,] -232.4703 -1.0661e+02 3.5597e+01 1.7915e+01 -7.7659e+00 216s [11,] -236.7410 -8.8072e+01 3.6632e+01 1.5095e+01 -7.4695e+00 216s [12,] -249.4091 -3.6830e+01 2.4010e+01 4.7317e+00 -1.2986e+00 216s [13,] -197.0450 4.2633e-14 4.9738e-14 1.1657e-13 -1.1369e-13 216s [14,] 50.9487 1.1397e+01 -1.1247e+01 -4.8733e+00 2.4511e+00 216s [15,] 180.7896 1.7571e+01 -8.0454e+00 -1.0582e+01 1.2714e+00 216s [16,] 135.6178 1.4189e+01 -4.9116e-01 -9.2701e+00 1.4021e-01 216s [17,] 132.5344 1.5577e+01 2.2990e-01 -6.4963e+00 7.3370e-01 216s [18,] 121.3422 1.0471e+01 4.5656e+00 -4.9831e+00 -5.2314e-01 216s [19,] 125.2722 9.0272e+00 3.7365e+00 -3.3313e+00 -2.9097e-01 216s [20,] 135.2370 1.4091e+01 2.0639e+00 -3.6800e+00 1.1733e+00 216s [21,] 116.4250 1.5147e+01 2.9085e+00 -4.8084e+00 1.2603e+00 216s [22,] 108.2925 1.4223e+01 7.7165e-01 -4.5065e+00 2.7943e+00 216s [23,] -22.8258 6.4234e+00 2.4654e+00 -3.9627e+00 7.9847e-01 216s [24,] -78.1850 4.6631e+00 -3.6818e+00 -2.7688e+00 5.8508e-01 216s [25,] -13.0417 2.7521e+00 -3.1955e+00 -4.6824e+00 -3.1085e-01 216s [26,] -19.1244 -9.5045e-01 -2.6771e+00 -4.7104e+00 -1.6172e-01 216s [27,] -34.4379 3.2761e+00 -9.2826e+00 -2.9861e+00 -3.3561e-01 216s [28,] -11.5852 1.4506e+01 -1.5649e+01 -1.6260e+00 -8.5347e-01 216s [29,] -2.9366 2.8741e+01 -2.2907e+01 3.9749e-01 3.5861e-02 216s [30,] -59.7518 2.8633e+01 -1.4710e+01 3.5226e+00 -9.9066e-01 216s [31,] 67.8017 4.7241e+01 -9.1255e+00 1.3201e+01 1.3500e-13 216s [32,] 321.9941 7.6188e+01 2.2491e+01 3.1537e+01 3.2368e+00 216s [33,] 359.5155 6.6710e+01 5.6061e+01 3.4541e+01 2.0718e+00 216s [34,] 355.8007 6.5695e+01 5.7430e+01 3.3578e+01 1.4640e+00 216s [35,] 361.1076 6.7577e+01 5.7402e+01 3.3832e+01 3.2618e+00 216s [36,] 358.3592 6.6791e+01 5.8643e+01 3.2720e+01 1.2487e+00 216s [37,] 355.9974 6.8071e+01 6.0927e+01 3.2560e+01 2.4898e+00 216s [38,] 357.2530 6.9073e+01 6.1517e+01 3.2523e+01 2.7558e+00 216s ------------- 216s Call: 216s PcaProj(x = x) 216s 216s Standard deviations: 216s [1] 193.5806 41.7449 16.7665 8.1585 1.6074 216s ---------------------------------------------------------- 216s ========================================================== 216s > ## IGNORE_RDIFF_END 216s > 216s > ## VT::14.11.2018 - commented out - on some platforms PcaHubert will choose only 1 PC 216s > ## and will show difference 216s > ## test.case.1() 216s > 216s > test.case.2() 216s [1] TRUE 216s [1] TRUE 216s [1] TRUE 216s [1] TRUE 216s [1] TRUE 216s [1] TRUE 216s [1] TRUE 216s [1] TRUE 216s [1] TRUE 216s [1] TRUE 216s > 216s BEGIN TEST tlda.R 216s 216s R version 4.4.3 (2025-02-28) -- "Trophy Case" 216s Copyright (C) 2025 The R Foundation for Statistical Computing 216s Platform: x86_64-pc-linux-gnu 216s 216s R is free software and comes with ABSOLUTELY NO WARRANTY. 216s You are welcome to redistribute it under certain conditions. 216s Type 'license()' or 'licence()' for distribution details. 216s 216s R is a collaborative project with many contributors. 216s Type 'contributors()' for more information and 216s 'citation()' on how to cite R or R packages in publications. 216s 216s Type 'demo()' for some demos, 'help()' for on-line help, or 216s 'help.start()' for an HTML browser interface to help. 216s Type 'q()' to quit R. 216s 216s > ## VT::15.09.2013 - this will render the output independent 216s > ## from the version of the package 216s > suppressPackageStartupMessages(library(rrcov)) 216s > library(MASS) 216s > 216s > ## VT::14.01.2020 216s > ## On some platforms minor differences are shown - use 216s > ## IGNORE_RDIFF_BEGIN 216s > ## IGNORE_RDIFF_END 216s > 216s > dodata <- function(method) { 216s + 216s + options(digits = 5) 216s + set.seed(101) # <<-- sub-sampling algorithm now based on R's RNG and seed 216s + 216s + tmp <- sys.call() 216s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 216s + cat("===================================================\n") 216s + 216s + cat("\nData: ", "hemophilia\n") 216s + data(hemophilia) 216s + show(rlda <- Linda(as.factor(gr)~., data=hemophilia, method=method)) 216s + show(predict(rlda)) 216s + 216s + cat("\nData: ", "anorexia\n") 216s + data(anorexia) 216s + show(rlda <- Linda(Treat~., data=anorexia, method=method)) 216s + show(predict(rlda)) 216s + 216s + cat("\nData: ", "Pima\n") 216s + data(Pima.tr) 216s + show(rlda <- Linda(type~., data=Pima.tr, method=method)) 216s + show(predict(rlda)) 216s + 216s + cat("\nData: ", "Forest soils\n") 216s + data(soil) 216s + soil1983 <- soil[soil$D == 0, -2] # only 1983, remove column D (always 0) 216s + 216s + ## This will not work within the function, of course 216s + ## - comment it out 216s + ## IGNORE_RDIFF_BEGIN 216s + rlda <- Linda(F~., data=soil1983, method=method) 216s + ## show(rlda) 216s + ## IGNORE_RDIFF_END 216s + show(predict(rlda)) 216s + 216s + cat("\nData: ", "Raven and Miller diabetes data\n") 216s + data(diabetes) 216s + show(rlda <- Linda(group~insulin+glucose+sspg, data=diabetes, method=method)) 216s + show(predict(rlda)) 216s + 216s + cat("\nData: ", "iris\n") 216s + data(iris) 216s + if(method != "mcdA") 216s + { 216s + show(rlda <- Linda(Species~., data=iris, method=method, l1med=TRUE)) 216s + show(predict(rlda)) 216s + } 216s + 216s + cat("\nData: ", "crabs\n") 216s + data(crabs) 216s + show(rlda <- Linda(sp~., data=crabs, method=method)) 216s + show(predict(rlda)) 216s + 216s + cat("\nData: ", "fish\n") 216s + data(fish) 216s + fish <- fish[-14,] # remove observation #14 containing missing value 216s + 216s + # The height and width are calculated as percentages 216s + # of the third length variable 216s + fish[,5] <- fish[,5]*fish[,4]/100 216s + fish[,6] <- fish[,6]*fish[,4]/100 216s + 216s + ## There is one class with only 6 observations (p=6). Normally 216s + ## Linda will fail, therefore use l1med=TRUE. 216s + ## This works only for methods mcdB and mcdC 216s + 216s + table(fish$Species) 216s + if(method != "mcdA") 216s + { 216s + ## IGNORE_RDIFF_BEGIN 216s + rlda <- Linda(Species~., data=fish, method=method, l1med=TRUE) 216s + ## show(rlda) 216s + ## IGNORE_RDIFF_END 216s + show(predict(rlda)) 216s + } 216s + 216s + cat("\nData: ", "pottery\n") 216s + data(pottery) 216s + show(rlda <- Linda(origin~., data=pottery, method=method)) 216s + show(predict(rlda)) 216s + 216s + cat("\nData: ", "olitos\n") 216s + data(olitos) 216s + if(method != "mcdA") 216s + { 216s + ## IGNORE_RDIFF_BEGIN 216s + rlda <- Linda(grp~., data=olitos, method=method, l1med=TRUE) 216s + ## show(rlda) 216s + ## IGNORE_RDIFF_END 216s + show(predict(rlda)) 216s + } 216s + 216s + cat("===================================================\n") 216s + } 216s > 216s > 216s > ## -- now do it: 216s > dodata(method="mcdA") 217s 217s Call: dodata(method = "mcdA") 217s =================================================== 217s 217s Data: hemophilia 217s Call: 217s Linda(as.factor(gr) ~ ., data = hemophilia, method = method) 217s 217s Prior Probabilities of Groups: 217s carrier normal 217s 0.6 0.4 217s 217s Group means: 217s AHFactivity AHFantigen 217s carrier -0.30795 -0.0059911 217s normal -0.12920 -0.0603000 217s 217s Within-groups Covariance Matrix: 217s AHFactivity AHFantigen 217s AHFactivity 0.018036 0.011853 217s AHFantigen 0.011853 0.019185 217s 217s Linear Coeficients: 217s AHFactivity AHFantigen 217s carrier -28.4029 17.2368 217s normal -8.5834 2.1602 217s 217s Constants: 217s carrier normal 217s -4.8325 -1.4056 217s 217s Apparent error rate 0.1333 217s 217s Classification table 217s Predicted 217s Actual carrier normal 217s carrier 39 6 217s normal 4 26 217s 217s Confusion matrix 217s Predicted 217s Actual carrier normal 217s carrier 0.867 0.133 217s normal 0.133 0.867 217s 217s Data: anorexia 217s Call: 217s Linda(Treat ~ ., data = anorexia, method = method) 217s 217s Prior Probabilities of Groups: 217s CBT Cont FT 217s 0.40278 0.36111 0.23611 217s 217s Group means: 217s Prewt Postwt 217s CBT 82.633 82.950 217s Cont 81.558 81.108 217s FT 84.331 94.762 217s 217s Within-groups Covariance Matrix: 217s Prewt Postwt 217s Prewt 26.9291 3.3862 217s Postwt 3.3862 18.2368 217s 217s Linear Coeficients: 217s Prewt Postwt 217s CBT 2.5563 4.0738 217s Cont 2.5284 3.9780 217s FT 2.5374 4.7250 217s 217s Constants: 217s CBT Cont FT 217s -275.49 -265.45 -332.31 217s 217s Apparent error rate 0.3889 217s 217s Classification table 217s Predicted 217s Actual CBT Cont FT 217s CBT 16 5 8 217s Cont 11 15 0 217s FT 0 4 13 217s 217s Confusion matrix 217s Predicted 217s Actual CBT Cont FT 217s CBT 0.552 0.172 0.276 217s Cont 0.423 0.577 0.000 217s FT 0.000 0.235 0.765 217s 217s Data: Pima 217s Call: 217s Linda(type ~ ., data = Pima.tr, method = method) 217s 217s Prior Probabilities of Groups: 217s No Yes 217s 0.66 0.34 217s 217s Group means: 217s npreg glu bp skin bmi ped age 217s No 1.8602 107.69 67.344 25.29 30.642 0.40777 24.667 217s Yes 5.3167 145.85 74.283 31.80 34.095 0.49533 37.883 217s 217s Within-groups Covariance Matrix: 217s npreg glu bp skin bmi ped age 217s npreg 8.51105 -5.61029 4.756672 1.52732 0.82066 -0.010070 12.382693 217s glu -5.61029 656.11894 49.855724 16.67486 23.07833 -0.352475 17.724967 217s bp 4.75667 49.85572 119.426757 29.64563 12.90698 -0.049538 21.287178 217s skin 1.52732 16.67486 29.645632 113.19900 44.15972 -0.157594 6.741105 217s bmi 0.82066 23.07833 12.906985 44.15972 35.54164 0.038640 1.481520 217s ped -0.01007 -0.35247 -0.049538 -0.15759 0.03864 0.062664 -0.069636 217s age 12.38269 17.72497 21.287178 6.74110 1.48152 -0.069636 64.887154 217s 217s Linear Coeficients: 217s npreg glu bp skin bmi ped age 217s No -0.45855 0.092789 0.45848 -0.30675 1.0075 6.2670 0.30749 217s Yes -0.22400 0.150013 0.44787 -0.26148 1.0015 8.2935 0.45187 217s 217s Constants: 217s No Yes 217s -37.050 -51.586 217s 217s Apparent error rate 0.22 217s 217s Classification table 217s Predicted 217s Actual No Yes 217s No 107 25 217s Yes 19 49 217s 217s Confusion matrix 217s Predicted 217s Actual No Yes 217s No 0.811 0.189 217s Yes 0.279 0.721 217s 217s Data: Forest soils 217s 217s Apparent error rate 0.3103 217s 217s Classification table 217s Predicted 217s Actual 1 2 3 217s 1 7 2 2 217s 2 3 13 7 217s 3 1 3 20 217s 217s Confusion matrix 217s Predicted 217s Actual 1 2 3 217s 1 0.636 0.182 0.182 217s 2 0.130 0.565 0.304 217s 3 0.042 0.125 0.833 217s 217s Data: Raven and Miller diabetes data 217s Call: 217s Linda(group ~ insulin + glucose + sspg, data = diabetes, method = method) 217s 217s Prior Probabilities of Groups: 217s normal chemical overt 217s 0.52414 0.24828 0.22759 217s 217s Group means: 217s insulin glucose sspg 217s normal 163.939 345.8 99.076 217s chemical 299.448 476.9 223.621 217s overt 95.958 1026.4 343.000 217s 217s Within-groups Covariance Matrix: 217s insulin glucose sspg 217s insulin 7582.0 -1263.1 1095.8 217s glucose -1263.1 18952.4 4919.3 217s sspg 1095.8 4919.3 3351.2 217s 217s Linear Coeficients: 217s insulin glucose sspg 217s normal 0.027694 0.023859 -0.014514 217s chemical 0.040288 0.022532 0.020479 217s overt 0.017144 0.048768 0.025158 217s 217s Constants: 217s normal chemical overt 217s -6.3223 -15.0879 -31.6445 217s 217s Apparent error rate 0.1862 217s 217s Classification table 217s Predicted 217s Actual normal chemical overt 217s normal 69 7 0 217s chemical 13 23 0 217s overt 2 5 26 217s 217s Confusion matrix 217s Predicted 217s Actual normal chemical overt 217s normal 0.908 0.092 0.000 217s chemical 0.361 0.639 0.000 217s overt 0.061 0.152 0.788 217s 217s Data: iris 217s 217s Data: crabs 217s Call: 217s Linda(sp ~ ., data = crabs, method = method) 217s 217s Prior Probabilities of Groups: 217s B O 217s 0.5 0.5 217s 217s Group means: 217s sexM index FL RW CL CW BD 217s B 0.34722 27.333 14.211 12.253 30.397 35.117 12.765 217s O 0.56627 25.554 17.131 13.405 34.247 38.155 15.525 217s 217s Within-groups Covariance Matrix: 217s sexM index FL RW CL CW BD 217s sexM 0.26391 0.76754 0.18606 -0.33763 0.65944 0.59857 0.28932 217s index 0.76754 191.38080 38.42685 26.32923 82.43953 91.89091 38.13688 217s FL 0.18606 38.42685 8.50147 5.68789 18.13749 20.30739 8.30920 217s RW -0.33763 26.32923 5.68789 4.95782 11.90225 13.61117 5.45814 217s CL 0.65944 82.43953 18.13749 11.90225 39.60115 44.10886 18.09504 217s CW 0.59857 91.89091 20.30739 13.61117 44.10886 49.42616 20.17554 217s BD 0.28932 38.13688 8.30920 5.45814 18.09504 20.17554 8.39525 217s 217s Linear Coeficients: 217s sexM index FL RW CL CW BD 217s B 29.104 -2.4938 10.809 15.613 0.8320 -4.2978 -0.46788 217s O 42.470 -3.9361 26.427 22.857 2.8582 -17.1526 12.31048 217s 217s Constants: 217s B O 217s -78.317 -159.259 217s 217s Apparent error rate 0 217s 217s Classification table 217s Predicted 217s Actual B O 217s B 100 0 217s O 0 100 217s 217s Confusion matrix 217s Predicted 217s Actual B O 217s B 1 0 217s O 0 1 217s 217s Data: fish 217s 217s Data: pottery 217s Call: 217s Linda(origin ~ ., data = pottery, method = method) 217s 217s Prior Probabilities of Groups: 217s Attic Eritrean 217s 0.48148 0.51852 217s 217s Group means: 217s SI AL FE MG CA TI 217s Attic 55.36 13.73 9.82 5.45 6.03 0.863 217s Eritrean 52.52 16.23 9.13 3.09 6.26 0.814 217s 217s Within-groups Covariance Matrix: 217s SI AL FE MG CA TI 217s SI 13.5941404 2.986675 -0.651132 0.173577 -0.350984 -0.0051996 217s AL 2.9866747 1.622412 0.485167 0.712400 0.077443 0.0133306 217s FE -0.6511317 0.485167 1.065427 -0.403601 -1.936552 0.0576472 217s MG 0.1735766 0.712400 -0.403601 2.814948 3.262786 -0.0427129 217s CA -0.3509837 0.077443 -1.936552 3.262786 7.720320 -0.1454065 217s TI -0.0051996 0.013331 0.057647 -0.042713 -0.145406 0.0044093 217s 217s Linear Coeficients: 217s SI AL FE MG CA TI 217s Attic 63.235 -196.99 312.92 7.28960 57.082 -1272.23 217s Eritrean 41.554 -123.49 201.47 -0.95431 43.616 -597.91 217s 217s Constants: 217s Attic Eritrean 217s -1578.14 -901.13 217s 217s Apparent error rate 0.1111 217s 217s Classification table 217s Predicted 217s Actual Attic Eritrean 217s Attic 12 1 217s Eritrean 2 12 217s 217s Confusion matrix 217s Predicted 217s Actual Attic Eritrean 217s Attic 0.923 0.077 217s Eritrean 0.143 0.857 217s 217s Data: olitos 217s =================================================== 217s > dodata(method="mcdB") 217s 217s Call: dodata(method = "mcdB") 217s =================================================== 217s 217s Data: hemophilia 217s Call: 217s Linda(as.factor(gr) ~ ., data = hemophilia, method = method) 217s 217s Prior Probabilities of Groups: 217s carrier normal 217s 0.6 0.4 217s 217s Group means: 217s AHFactivity AHFantigen 217s carrier -0.31456 -0.014775 217s normal -0.13582 -0.069084 217s 217s Within-groups Covariance Matrix: 217s AHFactivity AHFantigen 217s AHFactivity 0.0125319 0.0086509 217s AHFantigen 0.0086509 0.0182424 217s 217s Linear Coeficients: 217s AHFactivity AHFantigen 217s carrier -36.486 16.4923 217s normal -12.226 2.0107 217s 217s Constants: 217s carrier normal 217s -6.1276 -1.6771 217s 217s Apparent error rate 0.16 217s 217s Classification table 217s Predicted 217s Actual carrier normal 217s carrier 38 7 217s normal 5 25 217s 217s Confusion matrix 217s Predicted 217s Actual carrier normal 217s carrier 0.844 0.156 217s normal 0.167 0.833 217s 217s Data: anorexia 217s Call: 217s Linda(Treat ~ ., data = anorexia, method = method) 217s 217s Prior Probabilities of Groups: 217s CBT Cont FT 217s 0.40278 0.36111 0.23611 217s 217s Group means: 217s Prewt Postwt 217s CBT 83.254 82.381 217s Cont 82.178 80.539 217s FT 84.951 94.193 217s 217s Within-groups Covariance Matrix: 217s Prewt Postwt 217s Prewt 19.1751 8.8546 217s Postwt 8.8546 25.2326 217s 217s Linear Coeficients: 217s Prewt Postwt 217s CBT 3.3822 2.0780 217s Cont 3.3555 2.0144 217s FT 3.2299 2.5996 217s 217s Constants: 217s CBT Cont FT 217s -227.29 -220.01 -261.06 217s 217s Apparent error rate 0.4444 217s 217s Classification table 217s Predicted 217s Actual CBT Cont FT 217s CBT 16 5 8 217s Cont 12 11 3 217s FT 0 4 13 217s 217s Confusion matrix 217s Predicted 217s Actual CBT Cont FT 217s CBT 0.552 0.172 0.276 217s Cont 0.462 0.423 0.115 217s FT 0.000 0.235 0.765 217s 217s Data: Pima 217s Call: 217s Linda(type ~ ., data = Pima.tr, method = method) 217s 217s Prior Probabilities of Groups: 217s No Yes 217s 0.66 0.34 217s 217s Group means: 217s npreg glu bp skin bmi ped age 217s No 2.0767 109.45 67.790 26.158 30.930 0.41455 24.695 217s Yes 5.5938 145.40 74.748 33.754 34.501 0.49898 37.821 217s 217s Within-groups Covariance Matrix: 217s npreg glu bp skin bmi ped age 217s npreg 6.601330 9.54054 7.33480 3.5803 1.66539 -0.019992 10.661763 217s glu 9.540535 573.03642 60.57124 28.3698 30.28444 -0.436611 28.318034 217s bp 7.334803 60.57124 112.03792 27.7566 13.54085 -0.040510 24.692240 217s skin 3.580339 28.36976 27.75661 112.0036 47.22411 0.100399 13.408195 217s bmi 1.665393 30.28444 13.54085 47.2241 38.37753 0.175891 6.640765 217s ped -0.019992 -0.43661 -0.04051 0.1004 0.17589 0.062551 -0.070673 217s age 10.661763 28.31803 24.69224 13.4082 6.64077 -0.070673 40.492363 217s 217s Linear Coeficients: 217s npreg glu bp skin bmi ped age 217s No -1.3073 0.10851 0.48404 -0.30638 0.86002 5.9796 0.55388 217s Yes -1.3136 0.16260 0.44480 -0.25518 0.79826 8.1199 0.86269 217s 217s Constants: 217s No Yes 217s -38.774 -53.654 217s 217s Apparent error rate 0.25 217s 217s Classification table 217s Predicted 217s Actual No Yes 217s No 104 28 217s Yes 22 46 217s 217s Confusion matrix 217s Predicted 217s Actual No Yes 217s No 0.788 0.212 217s Yes 0.324 0.676 217s 217s Data: Forest soils 217s 217s Apparent error rate 0.3448 217s 217s Classification table 217s Predicted 217s Actual 1 2 3 217s 1 4 3 4 217s 2 2 14 7 217s 3 2 2 20 217s 217s Confusion matrix 217s Predicted 217s Actual 1 2 3 217s 1 0.364 0.273 0.364 217s 2 0.087 0.609 0.304 217s 3 0.083 0.083 0.833 217s 217s Data: Raven and Miller diabetes data 217s Call: 217s Linda(group ~ insulin + glucose + sspg, data = diabetes, method = method) 217s 217s Prior Probabilities of Groups: 217s normal chemical overt 217s 0.52414 0.24828 0.22759 217s 217s Group means: 217s insulin glucose sspg 217s normal 152.405 346.55 99.387 217s chemical 288.244 478.80 226.226 217s overt 84.754 1028.28 345.605 217s 217s Within-groups Covariance Matrix: 217s insulin glucose sspg 217s insulin 5061.46 289.69 2071.71 217s glucose 289.69 1983.07 385.31 217s sspg 2071.71 385.31 3000.17 217s 217s Linear Coeficients: 217s insulin glucose sspg 217s normal 0.021952 0.17236 -0.0041671 217s chemical 0.034852 0.23217 0.0215200 217s overt -0.045700 0.50940 0.0813292 217s 217s Constants: 217s normal chemical overt 217s -31.976 -64.433 -275.502 217s 217s Apparent error rate 0.0966 217s 217s Classification table 217s Predicted 217s Actual normal chemical overt 217s normal 73 3 0 217s chemical 4 32 0 217s overt 0 7 26 217s 217s Confusion matrix 217s Predicted 217s Actual normal chemical overt 217s normal 0.961 0.039 0.000 217s chemical 0.111 0.889 0.000 217s overt 0.000 0.212 0.788 217s 217s Data: iris 217s Call: 217s Linda(Species ~ ., data = iris, method = method, l1med = TRUE) 217s 217s Prior Probabilities of Groups: 217s setosa versicolor virginica 217s 0.33333 0.33333 0.33333 217s 217s Group means: 217s Sepal.Length Sepal.Width Petal.Length Petal.Width 217s setosa 4.9834 3.4153 1.4532 0.22474 217s versicolor 5.8947 2.8149 4.2263 1.35024 217s virginica 6.5255 3.0017 5.4485 2.06756 217s 217s Within-groups Covariance Matrix: 217s Sepal.Length Sepal.Width Petal.Length Petal.Width 217s Sepal.Length 0.201176 0.084299 0.102984 0.037019 217s Sepal.Width 0.084299 0.108394 0.050253 0.031757 217s Petal.Length 0.102984 0.050253 0.120215 0.045016 217s Petal.Width 0.037019 0.031757 0.045016 0.032825 217s 217s Linear Coeficients: 217s Sepal.Length Sepal.Width Petal.Length Petal.Width 217s setosa 22.536 27.422168 -3.6855 -40.0445 217s versicolor 17.559 6.374082 24.1965 -18.0178 217s virginica 16.488 0.015576 29.9586 3.2926 217s 217s Constants: 217s setosa versicolor virginica 217s -96.901 -100.790 -139.937 217s 217s Apparent error rate 0.0267 217s 217s Classification table 217s Predicted 217s Actual setosa versicolor virginica 217s setosa 50 0 0 217s versicolor 0 48 2 217s virginica 0 2 48 217s 217s Confusion matrix 217s Predicted 217s Actual setosa versicolor virginica 217s setosa 1 0.00 0.00 217s versicolor 0 0.96 0.04 217s virginica 0 0.04 0.96 217s 217s Data: crabs 217s Call: 217s Linda(sp ~ ., data = crabs, method = method) 217s 217s Prior Probabilities of Groups: 217s B O 217s 0.5 0.5 217s 217s Group means: 217s sexM index FL RW CL CW BD 217s B 0.41060 25.420 13.947 11.922 29.783 34.404 12.470 217s O 0.60279 23.202 16.782 13.086 33.401 37.230 15.131 217s 217s Within-groups Covariance Matrix: 217s sexM index FL RW CL CW BD 217s sexM 0.27470 0.24656 0.12787 -0.34713 0.48937 0.41525 0.20253 217s index 0.24656 204.06823 42.17347 28.25816 89.28109 100.21077 40.74069 217s FL 0.12787 42.17347 9.45366 6.24808 19.97936 22.49310 9.03804 217s RW -0.34713 28.25816 6.24808 5.12921 13.01576 14.90535 5.89729 217s CL 0.48937 89.28109 19.97936 13.01576 43.06030 48.30814 19.44568 217s CW 0.41525 100.21077 22.49310 14.90535 48.30814 54.45265 21.82356 217s BD 0.20253 40.74069 9.03804 5.89729 19.44568 21.82356 8.89498 217s 217s Linear Coeficients: 217s sexM index FL RW CL CW BD 217s B 12.295 -2.3199 7.2512 9.4085 2.2846 -2.6196 -0.42557 217s O 13.138 -3.7530 21.1374 11.5680 5.0125 -13.9120 12.61928 217s 217s Constants: 217s B O 217s -66.688 -134.375 217s 217s Apparent error rate 0 217s 217s Classification table 217s Predicted 217s Actual B O 217s B 100 0 217s O 0 100 217s 217s Confusion matrix 217s Predicted 217s Actual B O 217s B 1 0 217s O 0 1 217s 217s Data: fish 217s 217s Apparent error rate 0.0949 217s 217s Classification table 217s Predicted 217s Actual 1 2 3 4 5 6 7 217s 1 34 0 0 0 0 0 0 217s 2 0 6 0 0 0 0 0 217s 3 0 0 20 0 0 0 0 217s 4 0 0 0 11 0 0 0 217s 5 0 0 0 0 13 0 1 217s 6 0 0 0 0 0 17 0 217s 7 0 13 0 0 1 0 42 217s 217s Confusion matrix 217s Predicted 217s Actual 1 2 3 4 5 6 7 217s 1 1 0.000 0 0 0.000 0 0.000 217s 2 0 1.000 0 0 0.000 0 0.000 217s 3 0 0.000 1 0 0.000 0 0.000 217s 4 0 0.000 0 1 0.000 0 0.000 217s 5 0 0.000 0 0 0.929 0 0.071 217s 6 0 0.000 0 0 0.000 1 0.000 217s 7 0 0.232 0 0 0.018 0 0.750 217s 217s Data: pottery 217s Call: 217s Linda(origin ~ ., data = pottery, method = method) 217s 217s Prior Probabilities of Groups: 217s Attic Eritrean 217s 0.48148 0.51852 217s 217s Group means: 217s SI AL FE MG CA TI 217s Attic 55.362 13.847 10.0065 5.3141 5.5371 0.87124 217s Eritrean 52.522 16.347 9.3165 2.9541 5.7671 0.82224 217s 217s Within-groups Covariance Matrix: 217s SI AL FE MG CA TI 217s SI 9.708953 2.3634831 -0.112005 0.514666 -0.591122 0.0253885 217s AL 2.363483 0.8510105 0.044491 0.485132 0.241384 0.0023349 217s FE -0.112005 0.0444910 0.247768 -0.263894 -0.503218 0.0163218 217s MG 0.514666 0.4851316 -0.263894 1.608899 1.516228 -0.0292787 217s CA -0.591122 0.2413842 -0.503218 1.516228 2.455516 -0.0531548 217s TI 0.025389 0.0023349 0.016322 -0.029279 -0.053155 0.0017412 217s 217s Linear Coeficients: 217s SI AL FE MG CA TI 217s Attic 112.705 -368.69 530.54 7.5837 149.60 -927.45 217s Eritrean 77.198 -244.65 366.95 -3.7987 116.88 -260.83 217s 217s Constants: 217s Attic Eritrean 217s -3252.6 -1961.9 217s 217s Apparent error rate 0.1111 217s 217s Classification table 217s Predicted 217s Actual Attic Eritrean 217s Attic 12 1 217s Eritrean 2 12 217s 217s Confusion matrix 217s Predicted 217s Actual Attic Eritrean 217s Attic 0.923 0.077 217s Eritrean 0.143 0.857 217s 217s Data: olitos 217s 217s Apparent error rate 0.15 217s 217s Classification table 217s Predicted 217s Actual 1 2 3 4 217s 1 44 1 4 1 217s 2 2 23 0 0 217s 3 6 1 26 1 217s 4 1 1 0 9 217s 217s Confusion matrix 217s Predicted 217s Actual 1 2 3 4 217s 1 0.880 0.020 0.080 0.020 217s 2 0.080 0.920 0.000 0.000 217s 3 0.176 0.029 0.765 0.029 217s 4 0.091 0.091 0.000 0.818 217s =================================================== 217s > dodata(method="mcdC") 217s 217s Call: dodata(method = "mcdC") 217s =================================================== 217s 217s Data: hemophilia 217s Call: 217s Linda(as.factor(gr) ~ ., data = hemophilia, method = method) 217s 217s Prior Probabilities of Groups: 217s carrier normal 217s 0.6 0.4 217s 217s Group means: 217s AHFactivity AHFantigen 217s carrier -0.32583 -0.011545 217s normal -0.12783 -0.071377 217s 217s Within-groups Covariance Matrix: 217s AHFactivity AHFantigen 217s AHFactivity 0.0120964 0.0075536 217s AHFantigen 0.0075536 0.0164883 217s 217s Linear Coeficients: 217s AHFactivity AHFantigen 217s carrier -37.117 16.30377 217s normal -11.015 0.71742 217s 217s Constants: 217s carrier normal 217s -6.4636 -1.5947 217s 217s Apparent error rate 0.16 217s 217s Classification table 217s Predicted 217s Actual carrier normal 217s carrier 38 7 217s normal 5 25 217s 217s Confusion matrix 217s Predicted 217s Actual carrier normal 217s carrier 0.844 0.156 217s normal 0.167 0.833 217s 217s Data: anorexia 217s Call: 217s Linda(Treat ~ ., data = anorexia, method = method) 217s 217s Prior Probabilities of Groups: 217s CBT Cont FT 217s 0.40278 0.36111 0.23611 217s 217s Group means: 217s Prewt Postwt 217s CBT 82.477 82.073 217s Cont 82.039 80.835 217s FT 85.242 94.750 217s 217s Within-groups Covariance Matrix: 217s Prewt Postwt 217s Prewt 19.6589 8.3891 217s Postwt 8.3891 22.8805 217s 217s Linear Coeficients: 217s Prewt Postwt 217s CBT 3.1590 2.4288 217s Cont 3.1599 2.3743 217s FT 3.0454 3.0245 217s 217s Constants: 217s CBT Cont FT 217s -230.85 -226.60 -274.53 217s 217s Apparent error rate 0.4583 217s 217s Classification table 217s Predicted 217s Actual CBT Cont FT 217s CBT 16 5 8 217s Cont 14 10 2 217s FT 0 4 13 217s 217s Confusion matrix 217s Predicted 217s Actual CBT Cont FT 217s CBT 0.552 0.172 0.276 217s Cont 0.538 0.385 0.077 217s FT 0.000 0.235 0.765 217s 217s Data: Pima 217s Call: 217s Linda(type ~ ., data = Pima.tr, method = method) 217s 217s Prior Probabilities of Groups: 217s No Yes 217s 0.66 0.34 217s 217s Group means: 217s npreg glu bp skin bmi ped age 217s No 2.3056 110.63 67.991 26.444 31.010 0.41653 25.806 217s Yes 5.0444 142.58 74.267 33.067 34.309 0.49422 35.156 217s 217s Within-groups Covariance Matrix: 217s npreg glu bp skin bmi ped age 217s npreg 6.164422 8.43753 6.879286 3.252980 1.54269 -0.020158 9.543745 217s glu 8.437528 542.79578 57.156929 26.218837 28.63494 -0.421819 23.809124 217s bp 6.879286 57.15693 106.687356 26.315526 12.86691 -0.039577 22.992973 217s skin 3.252980 26.21884 26.315526 106.552759 44.95420 0.094311 12.005740 217s bmi 1.542689 28.63494 12.866911 44.954202 36.56262 0.167258 6.112925 217s ped -0.020158 -0.42182 -0.039577 0.094311 0.16726 0.059609 -0.072712 217s age 9.543745 23.80912 22.992973 12.005740 6.11292 -0.072712 35.594886 217s 217s Linear Coeficients: 217s npreg glu bp skin bmi ped age 217s No -1.4165 0.11776 0.49336 -0.31564 0.88761 6.5013 0.67462 217s Yes -1.3784 0.17062 0.46662 -0.26771 0.83745 8.5204 0.90557 217s 217s Constants: 217s No Yes 217s -41.716 -55.056 217s 217s Apparent error rate 0.235 217s 217s Classification table 217s Predicted 217s Actual No Yes 217s No 107 25 217s Yes 22 46 217s 217s Confusion matrix 217s Predicted 217s Actual No Yes 217s No 0.811 0.189 217s Yes 0.324 0.676 217s 217s Data: Forest soils 217s 217s Apparent error rate 0.3276 217s 217s Classification table 217s Predicted 217s Actual 1 2 3 217s 1 5 2 4 217s 2 2 13 8 217s 3 1 2 21 217s 217s Confusion matrix 217s Predicted 217s Actual 1 2 3 217s 1 0.455 0.182 0.364 217s 2 0.087 0.565 0.348 217s 3 0.042 0.083 0.875 217s 217s Data: Raven and Miller diabetes data 217s Call: 217s Linda(group ~ insulin + glucose + sspg, data = diabetes, method = method) 217s 217s Prior Probabilities of Groups: 217s normal chemical overt 217s 0.52414 0.24828 0.22759 217s 217s Group means: 217s insulin glucose sspg 217s normal 167.31 348.69 106.44 217s chemical 247.18 478.18 213.36 217s overt 101.83 932.92 322.42 217s 217s Within-groups Covariance Matrix: 217s insulin glucose sspg 217s insulin 4070.84 118.89 1701.54 217s glucose 118.89 2195.95 426.95 217s sspg 1701.54 426.95 2664.49 217s 217s Linear Coeficients: 217s insulin glucose sspg 217s normal 0.041471 0.15888 -0.011992 217s chemical 0.048103 0.21216 0.015359 217s overt -0.013579 0.41323 0.063462 217s 217s Constants: 217s normal chemical overt 217s -31.177 -59.703 -203.775 217s 217s Apparent error rate 0.0828 217s 217s Classification table 217s Predicted 217s Actual normal chemical overt 217s normal 72 4 0 217s chemical 2 34 0 217s overt 0 6 27 217s 217s Confusion matrix 217s Predicted 217s Actual normal chemical overt 217s normal 0.947 0.053 0.000 217s chemical 0.056 0.944 0.000 217s overt 0.000 0.182 0.818 217s 217s Data: iris 217s Call: 217s Linda(Species ~ ., data = iris, method = method, l1med = TRUE) 217s 217s Prior Probabilities of Groups: 217s setosa versicolor virginica 217s 0.33333 0.33333 0.33333 217s 217s Group means: 217s Sepal.Length Sepal.Width Petal.Length Petal.Width 217s setosa 5.0163 3.4510 1.4653 0.2449 217s versicolor 5.9435 2.7891 4.2543 1.3239 217s virginica 6.3867 3.0033 5.3767 2.0700 217s 217s Within-groups Covariance Matrix: 217s Sepal.Length Sepal.Width Petal.Length Petal.Width 217s Sepal.Length 0.186186 0.082478 0.094998 0.035445 217s Sepal.Width 0.082478 0.100137 0.049723 0.030678 217s Petal.Length 0.094998 0.049723 0.113105 0.043078 217s Petal.Width 0.035445 0.030678 0.043078 0.030885 217s 217s Linear Coeficients: 217s Sepal.Length Sepal.Width Petal.Length Petal.Width 217s setosa 23.678 30.2896 -3.1124 -44.9900 217s versicolor 20.342 4.6372 27.3265 -23.2006 217s virginica 18.377 -2.0004 31.4235 4.0906 217s 217s Constants: 217s setosa versicolor virginica 217s -104.96 -110.79 -145.49 217s 217s Apparent error rate 0.0333 217s 217s Classification table 217s Predicted 217s Actual setosa versicolor virginica 217s setosa 50 0 0 217s versicolor 0 48 2 217s virginica 0 3 47 217s 217s Confusion matrix 217s Predicted 217s Actual setosa versicolor virginica 217s setosa 1 0.00 0.00 217s versicolor 0 0.96 0.04 217s virginica 0 0.06 0.94 217s 217s Data: crabs 217s Call: 217s Linda(sp ~ ., data = crabs, method = method) 217s 217s Prior Probabilities of Groups: 217s B O 217s 0.5 0.5 217s 217s Group means: 217s sexM index FL RW CL CW BD 217s B 0.50000 23.956 13.790 11.649 29.390 33.934 12.274 217s O 0.51087 24.478 16.903 13.330 33.707 37.595 15.276 217s 217s Within-groups Covariance Matrix: 217s sexM index FL RW CL CW BD 217s sexM 0.25272 0.39179 0.14054 -0.30017 0.51191 0.45114 0.21708 217s index 0.39179 192.47099 39.97343 26.56698 84.63152 94.99987 38.67917 217s FL 0.14054 39.97343 8.97950 5.91408 18.98672 21.38046 8.60313 217s RW -0.30017 26.56698 5.91408 4.81389 12.31798 14.10613 5.58933 217s CL 0.51191 84.63152 18.98672 12.31798 40.94109 45.94330 18.52367 217s CW 0.45114 94.99987 21.38046 14.10613 45.94330 51.80106 20.79704 217s BD 0.21708 38.67917 8.60313 5.58933 18.52367 20.79704 8.49355 217s 217s Linear Coeficients: 217s sexM index FL RW CL CW BD 217s B 13.993 -2.5515 9.152 9.9187 2.2321 -2.9774 -0.66797 217s O 14.362 -4.0280 23.369 12.1556 5.3672 -14.9236 12.94057 217s 217s Constants: 217s B O 217s -72.687 -142.365 217s 217s Apparent error rate 0 217s 217s Classification table 217s Predicted 217s Actual B O 217s B 100 0 217s O 0 100 217s 217s Confusion matrix 217s Predicted 217s Actual B O 217s B 1 0 217s O 0 1 217s 217s Data: fish 217s 217s Apparent error rate 0.0316 217s 217s Classification table 217s Predicted 217s Actual 1 2 3 4 5 6 7 217s 1 34 0 0 0 0 0 0 217s 2 0 5 0 0 1 0 0 217s 3 0 0 20 0 0 0 0 217s 4 0 0 0 11 0 0 0 217s 5 0 0 0 0 13 0 1 217s 6 0 0 0 0 0 17 0 217s 7 0 0 0 0 3 0 53 217s 217s Confusion matrix 217s Predicted 217s Actual 1 2 3 4 5 6 7 217s 1 1 0.000 0 0 0.000 0 0.000 217s 2 0 0.833 0 0 0.167 0 0.000 217s 3 0 0.000 1 0 0.000 0 0.000 217s 4 0 0.000 0 1 0.000 0 0.000 217s 5 0 0.000 0 0 0.929 0 0.071 217s 6 0 0.000 0 0 0.000 1 0.000 217s 7 0 0.000 0 0 0.054 0 0.946 217s 217s Data: pottery 218s Call: 218s Linda(origin ~ ., data = pottery, method = method) 218s 218s Prior Probabilities of Groups: 218s Attic Eritrean 218s 0.48148 0.51852 218s 218s Group means: 218s SI AL FE MG CA TI 218s Attic 55.450 13.738 10.0000 5.0750 5.0750 0.87375 218s Eritrean 52.444 16.444 9.3222 3.1667 6.1778 0.82000 218s 218s Within-groups Covariance Matrix: 218s SI AL FE MG CA TI 218s SI 6.565481 1.6098148 -0.075259 0.369556 -0.359407 0.0169667 218s AL 1.609815 0.5640648 0.029407 0.302056 0.112426 0.0018583 218s FE -0.075259 0.0294074 0.167704 -0.180222 -0.343704 0.0110667 218s MG 0.369556 0.3020556 -0.180222 1.031667 0.915222 -0.0192167 218s CA -0.359407 0.1124259 -0.343704 0.915222 1.447370 -0.0348167 218s TI 0.016967 0.0018583 0.011067 -0.019217 -0.034817 0.0011725 218s 218s Linear Coeficients: 218s SI AL FE MG CA TI 218s Attic 190.17 -622.48 922.21 1.5045 293.30 -990.323 218s Eritrean 135.34 -431.40 666.59 -14.3288 237.68 -44.025 218s 218s Constants: 218s Attic Eritrean 218s -5924.2 -3802.9 218s 218s Apparent error rate 0.1111 218s 218s Classification table 218s Predicted 218s Actual Attic Eritrean 218s Attic 12 1 218s Eritrean 2 12 218s 218s Confusion matrix 218s Predicted 218s Actual Attic Eritrean 218s Attic 0.923 0.077 218s Eritrean 0.143 0.857 218s 218s Data: olitos 218s 218s Apparent error rate 0.1667 218s 218s Classification table 218s Predicted 218s Actual 1 2 3 4 218s 1 44 1 2 3 218s 2 2 22 0 1 218s 3 5 2 25 2 218s 4 1 1 0 9 218s 218s Confusion matrix 218s Predicted 218s Actual 1 2 3 4 218s 1 0.880 0.020 0.040 0.060 218s 2 0.080 0.880 0.000 0.040 218s 3 0.147 0.059 0.735 0.059 218s 4 0.091 0.091 0.000 0.818 218s =================================================== 218s > dodata(method="mrcd") 218s 218s Call: dodata(method = "mrcd") 218s =================================================== 218s 218s Data: hemophilia 218s Call: 218s Linda(as.factor(gr) ~ ., data = hemophilia, method = method) 218s 218s Prior Probabilities of Groups: 218s carrier normal 218s 0.6 0.4 218s 218s Group means: 218s AHFactivity AHFantigen 218s carrier -0.34048 -0.055943 218s normal -0.13566 -0.081191 218s 218s Within-groups Covariance Matrix: 218s AHFactivity AHFantigen 218s AHFactivity 0.0133676 0.0088055 218s AHFantigen 0.0088055 0.0221225 218s 218s Linear Coeficients: 218s AHFactivity AHFantigen 218s carrier -32.264 10.31334 218s normal -10.478 0.50044 218s 218s Constants: 218s carrier normal 218s -5.7149 -1.6067 218s 218s Apparent error rate 0.16 218s 218s Classification table 218s Predicted 218s Actual carrier normal 218s carrier 38 7 218s normal 5 25 218s 218s Confusion matrix 218s Predicted 218s Actual carrier normal 218s carrier 0.844 0.156 218s normal 0.167 0.833 218s 218s Data: anorexia 218s Call: 218s Linda(Treat ~ ., data = anorexia, method = method) 218s 218s Prior Probabilities of Groups: 218s CBT Cont FT 218s 0.40278 0.36111 0.23611 218s 218s Group means: 218s Prewt Postwt 218s CBT 83.114 84.009 218s Cont 80.327 80.125 218s FT 85.161 94.371 218s 218s Within-groups Covariance Matrix: 218s Prewt Postwt 218s Prewt 22.498 11.860 218s Postwt 11.860 20.426 218s 218s Linear Coeficients: 218s Prewt Postwt 218s CBT 2.1994 2.8357 218s Cont 2.1653 2.6654 218s FT 1.9451 3.4907 218s 218s Constants: 218s CBT Cont FT 218s -211.42 -194.77 -248.97 218s 218s Apparent error rate 0.3889 218s 218s Classification table 218s Predicted 218s Actual CBT Cont FT 218s CBT 15 6 8 218s Cont 6 16 4 218s FT 0 4 13 218s 218s Confusion matrix 218s Predicted 218s Actual CBT Cont FT 218s CBT 0.517 0.207 0.276 218s Cont 0.231 0.615 0.154 218s FT 0.000 0.235 0.765 218s 218s Data: Pima 218s Call: 218s Linda(type ~ ., data = Pima.tr, method = method) 218s 218s Prior Probabilities of Groups: 218s No Yes 218s 0.66 0.34 218s 218s Group means: 218s npreg glu bp skin bmi ped age 218s No 1.9925 108.32 66.240 24.856 30.310 0.37382 24.747 218s Yes 5.8855 145.88 75.715 32.541 33.915 0.39281 38.857 218s 218s Within-groups Covariance Matrix: 218s npreg glu bp skin bmi ped age 218s npreg 4.090330 7.9547 3.818380 3.35899 2.470242 0.032557 9.5929 218s glu 7.954730 770.4187 76.377665 53.32216 54.100400 -1.139087 28.5677 218s bp 3.818380 76.3777 108.201622 42.61184 18.574983 -0.089151 20.3558 218s skin 3.358992 53.3222 42.611844 146.81170 65.210794 -0.277335 15.0162 218s bmi 2.470242 54.1004 18.574983 65.21079 52.871847 0.062145 9.0741 218s ped 0.032557 -1.1391 -0.089151 -0.27733 0.062145 0.063490 0.1762 218s age 9.592948 28.5677 20.355803 15.01616 9.074109 0.176201 53.5163 218s 218s Linear Coeficients: 218s npreg glu bp skin bmi ped age 218s No -1.30832 0.065773 0.54772 -0.32738 0.70207 5.2556 0.40900 218s Yes -0.76566 0.106435 0.55777 -0.28044 0.61709 5.9199 0.54892 218s 218s Constants: 218s No Yes 218s -33.429 -45.434 218s 218s Apparent error rate 0.28 218s 218s Classification table 218s Predicted 218s Actual No Yes 218s No 105 27 218s Yes 29 39 218s 218s Confusion matrix 218s Predicted 218s Actual No Yes 218s No 0.795 0.205 218s Yes 0.426 0.574 218s 218s Data: Forest soils 218s 218s Apparent error rate 0.3448 218s 218s Classification table 218s Predicted 218s Actual 1 2 3 218s 1 7 2 2 218s 2 4 14 5 218s 3 3 4 17 218s 218s Confusion matrix 218s Predicted 218s Actual 1 2 3 218s 1 0.636 0.182 0.182 218s 2 0.174 0.609 0.217 218s 3 0.125 0.167 0.708 218s 218s Data: Raven and Miller diabetes data 218s Call: 218s Linda(group ~ insulin + glucose + sspg, data = diabetes, method = method) 218s 218s Prior Probabilities of Groups: 218s normal chemical overt 218s 0.52414 0.24828 0.22759 218s 218s Group means: 218s insulin glucose sspg 218s normal 154.014 346.07 91.606 218s chemical 248.841 451.10 221.936 218s overt 89.766 1064.16 335.100 218s 218s Within-groups Covariance Matrix: 218s insulin glucose sspg 218s insulin 4948.1 1007.61 1471.12 218s glucose 1007.6 2597.38 358.57 218s sspg 1471.1 358.57 3180.04 218s 218s Linear Coeficients: 218s insulin glucose sspg 218s normal 0.00027839 0.13121 0.013882 218s chemical 0.00148074 0.16615 0.050371 218s overt -0.10102404 0.43466 0.103100 218s 218s Constants: 218s normal chemical overt 218s -24.008 -44.642 -245.497 218s 218s Apparent error rate 0.0966 218s 218s Classification table 218s Predicted 218s Actual normal chemical overt 218s normal 71 5 0 218s chemical 2 34 0 218s overt 0 7 26 218s 218s Confusion matrix 218s Predicted 218s Actual normal chemical overt 218s normal 0.934 0.066 0.000 218s chemical 0.056 0.944 0.000 218s overt 0.000 0.212 0.788 218s 218s Data: iris 218s Call: 218s Linda(Species ~ ., data = iris, method = method, l1med = TRUE) 218s 218s Prior Probabilities of Groups: 218s setosa versicolor virginica 218s 0.33333 0.33333 0.33333 218s 218s Group means: 218s Sepal.Length Sepal.Width Petal.Length Petal.Width 218s setosa 4.9755 3.3826 1.4608 0.22053 218s versicolor 5.8868 2.7823 4.2339 1.34603 218s virginica 6.5176 2.9691 5.4560 2.06335 218s 218s Within-groups Covariance Matrix: 218s Sepal.Length Sepal.Width Petal.Length Petal.Width 218s Sepal.Length 0.238417 0.136325 0.086377 0.036955 218s Sepal.Width 0.136325 0.148452 0.067500 0.034804 218s Petal.Length 0.086377 0.067500 0.100934 0.035968 218s Petal.Width 0.036955 0.034804 0.035968 0.023856 218s 218s Linear Coeficients: 218s Sepal.Length Sepal.Width Petal.Length Petal.Width 218s setosa 17.106 15.693 7.8806 -52.031 218s versicolor 21.744 -15.813 38.0139 -11.505 218s virginica 23.032 -26.567 43.6391 23.777 218s 218s Constants: 218s setosa versicolor virginica 218s -70.214 -115.832 -180.294 218s 218s Apparent error rate 0.02 218s 218s Classification table 218s Predicted 218s Actual setosa versicolor virginica 218s setosa 50 0 0 218s versicolor 0 49 1 218s virginica 0 2 48 218s 218s Confusion matrix 218s Predicted 218s Actual setosa versicolor virginica 218s setosa 1 0.00 0.00 218s versicolor 0 0.98 0.02 218s virginica 0 0.04 0.96 218s 218s Data: crabs 218s Call: 218s Linda(sp ~ ., data = crabs, method = method) 218s 218s Prior Probabilities of Groups: 218s B O 218s 0.5 0.5 218s 218s Group means: 218s sexM index FL RW CL CW BD 218s B 0 25.5 13.270 12.138 28.102 32.624 11.816 218s O 1 25.5 16.626 12.262 33.688 37.188 15.324 218s 218s Within-groups Covariance Matrix: 218s sexM index FL RW CL CW BD 218s sexM 1.5255e-07 0.000 0.0000 0.0000 0.000 0.000 0.000 218s index 0.0000e+00 337.501 62.8107 46.5073 137.713 154.451 63.514 218s FL 0.0000e+00 62.811 15.3164 9.8612 29.911 33.479 13.805 218s RW 0.0000e+00 46.507 9.8612 8.6949 21.878 24.604 10.092 218s CL 0.0000e+00 137.713 29.9112 21.8779 73.888 73.891 30.486 218s CW 0.0000e+00 154.451 33.4788 24.6038 73.891 92.801 34.122 218s BD 0.0000e+00 63.514 13.8053 10.0923 30.486 34.122 15.854 218s 218s Linear Coeficients: 218s sexM index FL RW CL CW BD 218s B 0 -0.64890 0.95529 2.7299 0.20747 0.28549 -0.23815 218s O 6555120 -0.83294 1.67920 1.8896 0.32330 0.23479 0.51136 218s 218s Constants: 218s B O 218s -2.1491e+01 -3.2776e+06 218s 218s Apparent error rate 0.5 218s 218s Classification table 218s Predicted 218s Actual B O 218s B 50 50 218s O 50 50 218s 218s Confusion matrix 218s Predicted 218s Actual B O 218s B 0.5 0.5 218s O 0.5 0.5 218s 218s Data: fish 218s 218s Apparent error rate 0.2532 218s 218s Classification table 218s Predicted 218s Actual 1 2 3 4 5 6 7 218s 1 33 0 0 1 0 0 0 218s 2 0 3 0 0 0 0 3 218s 3 0 2 5 0 0 0 13 218s 4 0 0 0 11 0 0 0 218s 5 0 0 0 0 14 0 0 218s 6 0 0 0 0 0 17 0 218s 7 0 19 0 0 2 0 35 218s 218s Confusion matrix 218s Predicted 218s Actual 1 2 3 4 5 6 7 218s 1 0.971 0.000 0.00 0.029 0.000 0 0.000 218s 2 0.000 0.500 0.00 0.000 0.000 0 0.500 218s 3 0.000 0.100 0.25 0.000 0.000 0 0.650 218s 4 0.000 0.000 0.00 1.000 0.000 0 0.000 218s 5 0.000 0.000 0.00 0.000 1.000 0 0.000 218s 6 0.000 0.000 0.00 0.000 0.000 1 0.000 218s 7 0.000 0.339 0.00 0.000 0.036 0 0.625 218s 218s Data: pottery 218s Call: 218s Linda(origin ~ ., data = pottery, method = method) 218s 218s Prior Probabilities of Groups: 218s Attic Eritrean 218s 0.48148 0.51852 218s 218s Group means: 218s SI AL FE MG CA TI 218s Attic 55.872 13.986 10.113 5.0235 4.7316 0.88531 218s Eritrean 52.487 16.286 9.499 2.4520 5.3745 0.83959 218s 218s Within-groups Covariance Matrix: 218s SI AL FE MG CA TI 218s SI 12.795913 3.2987125 -0.35496855 0.9399999 -0.0143514 0.01132392 218s AL 3.298713 1.0829436 -0.03394751 0.2838724 0.0501000 0.00117721 218s FE -0.354969 -0.0339475 0.08078156 0.0341568 -0.0457411 0.00043177 218s MG 0.940000 0.2838724 0.03415675 0.4350013 0.1417876 0.00396576 218s CA -0.014351 0.0501000 -0.04574114 0.1417876 0.4196628 -0.00104893 218s TI 0.011324 0.0011772 0.00043177 0.0039658 -0.0010489 0.00026205 218s 218s Linear Coeficients: 218s SI AL FE MG CA TI 218s Attic 36.451 -63.784 352.90 -124.07 110.08 3826.6 218s Eritrean 29.763 -41.039 325.12 -128.32 107.36 3938.1 218s 218s Constants: 218s Attic Eritrean 218s -4000.1 -3776.1 218s 218s Apparent error rate 0.1111 218s 218s Classification table 218s Predicted 218s Actual Attic Eritrean 218s Attic 12 1 218s Eritrean 2 12 218s 218s Confusion matrix 218s Predicted 218s Actual Attic Eritrean 218s Attic 0.923 0.077 218s Eritrean 0.143 0.857 218s 218s Data: olitos 218s 218s Apparent error rate 0.125 218s 218s Classification table 218s Predicted 218s Actual 1 2 3 4 218s 1 44 2 3 1 218s 2 1 23 1 0 218s 3 4 1 27 2 218s 4 0 0 0 11 218s 218s Confusion matrix 218s Predicted 218s Actual 1 2 3 4 218s 1 0.880 0.040 0.060 0.020 218s 2 0.040 0.920 0.040 0.000 218s 3 0.118 0.029 0.794 0.059 218s 4 0.000 0.000 0.000 1.000 218s =================================================== 218s > dodata(method="ogk") 218s 218s Call: dodata(method = "ogk") 218s =================================================== 218s 218s Data: hemophilia 218s Call: 218s Linda(as.factor(gr) ~ ., data = hemophilia, method = method) 218s 218s Prior Probabilities of Groups: 218s carrier normal 218s 0.6 0.4 218s 218s Group means: 218s AHFactivity AHFantigen 218s carrier -0.29043 -0.00052902 218s normal -0.12463 -0.06715037 218s 218s Within-groups Covariance Matrix: 218s AHFactivity AHFantigen 218s AHFactivity 0.015688 0.010544 218s AHFantigen 0.010544 0.016633 218s 218s Linear Coeficients: 218s AHFactivity AHFantigen 218s carrier -32.2203 20.3935 218s normal -9.1149 1.7409 218s 218s Constants: 218s carrier normal 218s -5.1843 -1.4259 218s 218s Apparent error rate 0.1467 218s 218s Classification table 218s Predicted 218s Actual carrier normal 218s carrier 38 7 218s normal 4 26 218s 218s Confusion matrix 218s Predicted 218s Actual carrier normal 218s carrier 0.844 0.156 218s normal 0.133 0.867 218s 218s Data: anorexia 218s Call: 218s Linda(Treat ~ ., data = anorexia, method = method) 218s 218s Prior Probabilities of Groups: 218s CBT Cont FT 218s 0.40278 0.36111 0.23611 218s 218s Group means: 218s Prewt Postwt 218s CBT 82.634 82.060 218s Cont 81.605 80.459 218s FT 85.157 93.822 218s 218s Within-groups Covariance Matrix: 218s Prewt Postwt 218s Prewt 15.8294 4.4663 218s Postwt 4.4663 19.6356 218s 218s Linear Coeficients: 218s Prewt Postwt 218s CBT 4.3183 3.1970 218s Cont 4.2734 3.1256 218s FT 4.3080 3.7983 218s 218s Constants: 218s CBT Cont FT 218s -310.50 -301.12 -363.05 218s 218s Apparent error rate 0.4583 218s 218s Classification table 218s Predicted 218s Actual CBT Cont FT 218s CBT 15 5 9 218s Cont 14 11 1 218s FT 0 4 13 218s 218s Confusion matrix 218s Predicted 218s Actual CBT Cont FT 218s CBT 0.517 0.172 0.310 218s Cont 0.538 0.423 0.038 218s FT 0.000 0.235 0.765 218s 218s Data: Pima 218s Call: 218s Linda(type ~ ., data = Pima.tr, method = method) 218s 218s Prior Probabilities of Groups: 218s No Yes 218s 0.66 0.34 218s 218s Group means: 218s npreg glu bp skin bmi ped age 218s No 2.4175 109.93 67.332 26.324 30.344 0.38740 26.267 218s Yes 5.1853 142.29 75.194 33.151 34.878 0.47977 37.626 218s 218s Within-groups Covariance Matrix: 218s npreg glu bp skin bmi ped age 218s npreg 7.218576 7.52457 6.96595 4.86613 0.45567 -0.054245 14.42648 218s glu 7.524571 517.38370 58.53812 31.57321 22.68396 -0.200222 22.88780 218s bp 6.965950 58.53812 101.50317 27.86784 10.89215 -0.152784 25.41819 218s skin 4.866127 31.57321 27.86784 95.16949 37.45066 -0.117375 14.60676 218s bmi 0.455675 22.68396 10.89215 37.45066 30.89491 0.043400 4.05584 218s ped -0.054245 -0.20022 -0.15278 -0.11737 0.04340 0.051268 -0.18131 218s age 14.426479 22.88780 25.41819 14.60676 4.05584 -0.181311 57.89570 218s 218s Linear Coeficients: 218s npreg glu bp skin bmi ped age 218s No -0.99043 0.12339 0.54101 -0.35335 1.0721 8.4945 0.45482 218s Yes -1.01369 0.17577 0.53898 -0.35554 1.1563 11.0474 0.63966 218s 218s Constants: 218s No Yes 218s -43.449 -60.176 218s 218s Apparent error rate 0.23 218s 218s Classification table 218s Predicted 218s Actual No Yes 218s No 108 24 218s Yes 22 46 218s 218s Confusion matrix 218s Predicted 218s Actual No Yes 218s No 0.818 0.182 218s Yes 0.324 0.676 218s 218s Data: Forest soils 218s 218s Apparent error rate 0.3621 218s 218s Classification table 218s Predicted 218s Actual 1 2 3 218s 1 7 3 1 218s 2 4 13 6 218s 3 3 4 17 218s 218s Confusion matrix 218s Predicted 218s Actual 1 2 3 218s 1 0.636 0.273 0.091 218s 2 0.174 0.565 0.261 218s 3 0.125 0.167 0.708 218s 218s Data: Raven and Miller diabetes data 218s Call: 218s Linda(group ~ insulin + glucose + sspg, data = diabetes, method = method) 218s 218s Prior Probabilities of Groups: 218s normal chemical overt 218s 0.52414 0.24828 0.22759 218s 218s Group means: 218s insulin glucose sspg 218s normal 159.540 344.06 99.486 218s chemical 252.992 478.16 219.442 218s overt 79.635 1094.96 338.517 218s 218s Within-groups Covariance Matrix: 218s insulin glucose sspg 218s insulin 3844.877 67.238 1456.55 218s glucose 67.238 2228.396 324.21 218s sspg 1456.548 324.205 2181.73 218s 218s Linear Coeficients: 218s insulin glucose sspg 218s normal 0.040407 0.15379 -0.0042303 218s chemical 0.047858 0.20764 0.0377766 218s overt -0.026158 0.47736 0.1016873 218s 218s Constants: 218s normal chemical overt 218s -30.115 -61.233 -278.996 218s 218s Apparent error rate 0.0966 218s 218s Classification table 218s Predicted 218s Actual normal chemical overt 218s normal 71 5 0 218s chemical 2 34 0 218s overt 0 7 26 218s 218s Confusion matrix 218s Predicted 218s Actual normal chemical overt 218s normal 0.934 0.066 0.000 218s chemical 0.056 0.944 0.000 218s overt 0.000 0.212 0.788 218s 218s Data: iris 218s Call: 218s Linda(Species ~ ., data = iris, method = method, l1med = TRUE) 218s 218s Prior Probabilities of Groups: 218s setosa versicolor virginica 218s 0.33333 0.33333 0.33333 218s 218s Group means: 218s Sepal.Length Sepal.Width Petal.Length Petal.Width 218s setosa 4.9654 3.3913 1.4507 0.21639 218s versicolor 5.8767 2.7909 4.2238 1.34189 218s virginica 6.5075 2.9777 5.4459 2.05921 218s 218s Within-groups Covariance Matrix: 218s Sepal.Length Sepal.Width Petal.Length Petal.Width 218s Sepal.Length 0.180280 0.068876 0.101512 0.036096 218s Sepal.Width 0.068876 0.079556 0.047722 0.029409 218s Petal.Length 0.101512 0.047722 0.111492 0.038658 218s Petal.Width 0.036096 0.029409 0.038658 0.029965 218s 218s Linear Coeficients: 218s Sepal.Length Sepal.Width Petal.Length Petal.Width 218s setosa 28.582 46.5236 -13.859 -54.9877 218s versicolor 19.837 11.9601 20.865 -17.7704 218s virginica 16.999 1.9046 29.808 7.9189 218s 218s Constants: 218s setosa versicolor virginica 218s -134.94 -108.22 -148.56 218s 218s Apparent error rate 0.0133 218s 218s Classification table 218s Predicted 218s Actual setosa versicolor virginica 218s setosa 50 0 0 218s versicolor 0 49 1 218s virginica 0 1 49 218s 218s Confusion matrix 218s Predicted 218s Actual setosa versicolor virginica 218s setosa 1 0.00 0.00 218s versicolor 0 0.98 0.02 218s virginica 0 0.02 0.98 218s 218s Data: crabs 218s Call: 218s Linda(sp ~ ., data = crabs, method = method) 218s 218s Prior Probabilities of Groups: 218s B O 218s 0.5 0.5 218s 218s Group means: 218s sexM index FL RW CL CW BD 218s B 0.48948 24.060 13.801 11.738 29.491 34.062 12.329 218s O 0.56236 24.043 16.825 13.158 33.574 37.418 15.223 218s 218s Within-groups Covariance Matrix: 218s sexM index FL RW CL CW BD 218s sexM 0.24961 0.50421 0.16645 -0.28574 0.54159 0.48449 0.22563 218s index 0.50421 186.86616 38.46284 25.26749 82.29121 92.11253 37.67723 218s FL 0.16645 38.46284 8.58830 5.56769 18.33015 20.58235 8.32030 218s RW -0.28574 25.26749 5.56769 4.52038 11.70881 13.37643 5.32779 218s CL 0.54159 82.29121 18.33015 11.70881 39.78186 44.52112 18.01179 218s CW 0.48449 92.11253 20.58235 13.37643 44.52112 50.06150 20.16852 218s BD 0.22563 37.67723 8.32030 5.32779 18.01179 20.16852 8.25884 218s 218s Linear Coeficients: 218s sexM index FL RW CL CW BD 218s B 16.497 -2.5896 8.3966 11.518 1.7536 -2.5325 -0.67361 218s O 17.010 -4.0452 23.5400 13.702 4.7871 -14.8264 13.04556 218s 218s Constants: 218s B O 218s -77.695 -147.287 218s 218s Apparent error rate 0 218s 218s Classification table 218s Predicted 218s Actual B O 218s B 100 0 218s O 0 100 218s 218s Confusion matrix 218s Predicted 218s Actual B O 218s B 1 0 218s O 0 1 218s 218s Data: fish 218s 218s Apparent error rate 0.0063 218s 218s Classification table 218s Predicted 218s Actual 1 2 3 4 5 6 7 218s 1 34 0 0 0 0 0 0 218s 2 0 6 0 0 0 0 0 218s 3 0 0 20 0 0 0 0 218s 4 0 0 0 11 0 0 0 218s 5 0 0 0 0 14 0 0 218s 6 0 0 0 0 0 17 0 218s 7 0 0 0 0 1 0 55 218s 218s Confusion matrix 218s Predicted 218s Actual 1 2 3 4 5 6 7 218s 1 1 0 0 0 0.000 0 0.000 218s 2 0 1 0 0 0.000 0 0.000 218s 3 0 0 1 0 0.000 0 0.000 218s 4 0 0 0 1 0.000 0 0.000 218s 5 0 0 0 0 1.000 0 0.000 218s 6 0 0 0 0 0.000 1 0.000 218s 7 0 0 0 0 0.018 0 0.982 218s 218s Data: pottery 218s Call: 218s Linda(origin ~ ., data = pottery, method = method) 218s 218s Prior Probabilities of Groups: 218s Attic Eritrean 218s 0.48148 0.51852 218s 218s Group means: 218s SI AL FE MG CA TI 218s Attic 55.381 14.088 10.1316 4.9588 4.7684 0.88444 218s Eritrean 53.559 16.251 9.1145 2.6213 5.8980 0.82501 218s 218s Within-groups Covariance Matrix: 218s SI AL FE MG CA TI 218s SI 7.878378 1.9064112 -0.545403 0.4167407 -0.11589 0.01850748 218s AL 1.906411 0.6678763 -0.037744 0.1120891 -0.10733 0.00805556 218s FE -0.545403 -0.0377438 0.213914 -0.0192356 -0.23121 0.00582800 218s MG 0.416741 0.1120891 -0.019236 0.2336721 0.17284 -0.00183128 218s CA -0.115888 -0.1073297 -0.231213 0.1728385 0.71388 -0.01895968 218s TI 0.018507 0.0080556 0.005828 -0.0018313 -0.01896 0.00081815 218s 218s Linear Coeficients: 218s SI AL FE MG CA TI 218s Attic 57.784 -107.297 319.31 -152.94 241.66 3813.6 218s Eritrean 52.523 -86.545 306.58 -165.71 242.36 3734.1 218s 218s Constants: 218s Attic Eritrean 218s -4346 -4139 218s 218s Apparent error rate 0.1111 218s 218s Classification table 218s Predicted 218s Actual Attic Eritrean 218s Attic 12 1 218s Eritrean 2 12 218s 218s Confusion matrix 218s Predicted 218s Actual Attic Eritrean 218s Attic 0.923 0.077 218s Eritrean 0.143 0.857 218s 218s Data: olitos 218s 218s Apparent error rate 0.1 218s 218s Classification table 218s Predicted 218s Actual 1 2 3 4 218s 1 45 2 2 1 218s 2 0 25 0 0 218s 3 4 1 27 2 218s 4 0 0 0 11 218s 218s Confusion matrix 218s Predicted 218s Actual 1 2 3 4 218s 1 0.900 0.040 0.040 0.020 218s 2 0.000 1.000 0.000 0.000 218s 3 0.118 0.029 0.794 0.059 218s 4 0.000 0.000 0.000 1.000 218s =================================================== 218s > #dodata(method="fsa") 218s > 218s BEGIN TEST tldapp.R 219s 219s R version 4.4.3 (2025-02-28) -- "Trophy Case" 219s Copyright (C) 2025 The R Foundation for Statistical Computing 219s Platform: x86_64-pc-linux-gnu 219s 219s R is free software and comes with ABSOLUTELY NO WARRANTY. 219s You are welcome to redistribute it under certain conditions. 219s Type 'license()' or 'licence()' for distribution details. 219s 219s R is a collaborative project with many contributors. 219s Type 'contributors()' for more information and 219s 'citation()' on how to cite R or R packages in publications. 219s 219s Type 'demo()' for some demos, 'help()' for on-line help, or 219s 'help.start()' for an HTML browser interface to help. 219s Type 'q()' to quit R. 219s 219s > ## VT::15.09.2013 - this will render the output independent 219s > ## from the version of the package 219s > suppressPackageStartupMessages(library(rrcov)) 219s > library(MASS) 219s > 219s > dodata <- function(method) { 219s + 219s + options(digits = 5) 219s + set.seed(101) 219s + 219s + tmp <- sys.call() 219s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 219s + cat("===================================================\n") 219s + 219s + data(pottery); show(lda <- LdaPP(origin~., data=pottery, method=method)); show(predict(lda)) 219s + data(hemophilia); show(lda <- LdaPP(as.factor(gr)~., data=hemophilia, method=method)); show(predict(lda)) 219s + data(anorexia); show(lda <- LdaPP(Treat~., data=anorexia, method=method)); show(predict(lda)) 219s + data(Pima.tr); show(lda <- LdaPP(type~., data=Pima.tr, method=method)); show(predict(lda)) 219s + data(crabs); show(lda <- LdaPP(sp~., data=crabs, method=method)); show(predict(lda)) 219s + 219s + cat("===================================================\n") 219s + } 219s > 219s > 219s > ## -- now do it: 219s > 219s > ## Commented out - still to slow 219s > ##dodata(method="huber") 219s > ##dodata(method="sest") 219s > 219s > ## VT::14.11.2018 - Commented out: too slow 219s > ## dodata(method="mad") 219s > ## dodata(method="class") 219s > 219s BEGIN TEST tmcd4.R 219s 219s R version 4.4.3 (2025-02-28) -- "Trophy Case" 219s Copyright (C) 2025 The R Foundation for Statistical Computing 219s Platform: x86_64-pc-linux-gnu 219s 219s R is free software and comes with ABSOLUTELY NO WARRANTY. 219s You are welcome to redistribute it under certain conditions. 219s Type 'license()' or 'licence()' for distribution details. 219s 219s R is a collaborative project with many contributors. 219s Type 'contributors()' for more information and 219s 'citation()' on how to cite R or R packages in publications. 219s 219s Type 'demo()' for some demos, 'help()' for on-line help, or 219s 'help.start()' for an HTML browser interface to help. 219s Type 'q()' to quit R. 219s 219s > ## Test the exact fit property of CovMcd 219s > doexactfit <- function(){ 219s + exact <-function(seed=1234){ 219s + 219s + set.seed(seed) 219s + 219s + n1 <- 45 219s + p <- 2 219s + x1 <- matrix(rnorm(p*n1),nrow=n1, ncol=p) 219s + x1[,p] <- x1[,p] + 3 219s + n2 <- 55 219s + m1 <- 0 219s + m2 <- 3 219s + x2 <- cbind(rnorm(n2),rep(m2,n2)) 219s + x<-rbind(x1,x2) 219s + colnames(x) <- c("X1","X2") 219s + x 219s + } 219s + print(CovMcd(exact())) 219s + } 219s > 219s > dodata <- function(nrep=1, time=FALSE, short=FALSE, full=TRUE, method = c("FASTMCD","MASS", "deterministic", "exact", "MRCD")){ 219s + ##@bdescr 219s + ## Test the function covMcd() on the literature datasets: 219s + ## 219s + ## Call CovMcd() for all regression datasets available in rrcov and print: 219s + ## - execution time (if time == TRUE) 219s + ## - objective fucntion 219s + ## - best subsample found (if short == false) 219s + ## - outliers identified (with cutoff 0.975) (if short == false) 219s + ## - estimated center and covarinance matrix if full == TRUE) 219s + ## 219s + ##@edescr 219s + ## 219s + ##@in nrep : [integer] number of repetitions to use for estimating the 219s + ## (average) execution time 219s + ##@in time : [boolean] whether to evaluate the execution time 219s + ##@in short : [boolean] whether to do short output (i.e. only the 219s + ## objective function value). If short == FALSE, 219s + ## the best subsample and the identified outliers are 219s + ## printed. See also the parameter full below 219s + ##@in full : [boolean] whether to print the estimated cente and covariance matrix 219s + ##@in method : [character] select a method: one of (FASTMCD, MASS) 219s + 219s + doest <- function(x, xname, nrep=1){ 219s + n <- dim(x)[1] 219s + p <- dim(x)[2] 219s + if(method == "MASS"){ 219s + mcd<-cov.mcd(x) 219s + quan <- as.integer(floor((n + p + 1)/2)) #default: floor((n+p+1)/2) 219s + } 219s + else{ 219s + mcd <- if(method=="deterministic") CovMcd(x, nsamp="deterministic", trace=FALSE) 219s + else if(method=="exact") CovMcd(x, nsamp="exact", trace=FALSE) 219s + else if(method=="MRCD") CovMrcd(x, trace=FALSE) 219s + else CovMcd(x, trace=FALSE) 219s + quan <- as.integer(mcd@quan) 219s + } 219s + 219s + crit <- mcd@crit 219s + 219s + if(time){ 219s + xtime <- system.time(dorep(x, nrep, method))[1]/nrep 219s + xres <- sprintf("%3d %3d %3d %12.6f %10.3f\n", dim(x)[1], dim(x)[2], quan, crit, xtime) 219s + } 219s + else{ 219s + xres <- sprintf("%3d %3d %3d %12.6f\n", dim(x)[1], dim(x)[2], quan, crit) 219s + } 219s + lpad<-lname-nchar(xname) 219s + cat(pad.right(xname,lpad), xres) 219s + 219s + if(!short){ 219s + cat("Best subsample: \n") 219s + if(length(mcd@best) > 150) 219s + cat("Too long... \n") 219s + else 219s + print(mcd@best) 219s + 219s + ibad <- which(mcd@wt==0) 219s + names(ibad) <- NULL 219s + nbad <- length(ibad) 219s + cat("Outliers: ",nbad,"\n") 219s + if(nbad > 0 & nbad < 150) 219s + print(ibad) 219s + else 219s + cat("Too many to print ... \n") 219s + if(full){ 219s + cat("-------------\n") 219s + show(mcd) 219s + } 219s + cat("--------------------------------------------------------\n") 219s + } 219s + } 219s + 219s + options(digits = 5) 219s + set.seed(101) # <<-- sub-sampling algorithm now based on R's RNG and seed 219s + 219s + lname <- 20 219s + 219s + ## VT::15.09.2013 - this will render the output independent 219s + ## from the version of the package 219s + suppressPackageStartupMessages(library(rrcov)) 219s + 219s + method <- match.arg(method) 219s + if(method == "MASS") 219s + library(MASS) 219s + 219s + data(Animals, package = "MASS") 219s + brain <- Animals[c(1:24, 26:25, 27:28),] 219s + 219s + data(fish) 219s + data(pottery) 219s + data(rice) 219s + data(un86) 219s + data(wages) 219s + 219s + tmp <- sys.call() 219s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 219s + 219s + cat("Data Set n p Half LOG(obj) Time\n") 219s + cat("========================================================\n") 219s + 219s + if(method=="exact") 219s + { 219s + ## only small data sets 219s + doest(heart[, 1:2], data(heart), nrep) 219s + doest(starsCYG, data(starsCYG), nrep) 219s + doest(data.matrix(subset(phosphor, select = -plant)), data(phosphor), nrep) 219s + doest(data.matrix(subset(coleman, select = -Y)), data(coleman), nrep) 219s + doest(data.matrix(subset(salinity, select = -Y)), data(salinity), nrep) 219s + doest(data.matrix(subset(wood, select = -y)), data(wood), nrep) 219s + doest(brain, "Animals", nrep) 219s + doest(lactic, data(lactic), nrep) 219s + doest(pension, data(pension), nrep) 219s + doest(data.matrix(subset(vaso, select = -Y)), data(vaso), nrep) 219s + doest(stack.x, data(stackloss), nrep) 219s + doest(pilot, data(pilot), nrep) 219s + } else 219s + { 219s + doest(heart[, 1:2], data(heart), nrep) 219s + doest(starsCYG, data(starsCYG), nrep) 219s + doest(data.matrix(subset(phosphor, select = -plant)), data(phosphor), nrep) 219s + doest(stack.x, data(stackloss), nrep) 219s + doest(data.matrix(subset(coleman, select = -Y)), data(coleman), nrep) 219s + doest(data.matrix(subset(salinity, select = -Y)), data(salinity), nrep) 219s + doest(data.matrix(subset(wood, select = -y)), data(wood), nrep) 219s + doest(data.matrix(subset(hbk, select = -Y)),data(hbk), nrep) 219s + 219s + doest(brain, "Animals", nrep) 219s + ## doest(milk, data(milk), nrep) # difference between 386 and x64 219s + doest(bushfire, data(bushfire), nrep) 219s + 219s + doest(lactic, data(lactic), nrep) 219s + doest(pension, data(pension), nrep) 219s + ## doest(pilot, data(pilot), nrep) # difference between 386 and x64 219s + 219s + if(method != "MRCD") # these two are quite slow for MRCD, especially the second one 219s + { 219s + doest(radarImage, data(radarImage), nrep) 219s + doest(NOxEmissions, data(NOxEmissions), nrep) 219s + } 219s + 219s + doest(data.matrix(subset(vaso, select = -Y)), data(vaso), nrep) 219s + doest(data.matrix(subset(wagnerGrowth, select = -Period)), data(wagnerGrowth), nrep) 219s + 219s + doest(data.matrix(subset(fish, select = -Species)), data(fish), nrep) 219s + doest(data.matrix(subset(pottery, select = -origin)), data(pottery), nrep) 219s + doest(rice, data(rice), nrep) 219s + doest(un86, data(un86), nrep) 219s + 219s + doest(wages, data(wages), nrep) 219s + 219s + ## from package 'datasets' 219s + doest(airquality[,1:4], data(airquality), nrep) 219s + doest(attitude, data(attitude), nrep) 219s + doest(attenu, data(attenu), nrep) 219s + doest(USJudgeRatings, data(USJudgeRatings), nrep) 219s + doest(USArrests, data(USArrests), nrep) 219s + doest(longley, data(longley), nrep) 219s + doest(Loblolly, data(Loblolly), nrep) 219s + doest(quakes[,1:4], data(quakes), nrep) 219s + } 219s + cat("========================================================\n") 219s + } 219s > 219s > dogen <- function(nrep=1, eps=0.49, method=c("FASTMCD", "MASS")){ 219s + 219s + doest <- function(x, nrep=1){ 219s + gc() 219s + xtime <- system.time(dorep(x, nrep, method))[1]/nrep 219s + cat(sprintf("%6d %3d %10.2f\n", dim(x)[1], dim(x)[2], xtime)) 219s + xtime 219s + } 219s + 219s + set.seed(1234) 219s + 219s + ## VT::15.09.2013 - this will render the output independent 219s + ## from the version of the package 219s + suppressPackageStartupMessages(library(rrcov)) 219s + 219s + library(MASS) 219s + method <- match.arg(method) 219s + 219s + ap <- c(2, 5, 10, 20, 30) 219s + an <- c(100, 500, 1000, 10000, 50000) 219s + 219s + tottime <- 0 219s + cat(" n p Time\n") 219s + cat("=====================\n") 219s + for(i in 1:length(an)) { 219s + for(j in 1:length(ap)) { 219s + n <- an[i] 219s + p <- ap[j] 219s + if(5*p <= n){ 219s + xx <- gendata(n, p, eps) 219s + X <- xx$X 219s + tottime <- tottime + doest(X, nrep) 219s + } 219s + } 219s + } 219s + 219s + cat("=====================\n") 219s + cat("Total time: ", tottime*nrep, "\n") 219s + } 219s > 219s > docheck <- function(n, p, eps){ 219s + xx <- gendata(n,p,eps) 219s + mcd <- CovMcd(xx$X) 219s + check(mcd, xx$xind) 219s + } 219s > 219s > check <- function(mcd, xind){ 219s + ## check if mcd is robust w.r.t xind, i.e. check how many of xind 219s + ## did not get zero weight 219s + mymatch <- xind %in% which(mcd@wt == 0) 219s + length(xind) - length(which(mymatch)) 219s + } 219s > 219s > dorep <- function(x, nrep=1, method=c("FASTMCD","MASS", "deterministic", "exact", "MRCD")){ 219s + 219s + method <- match.arg(method) 219s + for(i in 1:nrep) 219s + if(method == "MASS") 219s + cov.mcd(x) 219s + else 219s + { 219s + if(method=="deterministic") CovMcd(x, nsamp="deterministic", trace=FALSE) 219s + else if(method=="exact") CovMcd(x, nsamp="exact", trace=FALSE) 219s + else if(method=="MRCD") CovMrcd(x, trace=FALSE) 219s + else CovMcd(x, trace=FALSE) 219s + } 219s + } 219s > 219s > #### gendata() #### 219s > # Generates a location contaminated multivariate 219s > # normal sample of n observations in p dimensions 219s > # (1-eps)*Np(0,Ip) + eps*Np(m,Ip) 219s > # where 219s > # m = (b,b,...,b) 219s > # Defaults: eps=0 and b=10 219s > # 219s > gendata <- function(n,p,eps=0,b=10){ 219s + 219s + if(missing(n) || missing(p)) 219s + stop("Please specify (n,p)") 219s + if(eps < 0 || eps >= 0.5) 219s + stop(message="eps must be in [0,0.5)") 219s + X <- mvrnorm(n,rep(0,p),diag(1,nrow=p,ncol=p)) 219s + nbad <- as.integer(eps * n) 219s + if(nbad > 0){ 219s + Xbad <- mvrnorm(nbad,rep(b,p),diag(1,nrow=p,ncol=p)) 219s + xind <- sample(n,nbad) 219s + X[xind,] <- Xbad 219s + } 219s + list(X=X, xind=xind) 219s + } 219s > 219s > pad.right <- function(z, pads) 219s + { 219s + ### Pads spaces to right of text 219s + padding <- paste(rep(" ", pads), collapse = "") 219s + paste(z, padding, sep = "") 219s + } 219s > 219s > whatis<-function(x){ 219s + if(is.data.frame(x)) 219s + cat("Type: data.frame\n") 219s + else if(is.matrix(x)) 219s + cat("Type: matrix\n") 219s + else if(is.vector(x)) 219s + cat("Type: vector\n") 219s + else 219s + cat("Type: don't know\n") 219s + } 219s > 219s > ## VT::15.09.2013 - this will render the output independent 219s > ## from the version of the package 219s > suppressPackageStartupMessages(library(rrcov)) 219s > 219s > dodata() 219s 219s Call: dodata() 219s Data Set n p Half LOG(obj) Time 219s ======================================================== 219s heart 12 2 7 5.678742 219s Best subsample: 219s [1] 1 3 4 5 7 9 11 219s Outliers: 0 219s Too many to print ... 219s ------------- 219s 219s Call: 219s CovMcd(x = x, trace = FALSE) 219s -> Method: Fast MCD(alpha=0.5 ==> h=7); nsamp = 500; (n,k)mini = (300,5) 219s 219s Robust Estimate of Location: 219s height weight 219s 38.3 33.1 219s 219s Robust Estimate of Covariance: 219s height weight 219s height 135 259 219s weight 259 564 219s -------------------------------------------------------- 219s starsCYG 47 2 25 -8.031215 219s Best subsample: 219s [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 219s Outliers: 7 219s [1] 7 9 11 14 20 30 34 219s ------------- 219s 219s Call: 219s CovMcd(x = x, trace = FALSE) 219s -> Method: Fast MCD(alpha=0.5 ==> h=25); nsamp = 500; (n,k)mini = (300,5) 219s 219s Robust Estimate of Location: 219s log.Te log.light 219s 4.41 4.95 219s 219s Robust Estimate of Covariance: 219s log.Te log.light 219s log.Te 0.0132 0.0394 219s log.light 0.0394 0.2743 219s -------------------------------------------------------- 219s phosphor 18 2 10 6.878847 219s Best subsample: 219s [1] 3 5 8 9 11 12 13 14 15 17 219s Outliers: 3 219s [1] 1 6 10 219s ------------- 219s 219s Call: 219s CovMcd(x = x, trace = FALSE) 219s -> Method: Fast MCD(alpha=0.5 ==> h=10); nsamp = 500; (n,k)mini = (300,5) 219s 219s Robust Estimate of Location: 219s inorg organic 219s 13.4 38.8 219s 219s Robust Estimate of Covariance: 219s inorg organic 219s inorg 129 130 219s organic 130 182 219s -------------------------------------------------------- 220s stackloss 21 3 12 5.472581 220s Best subsample: 220s [1] 4 5 6 7 8 9 10 11 12 13 14 20 220s Outliers: 9 220s [1] 1 2 3 15 16 17 18 19 21 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=12); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s Air.Flow Water.Temp Acid.Conc. 220s 59.5 20.8 87.3 220s 220s Robust Estimate of Covariance: 220s Air.Flow Water.Temp Acid.Conc. 220s Air.Flow 6.29 5.85 5.74 220s Water.Temp 5.85 9.23 6.14 220s Acid.Conc. 5.74 6.14 23.25 220s -------------------------------------------------------- 220s coleman 20 5 13 1.286808 220s Best subsample: 220s [1] 2 3 4 5 7 8 12 13 14 16 17 19 20 220s Outliers: 7 220s [1] 1 6 9 10 11 15 18 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=13); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s salaryP fatherWc sstatus teacherSc motherLev 220s 2.76 48.38 6.12 25.00 6.40 220s 220s Robust Estimate of Covariance: 220s salaryP fatherWc sstatus teacherSc motherLev 220s salaryP 0.253 1.786 -0.266 0.151 0.075 220s fatherWc 1.786 1303.382 330.496 12.604 34.503 220s sstatus -0.266 330.496 119.888 3.833 10.131 220s teacherSc 0.151 12.604 3.833 0.785 0.555 220s motherLev 0.075 34.503 10.131 0.555 1.043 220s -------------------------------------------------------- 220s salinity 28 3 16 1.326364 220s Best subsample: 220s [1] 1 2 6 7 8 12 13 14 18 20 21 22 25 26 27 28 220s Outliers: 4 220s [1] 5 16 23 24 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=16); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s X1 X2 X3 220s 10.08 2.78 22.78 220s 220s Robust Estimate of Covariance: 220s X1 X2 X3 220s X1 10.44 1.01 -3.19 220s X2 1.01 3.83 -1.44 220s X3 -3.19 -1.44 2.39 220s -------------------------------------------------------- 220s wood 20 5 13 -36.270094 220s Best subsample: 220s [1] 1 2 3 5 9 10 12 13 14 15 17 18 20 220s Outliers: 7 220s [1] 4 6 7 8 11 16 19 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=13); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s x1 x2 x3 x4 x5 220s 0.587 0.122 0.531 0.538 0.892 220s 220s Robust Estimate of Covariance: 220s x1 x2 x3 x4 x5 220s x1 1.00e-02 1.88e-03 3.15e-03 -5.86e-04 -1.63e-03 220s x2 1.88e-03 4.85e-04 1.27e-03 -5.20e-05 2.36e-05 220s x3 3.15e-03 1.27e-03 6.63e-03 -8.71e-04 3.52e-04 220s x4 -5.86e-04 -5.20e-05 -8.71e-04 2.85e-03 1.83e-03 220s x5 -1.63e-03 2.36e-05 3.52e-04 1.83e-03 2.77e-03 220s -------------------------------------------------------- 220s hbk 75 3 39 -1.047858 220s Best subsample: 220s [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 220s [26] 55 56 58 59 61 63 64 66 67 70 71 72 73 74 220s Outliers: 14 220s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=39); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s X1 X2 X3 220s 1.54 1.78 1.69 220s 220s Robust Estimate of Covariance: 220s X1 X2 X3 220s X1 1.227 0.055 0.127 220s X2 0.055 1.249 0.153 220s X3 0.127 0.153 1.160 220s -------------------------------------------------------- 220s Animals 28 2 15 14.555543 220s Best subsample: 220s [1] 1 3 4 5 10 11 17 18 19 20 21 22 23 26 27 220s Outliers: 14 220s [1] 2 6 7 8 9 12 13 14 15 16 23 24 25 28 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=15); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s body brain 220s 18.7 64.9 220s 220s Robust Estimate of Covariance: 220s body brain 220s body 929 1576 220s brain 1576 5646 220s -------------------------------------------------------- 220s bushfire 38 5 22 18.135810 220s Best subsample: 220s [1] 1 2 3 4 5 6 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 220s Outliers: 16 220s [1] 7 8 9 10 11 12 29 30 31 32 33 34 35 36 37 38 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=22); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s V1 V2 V3 V4 V5 220s 105 147 274 218 279 220s 220s Robust Estimate of Covariance: 220s V1 V2 V3 V4 V5 220s V1 346 268 -1692 -381 -311 220s V2 268 236 -1125 -230 -194 220s V3 -1692 -1125 9993 2455 1951 220s V4 -381 -230 2455 647 505 220s V5 -311 -194 1951 505 398 220s -------------------------------------------------------- 220s lactic 20 2 11 0.359580 220s Best subsample: 220s [1] 1 2 3 4 5 7 8 9 10 11 12 220s Outliers: 4 220s [1] 17 18 19 20 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=11); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s X Y 220s 3.86 5.01 220s 220s Robust Estimate of Covariance: 220s X Y 220s X 10.6 14.6 220s Y 14.6 21.3 220s -------------------------------------------------------- 220s pension 18 2 10 16.675508 220s Best subsample: 220s [1] 1 2 3 4 5 6 8 9 11 12 220s Outliers: 5 220s [1] 14 15 16 17 18 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=10); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s Income Reserves 220s 52.3 560.9 220s 220s Robust Estimate of Covariance: 220s Income Reserves 220s Income 1420 11932 220s Reserves 11932 208643 220s -------------------------------------------------------- 220s radarImage 1573 5 789 36.694425 220s Best subsample: 220s Too long... 220s Outliers: 117 220s [1] 164 237 238 242 261 262 351 450 451 462 480 481 509 516 535 220s [16] 542 572 597 620 643 654 669 697 737 802 803 804 818 832 833 220s [31] 834 862 863 864 892 900 939 989 1029 1064 1123 1132 1145 1202 1223 220s [46] 1224 1232 1233 1249 1250 1258 1259 1267 1303 1347 1357 1368 1375 1376 1393 220s [61] 1394 1402 1403 1411 1417 1419 1420 1428 1436 1443 1444 1453 1470 1479 1487 220s [76] 1492 1504 1510 1511 1512 1517 1518 1519 1520 1521 1522 1525 1526 1527 1528 220s [91] 1530 1532 1534 1543 1544 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 220s [106] 1557 1558 1561 1562 1564 1565 1566 1567 1569 1570 1571 1573 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=789); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s X.coord Y.coord Band.1 Band.2 Band.3 220s 52.80 35.12 6.77 18.44 8.90 220s 220s Robust Estimate of Covariance: 220s X.coord Y.coord Band.1 Band.2 Band.3 220s X.coord 123.6 23.0 -361.9 -197.1 -22.5 220s Y.coord 23.0 400.6 34.3 -191.1 -39.1 220s Band.1 -361.9 34.3 27167.9 8178.8 473.7 220s Band.2 -197.1 -191.1 8178.8 26021.8 952.4 220s Band.3 -22.5 -39.1 473.7 952.4 4458.4 220s -------------------------------------------------------- 220s NOxEmissions 8088 4 4046 2.474539 220s Best subsample: 220s Too long... 220s Outliers: 2156 220s Too many to print ... 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=4046); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s julday LNOx LNOxEm sqrtWS 220s 168.19 4.73 7.91 1.37 220s 220s Robust Estimate of Covariance: 220s julday LNOx LNOxEm sqrtWS 220s julday 9180.6297 12.0306 0.7219 -10.1273 220s LNOx 12.0306 0.4721 0.1418 -0.1526 220s LNOxEm 0.7219 0.1418 0.2516 0.0438 220s sqrtWS -10.1273 -0.1526 0.0438 0.2073 220s -------------------------------------------------------- 220s vaso 39 2 21 -3.972244 220s Best subsample: 220s [1] 3 4 8 14 18 19 20 21 22 23 24 25 26 27 28 33 34 35 37 38 39 220s Outliers: 4 220s [1] 1 2 17 31 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=21); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s Volume Rate 220s 1.16 1.72 220s 220s Robust Estimate of Covariance: 220s Volume Rate 220s Volume 0.313 -0.167 220s Rate -0.167 0.728 220s -------------------------------------------------------- 220s wagnerGrowth 63 6 35 6.572208 220s Best subsample: 220s [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 220s [26] 48 51 52 53 54 55 56 57 60 62 220s Outliers: 13 220s [1] 1 8 15 21 22 28 29 33 42 43 46 50 63 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=35); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s Region PA GPA HS GHS y 220s 11.00 33.66 -2.00 2.48 0.31 7.48 220s 220s Robust Estimate of Covariance: 220s Region PA GPA HS GHS y 220s Region 35.5615 17.9337 -0.5337 -0.9545 -0.3093 -14.0090 220s PA 17.9337 27.7333 -4.9017 -1.4174 0.0343 -28.7040 220s GPA -0.5337 -4.9017 5.3410 0.2690 -0.1484 4.0006 220s HS -0.9545 -1.4174 0.2690 0.8662 -0.0454 2.9024 220s GHS -0.3093 0.0343 -0.1484 -0.0454 0.1772 0.7457 220s y -14.0090 -28.7040 4.0006 2.9024 0.7457 82.6877 220s -------------------------------------------------------- 220s fish 159 6 82 8.879005 220s Best subsample: 220s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 220s [20] 20 21 22 23 24 25 26 27 28 30 32 35 36 37 42 43 44 45 46 220s [39] 47 48 49 50 51 52 53 54 55 56 57 58 59 60 107 109 110 111 113 220s [58] 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 220s [77] 134 135 136 137 138 139 220s Outliers: 63 220s [1] 30 39 40 41 42 62 63 64 65 66 68 69 70 73 74 75 76 77 78 220s [20] 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 220s [39] 98 99 100 101 102 103 104 105 141 143 144 145 147 148 149 150 151 152 153 220s [58] 154 155 156 157 158 159 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=82); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s Weight Length1 Length2 Length3 Height Width 220s 329.9 24.5 26.6 29.7 31.1 14.7 220s 220s Robust Estimate of Covariance: 220s Weight Length1 Length2 Length3 Height Width 220s Weight 69082.99 1477.81 1613.64 1992.62 1439.32 -62.12 220s Length1 1477.81 34.68 37.61 45.51 28.82 -1.31 220s Length2 1613.64 37.61 40.88 49.52 31.81 -1.40 220s Length3 1992.62 45.51 49.52 61.16 42.65 -2.25 220s Height 1439.32 28.82 31.81 42.65 46.74 -2.82 220s Width -62.12 -1.31 -1.40 -2.25 -2.82 1.01 220s -------------------------------------------------------- 220s pottery 27 6 17 -10.586933 220s Best subsample: 220s [1] 1 2 4 5 6 9 10 11 13 14 15 19 20 21 22 26 27 220s Outliers: 9 220s [1] 3 8 12 16 17 18 23 24 25 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=17); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s SI AL FE MG CA TI 220s 54.983 15.206 9.700 3.817 5.211 0.859 220s 220s Robust Estimate of Covariance: 220s SI AL FE MG CA TI 220s SI 20.58227 2.28743 -0.02039 2.12648 -1.80227 0.08821 220s AL 2.28743 4.03605 -0.63021 -2.49966 0.20842 -0.02038 220s FE -0.02039 -0.63021 0.27803 0.53382 -0.35125 0.01427 220s MG 2.12648 -2.49966 0.53382 2.79561 -0.15786 0.02847 220s CA -1.80227 0.20842 -0.35125 -0.15786 1.23240 -0.03465 220s TI 0.08821 -0.02038 0.01427 0.02847 -0.03465 0.00175 220s -------------------------------------------------------- 220s rice 105 6 56 -14.463986 220s Best subsample: 220s [1] 2 4 6 8 10 12 15 18 21 22 24 29 30 31 32 33 34 36 37 220s [20] 38 41 44 45 47 51 52 53 54 55 59 61 65 67 68 69 70 72 76 220s [39] 78 79 80 81 82 83 84 85 86 92 93 94 95 97 98 99 102 105 220s Outliers: 13 220s [1] 9 14 19 28 40 42 49 58 62 71 75 77 89 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=56); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s Favor Appearance Taste Stickiness 220s -0.2731 0.0600 -0.1468 0.0646 220s Toughness Overall_evaluation 220s 0.0894 -0.2192 220s 220s Robust Estimate of Covariance: 220s Favor Appearance Taste Stickiness Toughness 220s Favor 0.388 0.323 0.393 0.389 -0.195 220s Appearance 0.323 0.503 0.494 0.494 -0.270 220s Taste 0.393 0.494 0.640 0.629 -0.361 220s Stickiness 0.389 0.494 0.629 0.815 -0.486 220s Toughness -0.195 -0.270 -0.361 -0.486 0.451 220s Overall_evaluation 0.471 0.575 0.723 0.772 -0.457 220s Overall_evaluation 220s Favor 0.471 220s Appearance 0.575 220s Taste 0.723 220s Stickiness 0.772 220s Toughness -0.457 220s Overall_evaluation 0.882 220s -------------------------------------------------------- 220s un86 73 7 40 17.009322 220s Best subsample: 220s [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 220s [26] 51 52 55 56 60 61 62 63 64 65 67 70 71 72 73 220s Outliers: 30 220s [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 220s [26] 58 59 66 68 69 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=40); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s POP MOR CAR DR GNP DEN TB 220s 20.740 71.023 6.435 0.817 1.146 56.754 0.441 220s 220s Robust Estimate of Covariance: 220s POP MOR CAR DR GNP DEN 220s POP 582.4034 224.9343 -12.6722 -1.6729 -3.3664 226.1952 220s MOR 224.9343 2351.3907 -286.9504 -32.0743 -35.5649 -527.4684 220s CAR -12.6722 -286.9504 58.1190 5.7393 6.6365 83.6180 220s DR -1.6729 -32.0743 5.7393 0.8339 0.5977 12.1938 220s GNP -3.3664 -35.5649 6.6365 0.5977 1.4175 13.0709 220s DEN 226.1952 -527.4684 83.6180 12.1938 13.0709 2041.5809 220s TB 0.4002 -1.1807 0.2701 0.0191 0.0058 -0.9346 220s TB 220s POP 0.4002 220s MOR -1.1807 220s CAR 0.2701 220s DR 0.0191 220s GNP 0.0058 220s DEN -0.9346 220s TB 0.0184 220s -------------------------------------------------------- 220s wages 39 10 19 22.994272 220s Best subsample: 220s [1] 1 2 6 7 8 9 10 11 12 13 14 15 17 18 19 25 26 27 28 220s Outliers: 9 220s [1] 4 5 6 24 28 30 32 33 34 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=19); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s HRS RATE ERSP ERNO NEIN ASSET AGE DEP 220s 2153.37 2.87 1129.16 297.53 360.58 6876.58 39.48 2.36 220s RACE SCHOOL 220s 38.88 10.17 220s 220s Robust Estimate of Covariance: 220s HRS RATE ERSP ERNO NEIN ASSET 220s HRS 6.12e+03 1.73e+01 -1.67e+03 -2.06e+03 9.10e+03 2.02e+05 220s RATE 1.73e+01 2.52e-01 2.14e+01 -3.54e+00 5.85e+01 1.37e+03 220s ERSP -1.67e+03 2.14e+01 1.97e+04 7.76e+01 -1.71e+03 -1.41e+04 220s ERNO -2.06e+03 -3.54e+00 7.76e+01 2.06e+03 -2.02e+03 -4.83e+04 220s NEIN 9.10e+03 5.85e+01 -1.71e+03 -2.02e+03 2.02e+04 4.54e+05 220s ASSET 2.02e+05 1.37e+03 -1.41e+04 -4.83e+04 4.54e+05 1.03e+07 220s AGE -6.29e+01 -2.61e-01 4.83e+00 2.44e+01 -1.08e+02 -2.46e+03 220s DEP -6.17e+00 -7.05e-02 -2.13e+01 2.29e+00 -1.30e+01 -3.16e+02 220s RACE -2.17e+03 -9.46e+00 7.19e+02 5.59e+02 -3.95e+03 -8.77e+04 220s SCHOOL 7.12e+01 5.87e-01 5.39e+01 -2.14e+01 1.63e+02 3.79e+03 220s AGE DEP RACE SCHOOL 220s HRS -6.29e+01 -6.17e+00 -2.17e+03 7.12e+01 220s RATE -2.61e-01 -7.05e-02 -9.46e+00 5.87e-01 220s ERSP 4.83e+00 -2.13e+01 7.19e+02 5.39e+01 220s ERNO 2.44e+01 2.29e+00 5.59e+02 -2.14e+01 220s NEIN -1.08e+02 -1.30e+01 -3.95e+03 1.63e+02 220s ASSET -2.46e+03 -3.16e+02 -8.77e+04 3.79e+03 220s AGE 1.01e+00 7.03e-02 2.39e+01 -9.52e-01 220s DEP 7.03e-02 4.62e-02 2.72e+00 -1.94e-01 220s RACE 2.39e+01 2.72e+00 8.74e+02 -3.09e+01 220s SCHOOL -9.52e-01 -1.94e-01 -3.09e+01 1.62e+00 220s -------------------------------------------------------- 220s airquality 153 4 58 18.213499 220s Best subsample: 220s [1] 3 22 24 25 28 29 32 33 35 36 37 38 39 40 41 42 43 44 46 220s [20] 47 48 49 50 52 56 57 58 59 60 64 66 67 68 69 71 72 73 74 220s [39] 76 78 80 82 83 84 86 87 89 90 91 92 93 94 95 97 98 105 109 220s [58] 110 220s Outliers: 14 220s [1] 8 9 15 18 20 21 23 24 28 30 48 62 117 148 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=58); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s Ozone Solar.R Wind Temp 220s 43.2 192.9 9.6 80.5 220s 220s Robust Estimate of Covariance: 220s Ozone Solar.R Wind Temp 220s Ozone 959.69 771.68 -60.92 198.38 220s Solar.R 771.68 7089.72 -1.72 95.75 220s Wind -60.92 -1.72 10.71 -11.96 220s Temp 198.38 95.75 -11.96 62.78 220s -------------------------------------------------------- 220s attitude 30 7 19 24.442803 220s Best subsample: 220s [1] 2 3 4 5 7 8 10 12 15 17 19 20 22 23 25 27 28 29 30 220s Outliers: 10 220s [1] 1 6 9 13 14 16 18 21 24 26 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=19); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s rating complaints privileges learning raises critical 220s 67.1 68.0 52.4 57.6 67.2 77.4 220s advance 220s 43.4 220s 220s Robust Estimate of Covariance: 220s rating complaints privileges learning raises critical advance 220s rating 169.34 127.83 40.48 110.26 91.71 -3.59 53.84 220s complaints 127.83 156.80 52.65 110.97 96.56 7.27 76.03 220s privileges 40.48 52.65 136.91 92.38 69.00 9.53 87.98 220s learning 110.26 110.97 92.38 157.77 112.92 6.74 75.51 220s raises 91.71 96.56 69.00 112.92 112.79 4.91 70.22 220s critical -3.59 7.27 9.53 6.74 4.91 52.25 15.00 220s advance 53.84 76.03 87.98 75.51 70.22 15.00 93.11 220s -------------------------------------------------------- 220s attenu 182 5 86 6.440834 220s Best subsample: 220s [1] 68 69 70 71 72 73 74 75 76 77 79 82 83 84 85 86 87 88 89 220s [20] 90 91 92 101 102 103 104 106 107 109 110 111 112 113 114 115 116 117 118 220s [39] 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 220s [58] 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 220s [77] 157 158 159 160 161 162 163 164 165 166 220s Outliers: 61 220s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 220s [20] 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 36 37 38 39 220s [39] 40 45 46 47 54 55 56 57 58 59 60 61 64 65 82 97 98 100 101 220s [58] 102 103 104 105 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=86); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s event mag station dist accel 220s 18.624 5.752 67.861 22.770 0.141 220s 220s Robust Estimate of Covariance: 220s event mag station dist accel 220s event 1.64e+01 -1.22e+00 5.59e+01 9.98e+00 -8.37e-02 220s mag -1.22e+00 4.13e-01 -3.19e+00 1.35e+00 1.22e-02 220s station 5.59e+01 -3.19e+00 1.03e+03 7.00e+01 5.56e-01 220s dist 9.98e+00 1.35e+00 7.00e+01 2.21e+02 -9.24e-01 220s accel -8.37e-02 1.22e-02 5.56e-01 -9.24e-01 9.62e-03 220s -------------------------------------------------------- 220s USJudgeRatings 43 12 28 -47.889993 220s Best subsample: 220s [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 220s [26] 38 41 43 220s Outliers: 14 220s [1] 5 7 8 12 13 14 20 21 23 30 31 35 40 42 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=28); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s CONT INTG DMNR DILG CFMG DECI PREP FAMI ORAL WRIT PHYS RTEN 220s 7.40 8.19 7.80 7.96 7.74 7.82 7.74 7.73 7.57 7.63 8.25 7.94 220s 220s Robust Estimate of Covariance: 220s CONT INTG DMNR DILG CFMG DECI PREP FAMI ORAL 220s CONT 0.852 -0.266 -0.422 -0.155 -0.049 -0.074 -0.117 -0.119 -0.177 220s INTG -0.266 0.397 0.537 0.406 0.340 0.325 0.404 0.409 0.430 220s DMNR -0.422 0.537 0.824 0.524 0.458 0.437 0.520 0.504 0.569 220s DILG -0.155 0.406 0.524 0.486 0.426 0.409 0.506 0.515 0.511 220s CFMG -0.049 0.340 0.458 0.426 0.427 0.403 0.466 0.476 0.478 220s DECI -0.074 0.325 0.437 0.409 0.403 0.396 0.449 0.462 0.460 220s PREP -0.117 0.404 0.520 0.506 0.466 0.449 0.552 0.565 0.551 220s FAMI -0.119 0.409 0.504 0.515 0.476 0.462 0.565 0.594 0.571 220s ORAL -0.177 0.430 0.569 0.511 0.478 0.460 0.551 0.571 0.575 220s WRIT -0.159 0.427 0.549 0.515 0.480 0.461 0.556 0.580 0.574 220s PHYS -0.184 0.269 0.362 0.308 0.298 0.307 0.335 0.358 0.369 220s RTEN -0.260 0.472 0.642 0.519 0.467 0.455 0.539 0.554 0.573 220s WRIT PHYS RTEN 220s CONT -0.159 -0.184 -0.260 220s INTG 0.427 0.269 0.472 220s DMNR 0.549 0.362 0.642 220s DILG 0.515 0.308 0.519 220s CFMG 0.480 0.298 0.467 220s DECI 0.461 0.307 0.455 220s PREP 0.556 0.335 0.539 220s FAMI 0.580 0.358 0.554 220s ORAL 0.574 0.369 0.573 220s WRIT 0.580 0.365 0.567 220s PHYS 0.365 0.300 0.378 220s RTEN 0.567 0.378 0.615 220s -------------------------------------------------------- 220s USArrests 50 4 27 15.391648 220s Best subsample: 220s [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 220s [26] 49 50 220s Outliers: 11 220s [1] 2 3 5 6 10 18 24 28 33 37 47 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=27); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s Murder Assault UrbanPop Rape 220s 6.71 145.42 65.06 17.88 220s 220s Robust Estimate of Covariance: 220s Murder Assault UrbanPop Rape 220s Murder 16.1 269.3 20.3 25.2 220s Assault 269.3 6613.0 567.8 453.7 220s UrbanPop 20.3 567.8 225.4 47.7 220s Rape 25.2 453.7 47.7 50.9 220s -------------------------------------------------------- 220s longley 16 7 12 12.747678 220s Best subsample: 220s [1] 5 6 7 8 9 10 11 12 13 14 15 16 220s Outliers: 4 220s [1] 1 2 3 4 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=12); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s GNP.deflator GNP Unemployed Armed.Forces Population 220s 106.5 430.6 328.2 295.0 120.2 220s Year Employed 220s 1956.5 66.9 220s 220s Robust Estimate of Covariance: 220s GNP.deflator GNP Unemployed Armed.Forces Population 220s GNP.deflator 108.5 1039.9 1231.9 -465.6 81.4 220s GNP 1039.9 10300.0 11161.6 -4277.6 803.4 220s Unemployed 1231.9 11161.6 19799.4 -5805.6 929.1 220s Armed.Forces -465.6 -4277.6 -5805.6 2805.5 -327.4 220s Population 81.4 803.4 929.1 -327.4 63.5 220s Year 51.6 504.3 595.6 -216.7 39.7 220s Employed 34.2 344.1 323.6 -149.5 26.2 220s Year Employed 220s GNP.deflator 51.6 34.2 220s GNP 504.3 344.1 220s Unemployed 595.6 323.6 220s Armed.Forces -216.7 -149.5 220s Population 39.7 26.2 220s Year 25.1 16.7 220s Employed 16.7 12.4 220s -------------------------------------------------------- 220s Loblolly 84 3 44 4.898174 220s Best subsample: 220s [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 220s [26] 46 49 50 51 55 56 58 61 62 64 67 68 69 73 74 75 79 80 81 220s Outliers: 31 220s [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 220s [26] 72 76 77 78 83 84 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=44); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s height age Seed 220s 20.44 8.19 7.72 220s 220s Robust Estimate of Covariance: 220s height age Seed 220s height 247.8 79.5 11.9 220s age 79.5 25.7 3.0 220s Seed 11.9 3.0 17.1 220s -------------------------------------------------------- 220s quakes 1000 4 502 8.274369 220s Best subsample: 220s Too long... 220s Outliers: 265 220s Too many to print ... 220s ------------- 220s 220s Call: 220s CovMcd(x = x, trace = FALSE) 220s -> Method: Fast MCD(alpha=0.5 ==> h=502); nsamp = 500; (n,k)mini = (300,5) 220s 220s Robust Estimate of Location: 220s lat long depth mag 220s -21.31 182.48 361.35 4.54 220s 220s Robust Estimate of Covariance: 220s lat long depth mag 220s lat 1.47e+01 3.53e+00 1.34e+02 -2.52e-01 220s long 3.53e+00 4.55e+00 -3.63e+02 4.36e-02 220s depth 1.34e+02 -3.63e+02 4.84e+04 -1.29e+01 220s mag -2.52e-01 4.36e-02 -1.29e+01 1.38e-01 220s -------------------------------------------------------- 220s ======================================================== 220s > dodata(method="deterministic") 220s 220s Call: dodata(method = "deterministic") 220s Data Set n p Half LOG(obj) Time 220s ======================================================== 220s heart 12 2 7 5.678742 220s Best subsample: 220s [1] 1 3 4 5 7 9 11 220s Outliers: 0 220s Too many to print ... 220s ------------- 220s 220s Call: 220s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 220s -> Method: Deterministic MCD(alpha=0.5 ==> h=7) 220s 220s Robust Estimate of Location: 220s height weight 220s 38.3 33.1 220s 220s Robust Estimate of Covariance: 220s height weight 220s height 135 259 220s weight 259 564 220s -------------------------------------------------------- 220s starsCYG 47 2 25 -8.028718 220s Best subsample: 220s [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 220s Outliers: 7 220s [1] 7 9 11 14 20 30 34 220s ------------- 220s 220s Call: 220s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 220s -> Method: Deterministic MCD(alpha=0.5 ==> h=25) 220s 220s Robust Estimate of Location: 220s log.Te log.light 220s 4.41 4.95 220s 220s Robust Estimate of Covariance: 220s log.Te log.light 220s log.Te 0.0132 0.0394 220s log.light 0.0394 0.2743 220s -------------------------------------------------------- 220s phosphor 18 2 10 7.732906 220s Best subsample: 220s [1] 2 4 5 7 8 9 11 12 14 16 220s Outliers: 1 220s [1] 6 220s ------------- 220s 220s Call: 220s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 220s -> Method: Deterministic MCD(alpha=0.5 ==> h=10) 220s 220s Robust Estimate of Location: 220s inorg organic 220s 12.5 40.8 220s 220s Robust Estimate of Covariance: 220s inorg organic 220s inorg 124 101 220s organic 101 197 220s -------------------------------------------------------- 220s stackloss 21 3 12 6.577286 220s Best subsample: 220s [1] 4 5 6 7 8 9 11 13 16 18 19 20 220s Outliers: 2 220s [1] 1 2 220s ------------- 220s 220s Call: 220s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 220s -> Method: Deterministic MCD(alpha=0.5 ==> h=12) 220s 220s Robust Estimate of Location: 220s Air.Flow Water.Temp Acid.Conc. 220s 58.4 20.5 86.1 220s 220s Robust Estimate of Covariance: 220s Air.Flow Water.Temp Acid.Conc. 220s Air.Flow 56.28 13.33 26.68 220s Water.Temp 13.33 8.28 6.98 220s Acid.Conc. 26.68 6.98 37.97 220s -------------------------------------------------------- 220s coleman 20 5 13 2.149184 220s Best subsample: 220s [1] 3 4 5 7 8 12 13 14 16 17 18 19 20 220s Outliers: 2 220s [1] 6 10 220s ------------- 220s 220s Call: 220s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 220s -> Method: Deterministic MCD(alpha=0.5 ==> h=13) 220s 220s Robust Estimate of Location: 220s salaryP fatherWc sstatus teacherSc motherLev 220s 2.76 41.08 2.76 25.01 6.27 220s 220s Robust Estimate of Covariance: 220s salaryP fatherWc sstatus teacherSc motherLev 220s salaryP 0.391 2.956 2.146 0.447 0.110 220s fatherWc 2.956 1358.640 442.724 12.235 32.842 220s sstatus 2.146 442.724 205.590 6.464 11.382 220s teacherSc 0.447 12.235 6.464 1.179 0.510 220s motherLev 0.110 32.842 11.382 0.510 0.919 220s -------------------------------------------------------- 220s salinity 28 3 16 1.940763 220s Best subsample: 220s [1] 1 8 10 12 13 14 15 17 18 20 21 22 25 26 27 28 220s Outliers: 2 220s [1] 5 16 220s ------------- 220s 220s Call: 220s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 220s -> Method: Deterministic MCD(alpha=0.5 ==> h=16) 220s 220s Robust Estimate of Location: 220s X1 X2 X3 220s 10.50 2.58 23.12 220s 220s Robust Estimate of Covariance: 220s X1 X2 X3 220s X1 10.90243 -0.00457 -1.46156 220s X2 -0.00457 3.85051 -1.94604 220s X3 -1.46156 -1.94604 3.21424 220s -------------------------------------------------------- 220s wood 20 5 13 -35.240819 220s Best subsample: 220s [1] 1 2 3 5 9 11 12 13 14 15 17 18 20 220s Outliers: 4 220s [1] 4 6 8 19 220s ------------- 220s 220s Call: 220s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 220s -> Method: Deterministic MCD(alpha=0.5 ==> h=13) 220s 220s Robust Estimate of Location: 220s x1 x2 x3 x4 x5 220s 0.582 0.125 0.530 0.534 0.888 220s 220s Robust Estimate of Covariance: 220s x1 x2 x3 x4 x5 220s x1 1.05e-02 1.81e-03 2.08e-03 -6.41e-04 -9.61e-04 220s x2 1.81e-03 5.55e-04 8.76e-04 -2.03e-04 -4.70e-05 220s x3 2.08e-03 8.76e-04 5.60e-03 -1.11e-03 -1.26e-05 220s x4 -6.41e-04 -2.03e-04 -1.11e-03 4.27e-03 2.60e-03 220s x5 -9.61e-04 -4.70e-05 -1.26e-05 2.60e-03 2.95e-03 220s -------------------------------------------------------- 220s hbk 75 3 39 -1.045501 220s Best subsample: 220s [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 220s [26] 54 55 56 58 59 63 64 66 67 70 71 72 73 74 220s Outliers: 14 220s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 220s ------------- 220s 220s Call: 220s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 220s -> Method: Deterministic MCD(alpha=0.5 ==> h=39) 220s 220s Robust Estimate of Location: 220s X1 X2 X3 220s 1.54 1.78 1.69 220s 220s Robust Estimate of Covariance: 220s X1 X2 X3 220s X1 1.227 0.055 0.127 220s X2 0.055 1.249 0.153 220s X3 0.127 0.153 1.160 220s -------------------------------------------------------- 220s Animals 28 2 15 14.555543 220s Best subsample: 220s [1] 1 3 4 5 10 11 17 18 19 20 21 22 23 26 27 220s Outliers: 14 220s [1] 2 6 7 8 9 12 13 14 15 16 23 24 25 28 220s ------------- 220s 220s Call: 220s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 220s -> Method: Deterministic MCD(alpha=0.5 ==> h=15) 220s 220s Robust Estimate of Location: 220s body brain 220s 18.7 64.9 220s 220s Robust Estimate of Covariance: 220s body brain 220s body 929 1576 220s brain 1576 5646 220s -------------------------------------------------------- 220s bushfire 38 5 22 18.135810 220s Best subsample: 220s [1] 1 2 3 4 5 6 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 220s Outliers: 16 220s [1] 7 8 9 10 11 12 29 30 31 32 33 34 35 36 37 38 220s ------------- 220s 220s Call: 220s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 220s -> Method: Deterministic MCD(alpha=0.5 ==> h=22) 220s 220s Robust Estimate of Location: 220s V1 V2 V3 V4 V5 220s 105 147 274 218 279 220s 220s Robust Estimate of Covariance: 220s V1 V2 V3 V4 V5 220s V1 346 268 -1692 -381 -311 220s V2 268 236 -1125 -230 -194 220s V3 -1692 -1125 9993 2455 1951 220s V4 -381 -230 2455 647 505 220s V5 -311 -194 1951 505 398 220s -------------------------------------------------------- 220s lactic 20 2 11 0.359580 220s Best subsample: 220s [1] 1 2 3 4 5 7 8 9 10 11 12 220s Outliers: 4 220s [1] 17 18 19 20 220s ------------- 220s 220s Call: 220s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 220s -> Method: Deterministic MCD(alpha=0.5 ==> h=11) 220s 220s Robust Estimate of Location: 220s X Y 220s 3.86 5.01 220s 220s Robust Estimate of Covariance: 220s X Y 220s X 10.6 14.6 220s Y 14.6 21.3 220s -------------------------------------------------------- 220s pension 18 2 10 16.675508 220s Best subsample: 220s [1] 1 2 3 4 5 6 8 9 11 12 220s Outliers: 5 220s [1] 14 15 16 17 18 220s ------------- 220s 220s Call: 220s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 220s -> Method: Deterministic MCD(alpha=0.5 ==> h=10) 220s 220s Robust Estimate of Location: 220s Income Reserves 220s 52.3 560.9 220s 220s Robust Estimate of Covariance: 220s Income Reserves 220s Income 1420 11932 220s Reserves 11932 208643 220s -------------------------------------------------------- 220s radarImage 1573 5 789 36.694865 220s Best subsample: 220s Too long... 220s Outliers: 114 220s [1] 164 237 238 242 261 262 351 450 451 462 463 480 481 509 516 220s [16] 535 542 572 597 620 643 654 669 679 697 737 802 803 804 818 220s [31] 832 833 834 862 863 864 892 900 939 989 1029 1064 1123 1132 1145 220s [46] 1202 1223 1224 1232 1233 1249 1250 1258 1259 1267 1303 1347 1357 1368 1375 220s [61] 1376 1393 1394 1402 1411 1417 1419 1420 1428 1436 1443 1444 1453 1470 1504 220s [76] 1510 1511 1512 1518 1519 1520 1521 1522 1525 1526 1527 1528 1530 1532 1534 220s [91] 1543 1544 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1557 1558 1561 220s [106] 1562 1564 1565 1566 1567 1569 1570 1571 1573 220s ------------- 220s 220s Call: 220s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 220s -> Method: Deterministic MCD(alpha=0.5 ==> h=789) 220s 220s Robust Estimate of Location: 220s X.coord Y.coord Band.1 Band.2 Band.3 220s 52.78 35.37 7.12 18.81 9.09 220s 220s Robust Estimate of Covariance: 220s X.coord Y.coord Band.1 Band.2 Band.3 220s X.coord 123.2 21.5 -363.9 -200.1 -24.3 220s Y.coord 21.5 410.7 46.5 -177.3 -33.4 220s Band.1 -363.9 46.5 27051.1 8138.9 469.3 220s Band.2 -200.1 -177.3 8138.9 25938.0 946.2 220s Band.3 -24.3 -33.4 469.3 946.2 4470.1 220s -------------------------------------------------------- 220s NOxEmissions 8088 4 4046 2.474536 220s Best subsample: 220s Too long... 220s Outliers: 2152 220s Too many to print ... 220s ------------- 220s 220s Call: 220s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 220s -> Method: Deterministic MCD(alpha=0.5 ==> h=4046) 220s 220s Robust Estimate of Location: 220s julday LNOx LNOxEm sqrtWS 220s 168.20 4.73 7.91 1.37 220s 220s Robust Estimate of Covariance: 220s julday LNOx LNOxEm sqrtWS 220s julday 9176.2934 12.0355 0.7022 -10.1387 220s LNOx 12.0355 0.4736 0.1430 -0.1528 220s LNOxEm 0.7022 0.1430 0.2527 0.0436 220s sqrtWS -10.1387 -0.1528 0.0436 0.2074 220s -------------------------------------------------------- 220s vaso 39 2 21 -3.972244 220s Best subsample: 220s [1] 3 4 8 14 18 19 20 21 22 23 24 25 26 27 28 33 34 35 37 38 39 220s Outliers: 4 220s [1] 1 2 17 31 220s ------------- 220s 220s Call: 220s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 220s -> Method: Deterministic MCD(alpha=0.5 ==> h=21) 220s 220s Robust Estimate of Location: 220s Volume Rate 220s 1.16 1.72 220s 220s Robust Estimate of Covariance: 220s Volume Rate 220s Volume 0.313 -0.167 220s Rate -0.167 0.728 220s -------------------------------------------------------- 220s wagnerGrowth 63 6 35 6.511864 220s Best subsample: 220s [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 220s [26] 48 51 52 53 54 55 56 57 60 62 220s Outliers: 15 220s [1] 1 8 15 21 22 28 29 33 39 42 43 46 49 50 63 220s ------------- 220s 220s Call: 220s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 220s -> Method: Deterministic MCD(alpha=0.5 ==> h=35) 220s 220s Robust Estimate of Location: 220s Region PA GPA HS GHS y 220s 10.91 33.65 -2.05 2.43 0.31 6.98 220s 220s Robust Estimate of Covariance: 220s Region PA GPA HS GHS y 220s Region 35.1365 17.7291 -1.4003 -0.6554 -0.4728 -14.9305 220s PA 17.7291 28.4297 -5.5245 -1.2444 -0.0452 -29.6181 220s GPA -1.4003 -5.5245 5.2170 0.3954 -0.2152 3.8252 220s HS -0.6554 -1.2444 0.3954 0.7273 -0.0107 2.1514 220s GHS -0.4728 -0.0452 -0.2152 -0.0107 0.1728 0.8440 220s y -14.9305 -29.6181 3.8252 2.1514 0.8440 79.0511 220s -------------------------------------------------------- 220s fish 159 6 82 8.880459 220s Best subsample: 220s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 220s [20] 20 21 22 23 24 25 26 27 35 36 37 42 43 44 45 46 47 48 49 220s [39] 50 51 52 53 54 55 56 57 58 59 60 106 107 108 109 110 111 112 113 220s [58] 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 220s [77] 134 135 136 137 138 139 220s Outliers: 64 220s [1] 30 39 40 41 62 63 64 65 66 68 69 70 73 74 75 76 77 78 79 220s [20] 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 220s [39] 99 100 101 102 103 104 105 141 142 143 144 145 146 147 148 149 150 151 152 220s [58] 153 154 155 156 157 158 159 220s ------------- 220s 220s Call: 220s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 220s -> Method: Deterministic MCD(alpha=0.5 ==> h=82) 220s 220s Robust Estimate of Location: 220s Weight Length1 Length2 Length3 Height Width 220s 316.3 24.1 26.3 29.3 31.0 14.7 220s 220s Robust Estimate of Covariance: 220s Weight Length1 Length2 Length3 Height Width 220s Weight 64662.19 1412.34 1541.95 1917.21 1420.83 -61.15 220s Length1 1412.34 34.14 37.04 45.07 29.25 -1.26 220s Length2 1541.95 37.04 40.26 49.04 32.21 -1.34 220s Length3 1917.21 45.07 49.04 60.82 43.03 -2.15 220s Height 1420.83 29.25 32.21 43.03 46.50 -2.66 220s Width -61.15 -1.26 -1.34 -2.15 -2.66 1.02 220s -------------------------------------------------------- 220s pottery 27 6 17 -10.586933 220s Best subsample: 220s [1] 1 2 4 5 6 9 10 11 13 14 15 19 20 21 22 26 27 220s Outliers: 9 220s [1] 3 8 12 16 17 18 23 24 25 220s ------------- 220s 220s Call: 220s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 220s -> Method: Deterministic MCD(alpha=0.5 ==> h=17) 220s 220s Robust Estimate of Location: 220s SI AL FE MG CA TI 220s 54.983 15.206 9.700 3.817 5.211 0.859 220s 220s Robust Estimate of Covariance: 220s SI AL FE MG CA TI 220s SI 20.58227 2.28743 -0.02039 2.12648 -1.80227 0.08821 220s AL 2.28743 4.03605 -0.63021 -2.49966 0.20842 -0.02038 220s FE -0.02039 -0.63021 0.27803 0.53382 -0.35125 0.01427 220s MG 2.12648 -2.49966 0.53382 2.79561 -0.15786 0.02847 220s CA -1.80227 0.20842 -0.35125 -0.15786 1.23240 -0.03465 220s TI 0.08821 -0.02038 0.01427 0.02847 -0.03465 0.00175 220s -------------------------------------------------------- 221s rice 105 6 56 -14.423048 221s Best subsample: 221s [1] 4 6 8 10 13 15 16 17 18 25 27 29 30 31 32 33 34 36 37 221s [20] 38 44 45 47 51 52 53 55 59 60 65 66 67 70 72 74 76 78 79 221s [39] 80 81 82 83 84 85 86 90 92 93 94 95 97 98 99 100 101 105 221s Outliers: 13 221s [1] 9 19 28 40 42 43 49 58 62 64 71 75 77 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 221s -> Method: Deterministic MCD(alpha=0.5 ==> h=56) 221s 221s Robust Estimate of Location: 221s Favor Appearance Taste Stickiness 221s -0.2950 0.0799 -0.1555 0.0363 221s Toughness Overall_evaluation 221s 0.0530 -0.2284 221s 221s Robust Estimate of Covariance: 221s Favor Appearance Taste Stickiness Toughness 221s Favor 0.466 0.389 0.471 0.447 -0.198 221s Appearance 0.389 0.610 0.592 0.570 -0.293 221s Taste 0.471 0.592 0.760 0.718 -0.356 221s Stickiness 0.447 0.570 0.718 0.820 -0.419 221s Toughness -0.198 -0.293 -0.356 -0.419 0.400 221s Overall_evaluation 0.557 0.669 0.838 0.846 -0.425 221s Overall_evaluation 221s Favor 0.557 221s Appearance 0.669 221s Taste 0.838 221s Stickiness 0.846 221s Toughness -0.425 221s Overall_evaluation 0.987 221s -------------------------------------------------------- 221s un86 73 7 40 17.117142 221s Best subsample: 221s [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 221s [26] 52 55 56 57 60 61 62 63 64 65 67 70 71 72 73 221s Outliers: 30 221s [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 221s [26] 58 59 66 68 69 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 221s -> Method: Deterministic MCD(alpha=0.5 ==> h=40) 221s 221s Robust Estimate of Location: 221s POP MOR CAR DR GNP DEN TB 221s 17.036 68.512 6.444 0.877 1.134 64.140 0.433 221s 221s Robust Estimate of Covariance: 221s POP MOR CAR DR GNP DEN 221s POP 3.61e+02 1.95e+02 -6.28e+00 -1.91e-02 -2.07e+00 5.79e+01 221s MOR 1.95e+02 2.39e+03 -2.79e+02 -3.37e+01 -3.39e+01 -9.21e+02 221s CAR -6.28e+00 -2.79e+02 5.76e+01 5.77e+00 6.59e+00 7.81e+01 221s DR -1.91e-02 -3.37e+01 5.77e+00 9.07e-01 5.66e-01 1.69e+01 221s GNP -2.07e+00 -3.39e+01 6.59e+00 5.66e-01 1.42e+00 9.28e+00 221s DEN 5.79e+01 -9.21e+02 7.81e+01 1.69e+01 9.28e+00 3.53e+03 221s TB -6.09e-02 -9.93e-01 2.50e-01 1.98e-02 6.82e-03 -9.75e-01 221s TB 221s POP -6.09e-02 221s MOR -9.93e-01 221s CAR 2.50e-01 221s DR 1.98e-02 221s GNP 6.82e-03 221s DEN -9.75e-01 221s TB 1.64e-02 221s -------------------------------------------------------- 221s wages 39 10 19 23.119456 221s Best subsample: 221s [1] 1 2 5 6 7 9 10 11 12 13 14 15 19 21 23 25 26 27 28 221s Outliers: 9 221s [1] 4 5 9 24 25 26 28 32 34 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 221s -> Method: Deterministic MCD(alpha=0.5 ==> h=19) 221s 221s Robust Estimate of Location: 221s HRS RATE ERSP ERNO NEIN ASSET AGE DEP 221s 2161.89 2.95 1114.21 297.68 374.00 7269.37 39.13 2.43 221s RACE SCHOOL 221s 36.13 10.39 221s 221s Robust Estimate of Covariance: 221s HRS RATE ERSP ERNO NEIN ASSET 221s HRS 3.53e+03 8.31e+00 -5.96e+03 -6.43e+02 5.15e+03 1.12e+05 221s RATE 8.31e+00 1.78e-01 8.19e+00 2.70e+00 3.90e+01 8.94e+02 221s ERSP -5.96e+03 8.19e+00 1.90e+04 1.13e+03 -4.73e+03 -9.49e+04 221s ERNO -6.43e+02 2.70e+00 1.13e+03 1.80e+03 -3.56e+02 -7.33e+03 221s NEIN 5.15e+03 3.90e+01 -4.73e+03 -3.56e+02 1.38e+04 3.00e+05 221s ASSET 1.12e+05 8.94e+02 -9.49e+04 -7.33e+03 3.00e+05 6.62e+06 221s AGE -3.33e+01 -6.55e-02 8.33e+01 1.50e+00 -3.28e+01 -7.55e+02 221s DEP 4.50e+00 -4.01e-02 -2.77e+01 1.31e+00 -8.09e+00 -1.61e+02 221s RACE -1.30e+03 -6.06e+00 1.80e+03 1.48e+02 -2.58e+03 -5.59e+04 221s SCHOOL 3.01e+01 3.58e-01 -5.57e+00 2.84e+00 9.26e+01 2.10e+03 221s AGE DEP RACE SCHOOL 221s HRS -3.33e+01 4.50e+00 -1.30e+03 3.01e+01 221s RATE -6.55e-02 -4.01e-02 -6.06e+00 3.58e-01 221s ERSP 8.33e+01 -2.77e+01 1.80e+03 -5.57e+00 221s ERNO 1.50e+00 1.31e+00 1.48e+02 2.84e+00 221s NEIN -3.28e+01 -8.09e+00 -2.58e+03 9.26e+01 221s ASSET -7.55e+02 -1.61e+02 -5.59e+04 2.10e+03 221s AGE 6.57e-01 -1.64e-01 1.13e+01 -2.67e-01 221s DEP -1.64e-01 9.20e-02 2.38e-01 -6.01e-02 221s RACE 1.13e+01 2.38e-01 5.73e+02 -1.67e+01 221s SCHOOL -2.67e-01 -6.01e-02 -1.67e+01 7.95e-01 221s -------------------------------------------------------- 221s airquality 153 4 58 18.316848 221s Best subsample: 221s [1] 2 3 8 10 24 25 28 32 33 35 36 37 38 39 40 41 42 43 46 221s [20] 47 48 49 50 52 54 56 57 58 59 60 66 67 69 71 72 73 76 78 221s [39] 81 82 84 86 87 89 90 91 92 95 97 98 100 101 105 106 108 109 110 221s [58] 111 221s Outliers: 10 221s [1] 8 9 15 18 24 30 48 62 117 148 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 221s -> Method: Deterministic MCD(alpha=0.5 ==> h=58) 221s 221s Robust Estimate of Location: 221s Ozone Solar.R Wind Temp 221s 40.80 189.37 9.66 78.81 221s 221s Robust Estimate of Covariance: 221s Ozone Solar.R Wind Temp 221s Ozone 935.54 857.76 -56.30 220.48 221s Solar.R 857.76 8507.83 1.36 155.13 221s Wind -56.30 1.36 9.90 -11.61 221s Temp 220.48 155.13 -11.61 84.00 221s -------------------------------------------------------- 221s attitude 30 7 19 24.464288 221s Best subsample: 221s [1] 2 3 4 5 7 8 10 11 12 15 17 19 21 22 23 25 27 28 29 221s Outliers: 8 221s [1] 6 9 13 14 16 18 24 26 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 221s -> Method: Deterministic MCD(alpha=0.5 ==> h=19) 221s 221s Robust Estimate of Location: 221s rating complaints privileges learning raises critical 221s 64.4 65.2 51.0 55.5 65.9 77.4 221s advance 221s 43.2 221s 221s Robust Estimate of Covariance: 221s rating complaints privileges learning raises critical advance 221s rating 199.95 162.36 115.83 160.44 128.87 -13.55 66.20 221s complaints 162.36 204.84 130.33 170.66 150.19 16.28 96.66 221s privileges 115.83 130.33 181.31 152.63 106.56 4.52 91.44 221s learning 160.44 170.66 152.63 213.06 156.57 9.92 88.31 221s raises 128.87 150.19 106.56 156.57 152.05 23.10 84.00 221s critical -13.55 16.28 4.52 9.92 23.10 80.22 27.15 221s advance 66.20 96.66 91.44 88.31 84.00 27.15 95.51 221s -------------------------------------------------------- 221s attenu 182 5 86 6.593068 221s Best subsample: 221s [1] 41 42 43 44 48 49 51 68 70 72 73 74 75 76 77 82 83 84 85 221s [20] 86 87 88 89 90 91 92 101 102 103 104 106 107 109 110 111 112 113 114 221s [39] 115 116 117 119 120 121 122 124 125 126 127 128 129 130 131 132 133 134 135 221s [58] 136 137 138 139 140 141 144 145 146 147 148 149 150 151 152 153 154 155 156 221s [77] 157 158 159 160 161 162 163 164 165 166 221s Outliers: 49 221s [1] 1 2 4 5 6 7 8 9 10 11 12 13 14 15 16 19 20 21 22 221s [20] 23 24 25 27 28 29 30 31 32 33 40 45 47 59 60 61 64 65 78 221s [39] 82 83 97 98 100 101 102 103 104 105 117 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 221s -> Method: Deterministic MCD(alpha=0.5 ==> h=86) 221s 221s Robust Estimate of Location: 221s event mag station dist accel 221s 17.122 5.798 63.461 25.015 0.131 221s 221s Robust Estimate of Covariance: 221s event mag station dist accel 221s event 2.98e+01 -1.58e+00 9.49e+01 -8.36e+00 -3.59e-02 221s mag -1.58e+00 4.26e-01 -3.88e+00 3.13e+00 5.30e-03 221s station 9.49e+01 -3.88e+00 1.10e+03 2.60e+01 5.38e-01 221s dist -8.36e+00 3.13e+00 2.60e+01 2.66e+02 -9.23e-01 221s accel -3.59e-02 5.30e-03 5.38e-01 -9.23e-01 7.78e-03 221s -------------------------------------------------------- 221s USJudgeRatings 43 12 28 -47.886937 221s Best subsample: 221s [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 221s [26] 40 41 43 221s Outliers: 14 221s [1] 1 5 7 8 12 13 14 17 20 21 23 31 35 42 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 221s -> Method: Deterministic MCD(alpha=0.5 ==> h=28) 221s 221s Robust Estimate of Location: 221s CONT INTG DMNR DILG CFMG DECI PREP FAMI ORAL WRIT PHYS RTEN 221s 7.46 8.26 7.88 8.06 7.85 7.92 7.84 7.83 7.67 7.74 8.31 8.03 221s 221s Robust Estimate of Covariance: 221s CONT INTG DMNR DILG CFMG DECI PREP FAMI 221s CONT 0.7363 -0.2916 -0.4193 -0.1943 -0.0555 -0.0690 -0.1703 -0.1727 221s INTG -0.2916 0.4179 0.5511 0.4167 0.3176 0.3102 0.4247 0.4279 221s DMNR -0.4193 0.5511 0.8141 0.5256 0.4092 0.3934 0.5294 0.5094 221s DILG -0.1943 0.4167 0.5256 0.4820 0.3904 0.3819 0.5054 0.5104 221s CFMG -0.0555 0.3176 0.4092 0.3904 0.3595 0.3368 0.4180 0.4206 221s DECI -0.0690 0.3102 0.3934 0.3819 0.3368 0.3310 0.4135 0.4194 221s PREP -0.1703 0.4247 0.5294 0.5054 0.4180 0.4135 0.5647 0.5752 221s FAMI -0.1727 0.4279 0.5094 0.5104 0.4206 0.4194 0.5752 0.6019 221s ORAL -0.2109 0.4453 0.5646 0.5054 0.4200 0.4121 0.5575 0.5735 221s WRIT -0.2033 0.4411 0.5466 0.5087 0.4222 0.4147 0.5592 0.5787 221s PHYS -0.1624 0.2578 0.3163 0.2833 0.2268 0.2362 0.3108 0.3284 221s RTEN -0.2622 0.4872 0.6324 0.5203 0.4145 0.4081 0.5488 0.5595 221s ORAL WRIT PHYS RTEN 221s CONT -0.2109 -0.2033 -0.1624 -0.2622 221s INTG 0.4453 0.4411 0.2578 0.4872 221s DMNR 0.5646 0.5466 0.3163 0.6324 221s DILG 0.5054 0.5087 0.2833 0.5203 221s CFMG 0.4200 0.4222 0.2268 0.4145 221s DECI 0.4121 0.4147 0.2362 0.4081 221s PREP 0.5575 0.5592 0.3108 0.5488 221s FAMI 0.5735 0.5787 0.3284 0.5595 221s ORAL 0.5701 0.5677 0.3283 0.5688 221s WRIT 0.5677 0.5715 0.3268 0.5645 221s PHYS 0.3283 0.3268 0.2302 0.3308 221s RTEN 0.5688 0.5645 0.3308 0.6057 221s -------------------------------------------------------- 221s USArrests 50 4 27 15.438912 221s Best subsample: 221s [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 221s [26] 49 50 221s Outliers: 7 221s [1] 2 5 6 10 24 28 33 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 221s -> Method: Deterministic MCD(alpha=0.5 ==> h=27) 221s 221s Robust Estimate of Location: 221s Murder Assault UrbanPop Rape 221s 6.91 150.10 65.88 18.75 221s 221s Robust Estimate of Covariance: 221s Murder Assault UrbanPop Rape 221s Murder 17.9 285.4 17.6 25.0 221s Assault 285.4 6572.8 524.9 465.0 221s UrbanPop 17.6 524.9 211.9 50.5 221s Rape 25.0 465.0 50.5 56.4 221s -------------------------------------------------------- 221s longley 16 7 12 12.747678 221s Best subsample: 221s [1] 5 6 7 8 9 10 11 12 13 14 15 16 221s Outliers: 4 221s [1] 1 2 3 4 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 221s -> Method: Deterministic MCD(alpha=0.5 ==> h=12) 221s 221s Robust Estimate of Location: 221s GNP.deflator GNP Unemployed Armed.Forces Population 221s 106.5 430.6 328.2 295.0 120.2 221s Year Employed 221s 1956.5 66.9 221s 221s Robust Estimate of Covariance: 221s GNP.deflator GNP Unemployed Armed.Forces Population 221s GNP.deflator 108.5 1039.9 1231.9 -465.6 81.4 221s GNP 1039.9 10300.0 11161.6 -4277.6 803.4 221s Unemployed 1231.9 11161.6 19799.4 -5805.6 929.1 221s Armed.Forces -465.6 -4277.6 -5805.6 2805.5 -327.4 221s Population 81.4 803.4 929.1 -327.4 63.5 221s Year 51.6 504.3 595.6 -216.7 39.7 221s Employed 34.2 344.1 323.6 -149.5 26.2 221s Year Employed 221s GNP.deflator 51.6 34.2 221s GNP 504.3 344.1 221s Unemployed 595.6 323.6 221s Armed.Forces -216.7 -149.5 221s Population 39.7 26.2 221s Year 25.1 16.7 221s Employed 16.7 12.4 221s -------------------------------------------------------- 221s Loblolly 84 3 44 4.898174 221s Best subsample: 221s [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 221s [26] 46 49 50 51 55 56 58 61 62 64 67 68 69 73 74 75 79 80 81 221s Outliers: 31 221s [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 221s [26] 72 76 77 78 83 84 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 221s -> Method: Deterministic MCD(alpha=0.5 ==> h=44) 221s 221s Robust Estimate of Location: 221s height age Seed 221s 20.44 8.19 7.72 221s 221s Robust Estimate of Covariance: 221s height age Seed 221s height 247.8 79.5 11.9 221s age 79.5 25.7 3.0 221s Seed 11.9 3.0 17.1 221s -------------------------------------------------------- 221s quakes 1000 4 502 8.274209 221s Best subsample: 221s Too long... 221s Outliers: 266 221s Too many to print ... 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "deterministic", trace = FALSE) 221s -> Method: Deterministic MCD(alpha=0.5 ==> h=502) 221s 221s Robust Estimate of Location: 221s lat long depth mag 221s -21.34 182.47 360.58 4.54 221s 221s Robust Estimate of Covariance: 221s lat long depth mag 221s lat 1.50e+01 3.58e+00 1.37e+02 -2.66e-01 221s long 3.58e+00 4.55e+00 -3.61e+02 4.64e-02 221s depth 1.37e+02 -3.61e+02 4.84e+04 -1.36e+01 221s mag -2.66e-01 4.64e-02 -1.36e+01 1.34e-01 221s -------------------------------------------------------- 221s ======================================================== 221s > dodata(method="exact") 221s 221s Call: dodata(method = "exact") 221s Data Set n p Half LOG(obj) Time 221s ======================================================== 221s heart 12 2 7 5.678742 221s Best subsample: 221s [1] 1 3 4 5 7 9 11 221s Outliers: 0 221s Too many to print ... 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "exact", trace = FALSE) 221s -> Method: Fast MCD(alpha=0.5 ==> h=7); nsamp = exact; (n,k)mini = (300,5) 221s 221s Robust Estimate of Location: 221s height weight 221s 38.3 33.1 221s 221s Robust Estimate of Covariance: 221s height weight 221s height 135 259 221s weight 259 564 221s -------------------------------------------------------- 221s starsCYG 47 2 25 -8.031215 221s Best subsample: 221s [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 221s Outliers: 7 221s [1] 7 9 11 14 20 30 34 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "exact", trace = FALSE) 221s -> Method: Fast MCD(alpha=0.5 ==> h=25); nsamp = exact; (n,k)mini = (300,5) 221s 221s Robust Estimate of Location: 221s log.Te log.light 221s 4.41 4.95 221s 221s Robust Estimate of Covariance: 221s log.Te log.light 221s log.Te 0.0132 0.0394 221s log.light 0.0394 0.2743 221s -------------------------------------------------------- 221s phosphor 18 2 10 6.878847 221s Best subsample: 221s [1] 3 5 8 9 11 12 13 14 15 17 221s Outliers: 3 221s [1] 1 6 10 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "exact", trace = FALSE) 221s -> Method: Fast MCD(alpha=0.5 ==> h=10); nsamp = exact; (n,k)mini = (300,5) 221s 221s Robust Estimate of Location: 221s inorg organic 221s 13.4 38.8 221s 221s Robust Estimate of Covariance: 221s inorg organic 221s inorg 129 130 221s organic 130 182 221s -------------------------------------------------------- 221s coleman 20 5 13 1.286808 221s Best subsample: 221s [1] 2 3 4 5 7 8 12 13 14 16 17 19 20 221s Outliers: 7 221s [1] 1 6 9 10 11 15 18 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "exact", trace = FALSE) 221s -> Method: Fast MCD(alpha=0.5 ==> h=13); nsamp = exact; (n,k)mini = (300,5) 221s 221s Robust Estimate of Location: 221s salaryP fatherWc sstatus teacherSc motherLev 221s 2.76 48.38 6.12 25.00 6.40 221s 221s Robust Estimate of Covariance: 221s salaryP fatherWc sstatus teacherSc motherLev 221s salaryP 0.253 1.786 -0.266 0.151 0.075 221s fatherWc 1.786 1303.382 330.496 12.604 34.503 221s sstatus -0.266 330.496 119.888 3.833 10.131 221s teacherSc 0.151 12.604 3.833 0.785 0.555 221s motherLev 0.075 34.503 10.131 0.555 1.043 221s -------------------------------------------------------- 221s salinity 28 3 16 1.326364 221s Best subsample: 221s [1] 1 2 6 7 8 12 13 14 18 20 21 22 25 26 27 28 221s Outliers: 4 221s [1] 5 16 23 24 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "exact", trace = FALSE) 221s -> Method: Fast MCD(alpha=0.5 ==> h=16); nsamp = exact; (n,k)mini = (300,5) 221s 221s Robust Estimate of Location: 221s X1 X2 X3 221s 10.08 2.78 22.78 221s 221s Robust Estimate of Covariance: 221s X1 X2 X3 221s X1 10.44 1.01 -3.19 221s X2 1.01 3.83 -1.44 221s X3 -3.19 -1.44 2.39 221s -------------------------------------------------------- 221s wood 20 5 13 -36.270094 221s Best subsample: 221s [1] 1 2 3 5 9 10 12 13 14 15 17 18 20 221s Outliers: 7 221s [1] 4 6 7 8 11 16 19 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "exact", trace = FALSE) 221s -> Method: Fast MCD(alpha=0.5 ==> h=13); nsamp = exact; (n,k)mini = (300,5) 221s 221s Robust Estimate of Location: 221s x1 x2 x3 x4 x5 221s 0.587 0.122 0.531 0.538 0.892 221s 221s Robust Estimate of Covariance: 221s x1 x2 x3 x4 x5 221s x1 1.00e-02 1.88e-03 3.15e-03 -5.86e-04 -1.63e-03 221s x2 1.88e-03 4.85e-04 1.27e-03 -5.20e-05 2.36e-05 221s x3 3.15e-03 1.27e-03 6.63e-03 -8.71e-04 3.52e-04 221s x4 -5.86e-04 -5.20e-05 -8.71e-04 2.85e-03 1.83e-03 221s x5 -1.63e-03 2.36e-05 3.52e-04 1.83e-03 2.77e-03 221s -------------------------------------------------------- 221s Animals 28 2 15 14.555543 221s Best subsample: 221s [1] 1 3 4 5 10 11 17 18 19 20 21 22 23 26 27 221s Outliers: 14 221s [1] 2 6 7 8 9 12 13 14 15 16 23 24 25 28 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "exact", trace = FALSE) 221s -> Method: Fast MCD(alpha=0.5 ==> h=15); nsamp = exact; (n,k)mini = (300,5) 221s 221s Robust Estimate of Location: 221s body brain 221s 18.7 64.9 221s 221s Robust Estimate of Covariance: 221s body brain 221s body 929 1576 221s brain 1576 5646 221s -------------------------------------------------------- 221s lactic 20 2 11 0.359580 221s Best subsample: 221s [1] 1 2 3 4 5 7 8 9 10 11 12 221s Outliers: 4 221s [1] 17 18 19 20 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "exact", trace = FALSE) 221s -> Method: Fast MCD(alpha=0.5 ==> h=11); nsamp = exact; (n,k)mini = (300,5) 221s 221s Robust Estimate of Location: 221s X Y 221s 3.86 5.01 221s 221s Robust Estimate of Covariance: 221s X Y 221s X 10.6 14.6 221s Y 14.6 21.3 221s -------------------------------------------------------- 221s pension 18 2 10 16.675508 221s Best subsample: 221s [1] 1 2 3 4 5 6 8 9 11 12 221s Outliers: 5 221s [1] 14 15 16 17 18 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "exact", trace = FALSE) 221s -> Method: Fast MCD(alpha=0.5 ==> h=10); nsamp = exact; (n,k)mini = (300,5) 221s 221s Robust Estimate of Location: 221s Income Reserves 221s 52.3 560.9 221s 221s Robust Estimate of Covariance: 221s Income Reserves 221s Income 1420 11932 221s Reserves 11932 208643 221s -------------------------------------------------------- 221s vaso 39 2 21 -3.972244 221s Best subsample: 221s [1] 3 4 8 14 18 19 20 21 22 23 24 25 26 27 28 33 34 35 37 38 39 221s Outliers: 4 221s [1] 1 2 17 31 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "exact", trace = FALSE) 221s -> Method: Fast MCD(alpha=0.5 ==> h=21); nsamp = exact; (n,k)mini = (300,5) 221s 221s Robust Estimate of Location: 221s Volume Rate 221s 1.16 1.72 221s 221s Robust Estimate of Covariance: 221s Volume Rate 221s Volume 0.313 -0.167 221s Rate -0.167 0.728 221s -------------------------------------------------------- 221s stackloss 21 3 12 5.472581 221s Best subsample: 221s [1] 4 5 6 7 8 9 10 11 12 13 14 20 221s Outliers: 9 221s [1] 1 2 3 15 16 17 18 19 21 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "exact", trace = FALSE) 221s -> Method: Fast MCD(alpha=0.5 ==> h=12); nsamp = exact; (n,k)mini = (300,5) 221s 221s Robust Estimate of Location: 221s Air.Flow Water.Temp Acid.Conc. 221s 59.5 20.8 87.3 221s 221s Robust Estimate of Covariance: 221s Air.Flow Water.Temp Acid.Conc. 221s Air.Flow 6.29 5.85 5.74 221s Water.Temp 5.85 9.23 6.14 221s Acid.Conc. 5.74 6.14 23.25 221s -------------------------------------------------------- 221s pilot 20 2 11 6.487287 221s Best subsample: 221s [1] 2 3 6 7 9 12 15 16 17 18 20 221s Outliers: 0 221s Too many to print ... 221s ------------- 221s 221s Call: 221s CovMcd(x = x, nsamp = "exact", trace = FALSE) 221s -> Method: Fast MCD(alpha=0.5 ==> h=11); nsamp = exact; (n,k)mini = (300,5) 221s 221s Robust Estimate of Location: 221s X Y 221s 101.1 67.7 221s 221s Robust Estimate of Covariance: 221s X Y 221s X 3344 1070 221s Y 1070 343 221s -------------------------------------------------------- 221s ======================================================== 221s > dodata(method="MRCD") 221s 221s Call: dodata(method = "MRCD") 221s Data Set n p Half LOG(obj) Time 221s ======================================================== 221s heart 12 2 6 7.446266 221s Best subsample: 221s [1] 1 3 4 7 9 11 221s Outliers: 0 221s Too many to print ... 221s ------------- 221s 221s Call: 221s CovMrcd(x = x, trace = FALSE) 221s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=6) 221s 221s Robust Estimate of Location: 221s height weight 221s 38.8 33.0 221s 221s Robust Estimate of Covariance: 221s height weight 221s height 47.4 75.2 221s weight 75.2 155.4 221s -------------------------------------------------------- 221s starsCYG 47 2 24 -5.862050 221s Best subsample: 221s [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 221s Outliers: 0 221s Too many to print ... 221s ------------- 221s 221s Call: 221s CovMrcd(x = x, trace = FALSE) 221s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=24) 221s 221s Robust Estimate of Location: 221s log.Te log.light 221s 4.44 5.05 221s 221s Robust Estimate of Covariance: 221s log.Te log.light 221s log.Te 0.00867 0.02686 221s log.light 0.02686 0.41127 221s -------------------------------------------------------- 221s phosphor 18 2 9 9.954788 221s Best subsample: 221s [1] 4 7 8 9 11 12 13 14 16 221s Outliers: 0 221s Too many to print ... 221s ------------- 221s 221s Call: 221s CovMrcd(x = x, trace = FALSE) 221s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=9) 221s 221s Robust Estimate of Location: 221s inorg organic 221s 12.5 39.0 221s 221s Robust Estimate of Covariance: 221s inorg organic 221s inorg 236 140 221s organic 140 172 221s -------------------------------------------------------- 221s stackloss 21 3 11 7.991165 221s Best subsample: 221s [1] 4 5 6 7 8 9 10 13 18 19 20 221s Outliers: 0 221s Too many to print ... 221s ------------- 221s 221s Call: 221s CovMrcd(x = x, trace = FALSE) 221s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=11) 221s 221s Robust Estimate of Location: 221s Air.Flow Water.Temp Acid.Conc. 221s 58.2 21.4 85.2 221s 221s Robust Estimate of Covariance: 221s Air.Flow Water.Temp Acid.Conc. 221s Air.Flow 49.8 17.2 42.7 221s Water.Temp 17.2 13.8 25.2 221s Acid.Conc. 42.7 25.2 58.2 221s -------------------------------------------------------- 221s coleman 20 5 10 5.212156 221s Best subsample: 221s [1] 3 4 5 7 8 9 14 16 19 20 221s Outliers: 0 221s Too many to print ... 221s ------------- 221s 221s Call: 221s CovMrcd(x = x, trace = FALSE) 221s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=10) 221s 221s Robust Estimate of Location: 221s salaryP fatherWc sstatus teacherSc motherLev 221s 2.78 59.44 9.28 25.41 6.70 221s 221s Robust Estimate of Covariance: 221s salaryP fatherWc sstatus teacherSc motherLev 221s salaryP 0.1582 -0.2826 0.4112 0.1754 0.0153 221s fatherWc -0.2826 902.9210 201.5815 -2.1236 18.8736 221s sstatus 0.4112 201.5815 65.4580 -0.3876 4.7794 221s teacherSc 0.1754 -2.1236 -0.3876 0.7233 -0.0322 221s motherLev 0.0153 18.8736 4.7794 -0.0322 0.5417 221s -------------------------------------------------------- 221s salinity 28 3 14 3.586919 221s Best subsample: 221s [1] 1 7 8 12 13 14 18 20 21 22 25 26 27 28 221s Outliers: 0 221s Too many to print ... 221s ------------- 221s 221s Call: 221s CovMrcd(x = x, trace = FALSE) 221s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=14) 221s 221s Robust Estimate of Location: 221s X1 X2 X3 221s 10.95 3.71 21.99 221s 221s Robust Estimate of Covariance: 221s X1 X2 X3 221s X1 14.153 0.718 -3.359 221s X2 0.718 3.565 -0.722 221s X3 -3.359 -0.722 1.607 221s -------------------------------------------------------- 221s wood 20 5 10 -33.100492 221s Best subsample: 221s [1] 1 2 3 5 11 14 15 17 18 20 221s Outliers: 0 221s Too many to print ... 221s ------------- 221s 221s Call: 221s CovMrcd(x = x, trace = FALSE) 221s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=10) 221s 221s Robust Estimate of Location: 221s x1 x2 x3 x4 x5 221s 0.572 0.120 0.504 0.545 0.899 221s 221s Robust Estimate of Covariance: 221s x1 x2 x3 x4 x5 221s x1 0.007543 0.001720 0.000412 -0.001230 -0.001222 221s x2 0.001720 0.000568 0.000355 -0.000533 -0.000132 221s x3 0.000412 0.000355 0.002478 0.000190 0.000811 221s x4 -0.001230 -0.000533 0.000190 0.002327 0.000967 221s x5 -0.001222 -0.000132 0.000811 0.000967 0.001894 221s -------------------------------------------------------- 221s hbk 75 3 38 1.539545 221s Best subsample: 221s [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 221s [26] 55 56 58 59 63 64 66 67 70 71 72 73 74 221s Outliers: 0 221s Too many to print ... 221s ------------- 221s 221s Call: 221s CovMrcd(x = x, trace = FALSE) 221s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=38) 221s 221s Robust Estimate of Location: 221s X1 X2 X3 221s 1.60 2.37 1.64 221s 221s Robust Estimate of Covariance: 221s X1 X2 X3 221s X1 2.810 0.124 1.248 221s X2 0.124 1.017 0.208 221s X3 1.248 0.208 2.218 221s -------------------------------------------------------- 221s Animals 28 2 14 16.278395 221s Best subsample: 221s [1] 1 3 4 5 10 11 18 19 20 21 22 23 26 27 221s Outliers: 0 221s Too many to print ... 221s ------------- 221s 221s Call: 221s CovMrcd(x = x, trace = FALSE) 221s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=14) 221s 221s Robust Estimate of Location: 221s body brain 221s 19.5 56.8 221s 221s Robust Estimate of Covariance: 221s body brain 221s body 2802 5179 221s brain 5179 13761 221s -------------------------------------------------------- 221s bushfire 38 5 19 28.483413 221s Best subsample: 221s [1] 1 2 3 4 5 14 15 16 17 18 19 20 21 22 23 24 25 26 27 221s Outliers: 0 221s Too many to print ... 221s ------------- 221s 221s Call: 221s CovMrcd(x = x, trace = FALSE) 221s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=19) 221s 221s Robust Estimate of Location: 221s V1 V2 V3 V4 V5 221s 103 145 287 221 281 221s 221s Robust Estimate of Covariance: 221s V1 V2 V3 V4 V5 221s V1 366 249 -1993 -503 -396 221s V2 249 252 -1223 -291 -233 221s V3 -1993 -1223 14246 3479 2718 221s V4 -503 -291 3479 1083 748 221s V5 -396 -233 2718 748 660 221s -------------------------------------------------------- 221s lactic 20 2 10 2.593141 221s Best subsample: 221s [1] 1 2 3 4 5 7 8 9 10 11 221s Outliers: 0 221s Too many to print ... 221s ------------- 221s 221s Call: 221s CovMrcd(x = x, trace = FALSE) 221s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=10) 221s 221s Robust Estimate of Location: 221s X Y 221s 2.60 3.63 221s 221s Robust Estimate of Covariance: 221s X Y 221s X 8.13 13.54 221s Y 13.54 24.17 221s -------------------------------------------------------- 221s pension 18 2 9 18.931204 221s Best subsample: 221s [1] 2 3 4 5 6 8 9 11 12 221s Outliers: 0 221s Too many to print ... 221s ------------- 221s 221s Call: 221s CovMrcd(x = x, trace = FALSE) 221s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=9) 221s 221s Robust Estimate of Location: 221s Income Reserves 221s 45.7 466.9 221s 221s Robust Estimate of Covariance: 221s Income Reserves 221s Income 2127 23960 221s Reserves 23960 348275 221s -------------------------------------------------------- 221s vaso 39 2 20 -1.864710 221s Best subsample: 221s [1] 3 4 8 14 18 20 21 22 23 24 25 26 27 28 33 34 35 37 38 39 221s Outliers: 0 221s Too many to print ... 221s ------------- 221s 221s Call: 221s CovMrcd(x = x, trace = FALSE) 221s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=20) 221s 221s Robust Estimate of Location: 221s Volume Rate 221s 1.14 1.77 221s 221s Robust Estimate of Covariance: 221s Volume Rate 221s Volume 0.44943 -0.00465 221s Rate -0.00465 0.34480 221s -------------------------------------------------------- 221s wagnerGrowth 63 6 32 9.287760 221s Best subsample: 221s [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 221s [26] 53 54 55 56 57 60 62 221s Outliers: 0 221s Too many to print ... 221s ------------- 221s 221s Call: 221s CovMrcd(x = x, trace = FALSE) 221s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=32) 221s 221s Robust Estimate of Location: 221s Region PA GPA HS GHS y 221s 10.719 33.816 -2.144 2.487 0.293 4.918 221s 221s Robust Estimate of Covariance: 221s Region PA GPA HS GHS y 221s Region 56.7128 17.4919 -2.9710 -0.6491 -0.4545 -10.4287 221s PA 17.4919 29.9968 -7.6846 -1.3141 0.5418 -35.6434 221s GPA -2.9710 -7.6846 6.3238 1.1257 -0.4757 12.4707 221s HS -0.6491 -1.3141 1.1257 1.1330 -0.0915 3.3617 221s GHS -0.4545 0.5418 -0.4757 -0.0915 0.1468 -1.1228 221s y -10.4287 -35.6434 12.4707 3.3617 -1.1228 67.4215 221s -------------------------------------------------------- 222s fish 159 6 79 22.142828 222s Best subsample: 222s [1] 2 3 4 5 6 7 8 9 10 11 12 14 15 16 17 18 19 20 21 222s [20] 22 23 24 25 26 27 35 36 37 42 43 44 45 46 47 48 49 50 51 222s [39] 52 53 54 55 56 57 58 59 60 71 105 106 107 109 110 111 113 114 115 222s [58] 116 117 118 119 120 122 123 124 125 126 127 128 129 130 131 132 134 135 136 222s [77] 137 138 139 222s Outliers: 0 222s Too many to print ... 222s ------------- 222s 222s Call: 222s CovMrcd(x = x, trace = FALSE) 222s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=79) 222s 222s Robust Estimate of Location: 222s Weight Length1 Length2 Length3 Height Width 222s 291.7 23.8 25.9 28.9 30.4 14.7 222s 222s Robust Estimate of Covariance: 222s Weight Length1 Length2 Length3 Height Width 222s Weight 77155.07 1567.55 1713.74 2213.16 1912.62 -103.97 222s Length1 1567.55 45.66 41.57 52.14 38.66 -2.39 222s Length2 1713.74 41.57 54.26 56.77 42.72 -2.55 222s Length3 2213.16 52.14 56.77 82.57 58.84 -3.65 222s Height 1912.62 38.66 42.72 58.84 70.51 -3.80 222s Width -103.97 -2.39 -2.55 -3.65 -3.80 1.19 222s -------------------------------------------------------- 222s pottery 27 6 14 -6.897459 222s Best subsample: 222s [1] 1 2 4 5 6 10 11 13 14 15 19 21 22 26 222s Outliers: 0 222s Too many to print ... 222s ------------- 222s 222s Call: 222s CovMrcd(x = x, trace = FALSE) 222s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=14) 222s 222s Robust Estimate of Location: 222s SI AL FE MG CA TI 222s 54.39 14.93 9.78 3.82 5.11 0.86 222s 222s Robust Estimate of Covariance: 222s SI AL FE MG CA TI 222s SI 17.47469 -0.16656 0.39943 4.48192 -0.71153 0.06515 222s AL -0.16656 3.93154 -0.35738 -2.29899 0.14770 -0.02050 222s FE 0.39943 -0.35738 0.20434 0.37562 -0.22460 0.00943 222s MG 4.48192 -2.29899 0.37562 2.82339 -0.16027 0.02943 222s CA -0.71153 0.14770 -0.22460 -0.16027 0.88443 -0.01711 222s TI 0.06515 -0.02050 0.00943 0.02943 -0.01711 0.00114 222s -------------------------------------------------------- 222s rice 105 6 53 -8.916472 222s Best subsample: 222s [1] 4 6 8 10 13 15 16 17 18 25 27 29 30 31 32 33 34 36 37 222s [20] 38 44 45 47 51 52 53 54 55 59 60 65 67 70 72 76 79 80 81 222s [39] 82 83 84 85 86 90 92 93 94 95 97 98 99 101 105 222s Outliers: 0 222s Too many to print ... 222s ------------- 222s 222s Call: 222s CovMrcd(x = x, trace = FALSE) 222s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=53) 222s 222s Robust Estimate of Location: 222s Favor Appearance Taste Stickiness 222s -0.1741 0.0774 -0.0472 0.1868 222s Toughness Overall_evaluation 222s -0.0346 -0.0683 222s 222s Robust Estimate of Covariance: 222s Favor Appearance Taste Stickiness Toughness 222s Favor 0.402 0.306 0.378 0.364 -0.134 222s Appearance 0.306 0.508 0.474 0.407 -0.146 222s Taste 0.378 0.474 0.708 0.611 -0.258 222s Stickiness 0.364 0.407 0.611 0.795 -0.320 222s Toughness -0.134 -0.146 -0.258 -0.320 0.302 222s Overall_evaluation 0.453 0.536 0.746 0.745 -0.327 222s Overall_evaluation 222s Favor 0.453 222s Appearance 0.536 222s Taste 0.746 222s Stickiness 0.745 222s Toughness -0.327 222s Overall_evaluation 0.963 222s -------------------------------------------------------- 222s un86 73 7 37 19.832993 222s Best subsample: 222s [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 222s [26] 56 57 60 62 63 64 65 67 70 71 72 73 222s Outliers: 0 222s Too many to print ... 222s ------------- 222s 222s Call: 222s CovMrcd(x = x, trace = FALSE) 222s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=37) 222s 222s Robust Estimate of Location: 222s POP MOR CAR DR GNP DEN TB 222s 14.462 66.892 6.670 0.858 1.251 55.518 0.429 222s 222s Robust Estimate of Covariance: 222s POP MOR CAR DR GNP DEN 222s POP 3.00e+02 1.58e+02 9.83e+00 2.74e+00 5.51e-01 6.87e+01 222s MOR 1.58e+02 2.96e+03 -4.24e+02 -4.72e+01 -5.40e+01 -1.01e+03 222s CAR 9.83e+00 -4.24e+02 9.12e+01 8.71e+00 1.13e+01 1.96e+02 222s DR 2.74e+00 -4.72e+01 8.71e+00 1.25e+00 1.03e+00 2.74e+01 222s GNP 5.51e-01 -5.40e+01 1.13e+01 1.03e+00 2.31e+00 2.36e+01 222s DEN 6.87e+01 -1.01e+03 1.96e+02 2.74e+01 2.36e+01 3.12e+03 222s TB 2.04e-02 -1.81e+00 3.42e-01 2.57e-02 2.09e-02 -6.88e-01 222s TB 222s POP 2.04e-02 222s MOR -1.81e+00 222s CAR 3.42e-01 222s DR 2.57e-02 222s GNP 2.09e-02 222s DEN -6.88e-01 222s TB 2.59e-02 222s -------------------------------------------------------- 222s wages 39 10 14 35.698016 222s Best subsample: 222s [1] 1 2 5 6 9 10 11 13 15 19 23 25 26 28 222s Outliers: 0 222s Too many to print ... 222s ------------- 222s 222s Call: 222s CovMrcd(x = x, trace = FALSE) 222s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=14) 222s 222s Robust Estimate of Location: 222s HRS RATE ERSP ERNO NEIN ASSET AGE DEP 222s 2167.71 2.96 1113.50 300.43 382.29 7438.00 39.06 2.41 222s RACE SCHOOL 222s 33.00 10.45 222s 222s Robust Estimate of Covariance: 222s HRS RATE ERSP ERNO NEIN ASSET 222s HRS 1.97e+03 -4.14e-01 -4.71e+03 -6.58e+02 1.81e+03 3.84e+04 222s RATE -4.14e-01 1.14e-01 1.79e+01 3.08e+00 1.40e+01 3.57e+02 222s ERSP -4.71e+03 1.79e+01 1.87e+04 2.33e+03 -2.06e+03 -3.57e+04 222s ERNO -6.58e+02 3.08e+00 2.33e+03 5.36e+02 -3.42e+02 -5.56e+03 222s NEIN 1.81e+03 1.40e+01 -2.06e+03 -3.42e+02 5.77e+03 1.10e+05 222s ASSET 3.84e+04 3.57e+02 -3.57e+04 -5.56e+03 1.10e+05 2.86e+06 222s AGE -1.83e+01 1.09e-02 6.69e+01 8.78e+00 -5.07e+00 -1.51e+02 222s DEP 4.82e+00 -3.14e-02 -2.52e+01 -2.96e+00 -5.33e+00 -1.03e+02 222s RACE -5.67e+02 -1.33e+00 1.21e+03 1.81e+02 -9.13e+02 -1.96e+04 222s SCHOOL 5.33e+00 1.87e-01 1.86e+01 3.12e+00 3.20e+01 7.89e+02 222s AGE DEP RACE SCHOOL 222s HRS -1.83e+01 4.82e+00 -5.67e+02 5.33e+00 222s RATE 1.09e-02 -3.14e-02 -1.33e+00 1.87e-01 222s ERSP 6.69e+01 -2.52e+01 1.21e+03 1.86e+01 222s ERNO 8.78e+00 -2.96e+00 1.81e+02 3.12e+00 222s NEIN -5.07e+00 -5.33e+00 -9.13e+02 3.20e+01 222s ASSET -1.51e+02 -1.03e+02 -1.96e+04 7.89e+02 222s AGE 5.71e-01 -1.56e-01 4.58e+00 -5.00e-02 222s DEP -1.56e-01 8.08e-02 -3.02e-01 -4.47e-02 222s RACE 4.58e+00 -3.02e-01 2.36e+02 -4.54e+00 222s SCHOOL -5.00e-02 -4.47e-02 -4.54e+00 4.23e-01 222s -------------------------------------------------------- 222s airquality 153 4 56 21.136376 222s Best subsample: 222s [1] 2 3 8 10 24 25 28 32 33 35 36 37 38 39 40 41 42 43 46 222s [20] 47 48 49 52 54 56 57 58 59 60 66 67 69 71 72 73 76 78 81 222s [39] 82 84 86 87 89 90 91 92 96 97 98 100 101 105 106 109 110 111 222s Outliers: 0 222s Too many to print ... 222s ------------- 222s 222s Call: 222s CovMrcd(x = x, trace = FALSE) 222s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=56) 222s 222s Robust Estimate of Location: 222s Ozone Solar.R Wind Temp 222s 41.84 197.21 8.93 80.39 222s 222s Robust Estimate of Covariance: 222s Ozone Solar.R Wind Temp 222s Ozone 1480.7 1562.8 -99.9 347.3 222s Solar.R 1562.8 11401.2 -35.2 276.8 222s Wind -99.9 -35.2 11.4 -23.5 222s Temp 347.3 276.8 -23.5 107.7 222s -------------------------------------------------------- 222s attitude 30 7 15 27.040805 222s Best subsample: 222s [1] 2 3 4 5 7 8 10 12 15 19 22 23 25 27 28 222s Outliers: 0 222s Too many to print ... 222s ------------- 222s 222s Call: 222s CovMrcd(x = x, trace = FALSE) 222s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=15) 222s 222s Robust Estimate of Location: 222s rating complaints privileges learning raises critical 222s 65.8 66.5 50.1 56.1 66.7 78.1 222s advance 222s 41.7 222s 222s Robust Estimate of Covariance: 222s rating complaints privileges learning raises critical advance 222s rating 138.77 80.02 59.22 107.33 95.83 -1.24 54.36 222s complaints 80.02 97.23 50.59 99.50 79.15 -2.71 42.81 222s privileges 59.22 50.59 84.92 90.03 60.88 22.39 44.93 222s learning 107.33 99.50 90.03 187.67 128.71 15.48 63.67 222s raises 95.83 79.15 60.88 128.71 123.94 -1.46 49.98 222s critical -1.24 -2.71 22.39 15.48 -1.46 61.23 12.88 222s advance 54.36 42.81 44.93 63.67 49.98 12.88 48.61 222s -------------------------------------------------------- 222s attenu 182 5 83 9.710111 222s Best subsample: 222s [1] 41 42 43 44 48 49 51 68 70 72 73 74 75 76 77 82 83 84 85 222s [20] 86 87 88 89 90 91 92 101 102 103 104 106 107 109 110 111 112 113 114 222s [39] 115 116 117 121 122 124 125 126 127 128 129 130 131 132 133 134 135 136 137 222s [58] 138 139 140 141 144 145 146 147 148 149 150 151 152 153 155 156 157 158 159 222s [77] 160 161 162 163 164 165 166 222s Outliers: 0 222s Too many to print ... 222s ------------- 222s 222s Call: 222s CovMrcd(x = x, trace = FALSE) 222s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=83) 222s 222s Robust Estimate of Location: 222s event mag station dist accel 222s 18.940 5.741 67.988 23.365 0.124 222s 222s Robust Estimate of Covariance: 222s event mag station dist accel 222s event 2.86e+01 -2.31e+00 1.02e+02 2.68e+01 -1.99e-01 222s mag -2.31e+00 6.17e-01 -7.03e+00 4.67e-01 2.59e-02 222s station 1.02e+02 -7.03e+00 1.66e+03 1.62e+02 7.96e-02 222s dist 2.68e+01 4.67e-01 1.62e+02 3.61e+02 -1.23e+00 222s accel -1.99e-01 2.59e-02 7.96e-02 -1.23e+00 9.42e-03 222s -------------------------------------------------------- 222s USJudgeRatings 43 12 22 -23.463708 222s Best subsample: 222s [1] 2 3 4 6 9 11 15 16 18 19 24 25 26 27 28 29 32 33 34 36 37 38 222s Outliers: 0 222s Too many to print ... 222s ------------- 222s 222s Call: 222s CovMrcd(x = x, trace = FALSE) 222s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=22) 222s 222s Robust Estimate of Location: 222s CONT INTG DMNR DILG CFMG DECI PREP FAMI ORAL WRIT PHYS RTEN 222s 7.24 8.42 8.10 8.19 7.95 8.00 7.96 7.96 7.81 7.89 8.40 8.20 222s 222s Robust Estimate of Covariance: 222s CONT INTG DMNR DILG CFMG DECI PREP 222s CONT 0.61805 -0.05601 -0.09540 0.00694 0.09853 0.06261 0.03939 222s INTG -0.05601 0.23560 0.27537 0.20758 0.16603 0.17281 0.21128 222s DMNR -0.09540 0.27537 0.55349 0.28872 0.24014 0.24293 0.28886 222s DILG 0.00694 0.20758 0.28872 0.34099 0.23502 0.23917 0.29672 222s CFMG 0.09853 0.16603 0.24014 0.23502 0.31649 0.23291 0.27651 222s DECI 0.06261 0.17281 0.24293 0.23917 0.23291 0.30681 0.27737 222s PREP 0.03939 0.21128 0.28886 0.29672 0.27651 0.27737 0.42020 222s FAMI 0.04588 0.20388 0.26072 0.29037 0.27179 0.27737 0.34857 222s ORAL 0.03000 0.21379 0.29606 0.28764 0.27338 0.27424 0.33503 222s WRIT 0.03261 0.20258 0.26931 0.27962 0.26382 0.26610 0.32677 222s PHYS -0.04485 0.13598 0.17659 0.16834 0.14554 0.16467 0.18948 222s RTEN 0.01543 0.22654 0.32117 0.27307 0.23826 0.24669 0.29450 222s FAMI ORAL WRIT PHYS RTEN 222s CONT 0.04588 0.03000 0.03261 -0.04485 0.01543 222s INTG 0.20388 0.21379 0.20258 0.13598 0.22654 222s DMNR 0.26072 0.29606 0.26931 0.17659 0.32117 222s DILG 0.29037 0.28764 0.27962 0.16834 0.27307 222s CFMG 0.27179 0.27338 0.26382 0.14554 0.23826 222s DECI 0.27737 0.27424 0.26610 0.16467 0.24669 222s PREP 0.34857 0.33503 0.32677 0.18948 0.29450 222s FAMI 0.47232 0.33762 0.33420 0.19759 0.29015 222s ORAL 0.33762 0.40361 0.32208 0.19794 0.29544 222s WRIT 0.33420 0.32208 0.38733 0.19276 0.28184 222s PHYS 0.19759 0.19794 0.19276 0.20284 0.18097 222s RTEN 0.29015 0.29544 0.28184 0.18097 0.36877 222s -------------------------------------------------------- 222s USArrests 50 4 25 17.834643 222s Best subsample: 222s [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 222s Outliers: 0 222s Too many to print ... 222s ------------- 222s 222s Call: 222s CovMrcd(x = x, trace = FALSE) 222s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=25) 222s 222s Robust Estimate of Location: 222s Murder Assault UrbanPop Rape 222s 5.38 121.68 63.80 16.33 222s 222s Robust Estimate of Covariance: 222s Murder Assault UrbanPop Rape 222s Murder 17.8 316.3 48.5 31.1 222s Assault 316.3 6863.0 1040.0 548.9 222s UrbanPop 48.5 1040.0 424.8 93.6 222s Rape 31.1 548.9 93.6 63.8 222s -------------------------------------------------------- 222s longley 16 7 8 31.147844 222s Best subsample: 222s [1] 5 6 7 9 10 11 13 14 222s Outliers: 0 222s Too many to print ... 222s ------------- 222s 222s Call: 222s CovMrcd(x = x, trace = FALSE) 222s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=8) 222s 222s Robust Estimate of Location: 222s GNP.deflator GNP Unemployed Armed.Forces Population 222s 104.3 410.8 278.8 300.1 118.2 222s Year Employed 222s 1955.4 66.5 222s 222s Robust Estimate of Covariance: 222s GNP.deflator GNP Unemployed Armed.Forces Population 222s GNP.deflator 85.0 652.3 784.4 -370.7 48.7 222s GNP 652.3 7502.9 7328.6 -3414.2 453.9 222s Unemployed 784.4 7328.6 10760.3 -4646.7 548.1 222s Armed.Forces -370.7 -3414.2 -4646.7 2824.3 -253.9 222s Population 48.7 453.9 548.1 -253.9 40.2 222s Year 33.5 312.7 378.8 -176.1 23.4 222s Employed 23.9 224.8 263.6 -128.3 16.8 222s Year Employed 222s GNP.deflator 33.5 23.9 222s GNP 312.7 224.8 222s Unemployed 378.8 263.6 222s Armed.Forces -176.1 -128.3 222s Population 23.4 16.8 222s Year 18.9 11.7 222s Employed 11.7 10.3 222s -------------------------------------------------------- 222s Loblolly 84 3 42 11.163448 222s Best subsample: 222s [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 222s [26] 53 54 57 58 59 63 64 65 66 70 71 76 77 81 82 83 84 222s Outliers: 0 222s Too many to print ... 222s ------------- 222s 222s Call: 222s CovMrcd(x = x, trace = FALSE) 222s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=42) 222s 222s Robust Estimate of Location: 222s height age Seed 222s 44.20 17.26 6.76 222s 222s Robust Estimate of Covariance: 222s height age Seed 222s height 326.74 139.18 3.50 222s age 139.18 68.48 -2.72 222s Seed 3.50 -2.72 25.43 222s -------------------------------------------------------- 222s quakes 1000 4 500 11.802478 222s Best subsample: 222s Too long... 222s Outliers: 0 222s Too many to print ... 222s ------------- 222s 222s Call: 222s CovMrcd(x = x, trace = FALSE) 222s -> Method: Minimum Regularized Covariance Determinant MRCD(alpha=0.5 ==> h=500) 222s 222s Robust Estimate of Location: 222s lat long depth mag 222s -20.59 182.13 432.46 4.42 222s 222s Robust Estimate of Covariance: 222s lat long depth mag 222s lat 15.841 5.702 -106.720 -0.441 222s long 5.702 7.426 -577.189 -0.136 222s depth -106.720 -577.189 66701.479 3.992 222s mag -0.441 -0.136 3.992 0.144 222s -------------------------------------------------------- 222s ======================================================== 222s > ##doexactfit() 222s > 222s BEGIN TEST tmest4.R 222s 222s R version 4.4.3 (2025-02-28) -- "Trophy Case" 222s Copyright (C) 2025 The R Foundation for Statistical Computing 222s Platform: x86_64-pc-linux-gnu 222s 222s R is free software and comes with ABSOLUTELY NO WARRANTY. 222s You are welcome to redistribute it under certain conditions. 222s Type 'license()' or 'licence()' for distribution details. 222s 222s R is a collaborative project with many contributors. 222s Type 'contributors()' for more information and 222s 'citation()' on how to cite R or R packages in publications. 222s 222s Type 'demo()' for some demos, 'help()' for on-line help, or 222s 'help.start()' for an HTML browser interface to help. 222s Type 'q()' to quit R. 222s 222s > ## VT::15.09.2013 - this will render the output independent 222s > ## from the version of the package 222s > suppressPackageStartupMessages(library(rrcov)) 222s > 222s > library(MASS) 222s > dodata <- function(nrep = 1, time = FALSE, full = TRUE) { 222s + domest <- function(x, xname, nrep = 1) { 222s + n <- dim(x)[1] 222s + p <- dim(x)[2] 222s + mm <- CovMest(x) 222s + crit <- log(mm@crit) 222s + ## c1 <- mm@psi@c1 222s + ## M <- mm$psi@M 222s + 222s + xres <- sprintf("%3d %3d %12.6f\n", dim(x)[1], dim(x)[2], crit) 222s + lpad <- lname-nchar(xname) 222s + cat(pad.right(xname,lpad), xres) 222s + 222s + dist <- getDistance(mm) 222s + quantiel <- qchisq(0.975, p) 222s + ibad <- which(dist >= quantiel) 222s + names(ibad) <- NULL 222s + nbad <- length(ibad) 222s + cat("Outliers: ",nbad,"\n") 222s + if(nbad > 0) 222s + print(ibad) 222s + cat("-------------\n") 222s + show(mm) 222s + cat("--------------------------------------------------------\n") 222s + } 222s + 222s + options(digits = 5) 222s + set.seed(101) # <<-- sub-sampling algorithm now based on R's RNG and seed 222s + 222s + lname <- 20 222s + 222s + data(heart) 222s + data(starsCYG) 222s + data(phosphor) 222s + data(stackloss) 222s + data(coleman) 222s + data(salinity) 222s + data(wood) 222s + data(hbk) 222s + 222s + data(Animals, package = "MASS") 222s + brain <- Animals[c(1:24, 26:25, 27:28),] 222s + data(milk) 222s + data(bushfire) 222s + 222s + tmp <- sys.call() 222s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 222s + 222s + cat("Data Set n p c1 M LOG(det) Time\n") 222s + cat("======================================================================\n") 222s + domest(heart[, 1:2], data(heart), nrep) 222s + domest(starsCYG, data(starsCYG), nrep) 222s + domest(data.matrix(subset(phosphor, select = -plant)), data(phosphor), nrep) 222s + domest(stack.x, data(stackloss), nrep) 222s + domest(data.matrix(subset(coleman, select = -Y)), data(coleman), nrep) 222s + domest(data.matrix(subset(salinity, select = -Y)), data(salinity), nrep) 222s + domest(data.matrix(subset(wood, select = -y)), data(wood), nrep) 222s + domest(data.matrix(subset(hbk, select = -Y)), data(hbk), nrep) 222s + 222s + 222s + domest(brain, "Animals", nrep) 222s + domest(milk, data(milk), nrep) 222s + domest(bushfire, data(bushfire), nrep) 222s + cat("======================================================================\n") 222s + } 222s > 222s > # generate contaminated data using the function gendata with different 222s > # number of outliers and check if the M-estimate breaks - i.e. the 222s > # largest eigenvalue is larger than e.g. 5. 222s > # For n=50 and p=10 and d=5 the M-estimate can break for number of 222s > # outliers grater than 20. 222s > dogen <- function(){ 222s + eig <- vector("numeric",26) 222s + for(i in 0:25) { 222s + gg <- gendata(eps=i) 222s + mm <- CovMest(gg$x, t0=gg$tgood, S0=gg$sgood, arp=0.001) 222s + eig[i+1] <- ev <- getEvals(mm)[1] 222s + # cat(i, ev, "\n") 222s + 222s + stopifnot(ev < 5 || i > 20) 222s + } 222s + # plot(0:25, eig, type="l", xlab="Number of outliers", ylab="Largest Eigenvalue") 222s + } 222s > 222s > # 222s > # generate data 50x10 as multivariate normal N(0,I) and add 222s > # eps % outliers by adding d=5.0 to each component. 222s > # - if eps <0 and eps <=0.5, the number of outliers is eps*n 222s > # - if eps >= 1, it is the number of outliers 222s > # - use the center and cov of the good data as good start 222s > # - use the center and the cov of all data as a bad start 223s > # If using a good start, the M-estimate must iterate to 223s > # the good solution: the largest eigenvalue is less then e.g. 5 223s > # 223s > gendata <- function(n=50, p=10, eps=0, d=5.0){ 223s + 223s + if(eps < 0 || eps > 0.5 && eps < 1.0 || eps > 0.5*n) 223s + stop("eps is out of range") 223s + 223s + library(MASS) 223s + 223s + x <- mvrnorm(n, rep(0,p), diag(p)) 223s + bad <- vector("numeric") 223s + nbad = if(eps < 1) eps*n else eps 223s + if(nbad > 0){ 223s + bad <- sample(n, nbad) 223s + x[bad,] <- x[bad,] + d 223s + } 223s + cov1 <- cov.wt(x) 223s + cov2 <- if(nbad <= 0) cov1 else cov.wt(x[-bad,]) 223s + 223s + list(x=x, bad=sort(bad), tgood=cov2$center, sgood=cov2$cov, tbad=cov1$center, sbad=cov1$cov) 223s + } 223s > 223s > pad.right <- function(z, pads) 223s + { 223s + ## Pads spaces to right of text 223s + padding <- paste(rep(" ", pads), collapse = "") 223s + paste(z, padding, sep = "") 223s + } 223s > 223s > 223s > ## -- now do it: 223s > dodata() 223s 223s Call: dodata() 223s Data Set n p c1 M LOG(det) Time 223s ====================================================================== 223s heart 12 2 7.160341 223s Outliers: 3 223s [1] 2 6 12 223s ------------- 223s 223s Call: 223s CovMest(x = x) 223s -> Method: M-Estimates 223s 223s Robust Estimate of Location: 223s height weight 223s 34.9 27.0 223s 223s Robust Estimate of Covariance: 223s height weight 223s height 102 155 223s weight 155 250 223s -------------------------------------------------------- 223s starsCYG 47 2 -5.994588 223s Outliers: 7 223s [1] 7 9 11 14 20 30 34 223s ------------- 223s 223s Call: 223s CovMest(x = x) 223s -> Method: M-Estimates 223s 223s Robust Estimate of Location: 223s log.Te log.light 223s 4.42 4.95 223s 223s Robust Estimate of Covariance: 223s log.Te log.light 223s log.Te 0.0169 0.0587 223s log.light 0.0587 0.3523 223s -------------------------------------------------------- 223s phosphor 18 2 8.867522 223s Outliers: 3 223s [1] 1 6 10 223s ------------- 223s 223s Call: 223s CovMest(x = x) 223s -> Method: M-Estimates 223s 223s Robust Estimate of Location: 223s inorg organic 223s 15.4 39.1 223s 223s Robust Estimate of Covariance: 223s inorg organic 223s inorg 169 213 223s organic 213 308 223s -------------------------------------------------------- 223s stackloss 21 3 7.241400 223s Outliers: 9 223s [1] 1 2 3 15 16 17 18 19 21 223s ------------- 223s 223s Call: 223s CovMest(x = x) 223s -> Method: M-Estimates 223s 223s Robust Estimate of Location: 223s Air.Flow Water.Temp Acid.Conc. 223s 59.5 20.8 87.3 223s 223s Robust Estimate of Covariance: 223s Air.Flow Water.Temp Acid.Conc. 223s Air.Flow 9.34 8.69 8.52 223s Water.Temp 8.69 13.72 9.13 223s Acid.Conc. 8.52 9.13 34.54 223s -------------------------------------------------------- 223s coleman 20 5 2.574752 223s Outliers: 7 223s [1] 2 6 9 10 12 13 15 223s ------------- 223s 223s Call: 223s CovMest(x = x) 223s -> Method: M-Estimates 223s 223s Robust Estimate of Location: 223s salaryP fatherWc sstatus teacherSc motherLev 223s 2.82 48.44 5.30 25.19 6.51 223s 223s Robust Estimate of Covariance: 223s salaryP fatherWc sstatus teacherSc motherLev 223s salaryP 0.2850 0.1045 1.7585 0.3074 0.0355 223s fatherWc 0.1045 824.8305 260.7062 3.7507 17.7959 223s sstatus 1.7585 260.7062 105.6135 4.1140 5.7714 223s teacherSc 0.3074 3.7507 4.1140 0.6753 0.1563 223s motherLev 0.0355 17.7959 5.7714 0.1563 0.4147 223s -------------------------------------------------------- 223s salinity 28 3 3.875096 223s Outliers: 9 223s [1] 3 5 10 11 15 16 17 23 24 223s ------------- 223s 223s Call: 223s CovMest(x = x) 223s -> Method: M-Estimates 223s 223s Robust Estimate of Location: 223s X1 X2 X3 223s 10.02 3.21 22.36 223s 223s Robust Estimate of Covariance: 223s X1 X2 X3 223s X1 15.353 1.990 -5.075 223s X2 1.990 5.210 -0.769 223s X3 -5.075 -0.769 2.314 223s -------------------------------------------------------- 223s wood 20 5 -35.156305 223s Outliers: 7 223s [1] 4 6 7 8 11 16 19 223s ------------- 223s 223s Call: 223s CovMest(x = x) 223s -> Method: M-Estimates 223s 223s Robust Estimate of Location: 223s x1 x2 x3 x4 x5 223s 0.587 0.122 0.531 0.538 0.892 223s 223s Robust Estimate of Covariance: 223s x1 x2 x3 x4 x5 223s x1 6.45e-03 1.21e-03 2.03e-03 -3.77e-04 -1.05e-03 223s x2 1.21e-03 3.12e-04 8.16e-04 -3.34e-05 1.52e-05 223s x3 2.03e-03 8.16e-04 4.27e-03 -5.60e-04 2.27e-04 223s x4 -3.77e-04 -3.34e-05 -5.60e-04 1.83e-03 1.18e-03 223s x5 -1.05e-03 1.52e-05 2.27e-04 1.18e-03 1.78e-03 223s -------------------------------------------------------- 223s hbk 75 3 1.432485 223s Outliers: 14 223s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 223s ------------- 223s 223s Call: 223s CovMest(x = x) 223s -> Method: M-Estimates 223s 223s Robust Estimate of Location: 223s X1 X2 X3 223s 1.54 1.78 1.69 223s 223s Robust Estimate of Covariance: 223s X1 X2 X3 223s X1 1.6485 0.0739 0.1709 223s X2 0.0739 1.6780 0.2049 223s X3 0.1709 0.2049 1.5584 223s -------------------------------------------------------- 223s Animals 28 2 18.194822 223s Outliers: 10 223s [1] 2 6 7 9 12 14 15 16 25 28 223s ------------- 223s 223s Call: 223s CovMest(x = x) 223s -> Method: M-Estimates 223s 223s Robust Estimate of Location: 223s body brain 223s 18.7 64.9 223s 223s Robust Estimate of Covariance: 223s body brain 223s body 4993 8466 223s brain 8466 30335 223s -------------------------------------------------------- 223s milk 86 8 -25.041802 223s Outliers: 20 223s [1] 1 2 3 11 12 13 14 15 16 17 18 20 27 41 44 47 70 74 75 77 223s ------------- 223s 223s Call: 223s CovMest(x = x) 223s -> Method: M-Estimates 223s 223s Robust Estimate of Location: 223s X1 X2 X3 X4 X5 X6 X7 X8 223s 1.03 35.88 33.04 26.11 25.09 25.02 123.12 14.39 223s 223s Robust Estimate of Covariance: 223s X1 X2 X3 X4 X5 X6 X7 223s X1 4.89e-07 9.64e-05 1.83e-04 1.76e-04 1.57e-04 1.48e-04 6.53e-04 223s X2 9.64e-05 2.05e+00 3.38e-01 2.37e-01 1.70e-01 2.71e-01 1.91e+00 223s X3 1.83e-04 3.38e-01 1.16e+00 8.56e-01 8.48e-01 8.31e-01 8.85e-01 223s X4 1.76e-04 2.37e-01 8.56e-01 6.83e-01 6.55e-01 6.40e-01 6.91e-01 223s X5 1.57e-04 1.70e-01 8.48e-01 6.55e-01 6.93e-01 6.52e-01 6.90e-01 223s X6 1.48e-04 2.71e-01 8.31e-01 6.40e-01 6.52e-01 6.61e-01 6.95e-01 223s X7 6.53e-04 1.91e+00 8.85e-01 6.91e-01 6.90e-01 6.95e-01 4.40e+00 223s X8 5.56e-06 2.60e-01 1.98e-01 1.29e-01 1.12e-01 1.19e-01 4.12e-01 223s X8 223s X1 5.56e-06 223s X2 2.60e-01 223s X3 1.98e-01 223s X4 1.29e-01 223s X5 1.12e-01 223s X6 1.19e-01 223s X7 4.12e-01 223s X8 1.65e-01 223s -------------------------------------------------------- 223s bushfire 38 5 23.457490 223s Outliers: 15 223s [1] 7 8 9 10 11 29 30 31 32 33 34 35 36 37 38 223s ------------- 223s 223s Call: 223s CovMest(x = x) 223s -> Method: M-Estimates 223s 223s Robust Estimate of Location: 223s V1 V2 V3 V4 V5 223s 107 147 263 215 277 223s 223s Robust Estimate of Covariance: 223s V1 V2 V3 V4 V5 223s V1 775 560 -4179 -925 -759 223s V2 560 478 -2494 -510 -431 223s V3 -4179 -2494 27433 6441 5196 223s V4 -925 -510 6441 1607 1276 223s V5 -759 -431 5196 1276 1020 223s -------------------------------------------------------- 223s ====================================================================== 223s > dogen() 223s > #cat('Time elapsed: ', proc.time(),'\n') # for ``statistical reasons'' 223s > 223s BEGIN TEST tmve4.R 223s 223s R version 4.4.3 (2025-02-28) -- "Trophy Case" 223s Copyright (C) 2025 The R Foundation for Statistical Computing 223s Platform: x86_64-pc-linux-gnu 223s 223s R is free software and comes with ABSOLUTELY NO WARRANTY. 223s You are welcome to redistribute it under certain conditions. 223s Type 'license()' or 'licence()' for distribution details. 223s 223s R is a collaborative project with many contributors. 223s Type 'contributors()' for more information and 223s 'citation()' on how to cite R or R packages in publications. 223s 223s Type 'demo()' for some demos, 'help()' for on-line help, or 223s 'help.start()' for an HTML browser interface to help. 223s Type 'q()' to quit R. 223s 223s > dodata <- function(nrep=1, time=FALSE, short=FALSE, full=TRUE, method = c("FASTMVE","MASS")){ 223s + ##@bdescr 223s + ## Test the function covMve() on the literature datasets: 223s + ## 223s + ## Call covMve() for all regression datasets available in rrco/robustbasev and print: 223s + ## - execution time (if time == TRUE) 223s + ## - objective fucntion 223s + ## - best subsample found (if short == false) 223s + ## - outliers identified (with cutoff 0.975) (if short == false) 223s + ## - estimated center and covarinance matrix if full == TRUE) 223s + ## 223s + ##@edescr 223s + ## 223s + ##@in nrep : [integer] number of repetitions to use for estimating the 223s + ## (average) execution time 223s + ##@in time : [boolean] whether to evaluate the execution time 223s + ##@in short : [boolean] whether to do short output (i.e. only the 223s + ## objective function value). If short == FALSE, 223s + ## the best subsample and the identified outliers are 223s + ## printed. See also the parameter full below 223s + ##@in full : [boolean] whether to print the estimated cente and covariance matrix 223s + ##@in method : [character] select a method: one of (FASTMCD, MASS) 223s + 223s + domve <- function(x, xname, nrep=1){ 223s + n <- dim(x)[1] 223s + p <- dim(x)[2] 223s + alpha <- 0.5 223s + h <- h.alpha.n(alpha, n, p) 223s + if(method == "MASS"){ 223s + mve <- cov.mve(x, quantile.used=h) 223s + quan <- h #default: floor((n+p+1)/2) 223s + crit <- mve$crit 223s + best <- mve$best 223s + mah <- mahalanobis(x, mve$center, mve$cov) 223s + quantiel <- qchisq(0.975, p) 223s + wt <- as.numeric(mah < quantiel) 223s + } 223s + else{ 223s + mve <- CovMve(x, trace=FALSE) 223s + quan <- as.integer(mve@quan) 223s + crit <- log(mve@crit) 223s + best <- mve@best 223s + wt <- mve@wt 223s + } 223s + 223s + 223s + if(time){ 223s + xtime <- system.time(dorep(x, nrep, method))[1]/nrep 223s + xres <- sprintf("%3d %3d %3d %12.6f %10.3f\n", dim(x)[1], dim(x)[2], quan, crit, xtime) 223s + } 223s + else{ 223s + xres <- sprintf("%3d %3d %3d %12.6f\n", dim(x)[1], dim(x)[2], quan, crit) 223s + } 223s + 223s + lpad<-lname-nchar(xname) 223s + cat(pad.right(xname,lpad), xres) 223s + 223s + if(!short){ 223s + cat("Best subsample: \n") 223s + print(best) 223s + 223s + ibad <- which(wt == 0) 223s + names(ibad) <- NULL 223s + nbad <- length(ibad) 223s + cat("Outliers: ", nbad, "\n") 223s + if(nbad > 0) 223s + print(ibad) 223s + if(full){ 223s + cat("-------------\n") 223s + show(mve) 223s + } 223s + cat("--------------------------------------------------------\n") 223s + } 223s + } 223s + 223s + options(digits = 5) 223s + set.seed(101) # <<-- sub-sampling algorithm now based on R's RNG and seed 223s + 223s + lname <- 20 223s + 223s + ## VT::15.09.2013 - this will render the output independent 223s + ## from the version of the package 223s + suppressPackageStartupMessages(library(rrcov)) 223s + 223s + method <- match.arg(method) 223s + if(method == "MASS") 223s + library(MASS) 223s + 223s + 223s + data(heart) 223s + data(starsCYG) 223s + data(phosphor) 223s + data(stackloss) 223s + data(coleman) 223s + data(salinity) 223s + data(wood) 223s + 223s + data(hbk) 223s + 223s + data(Animals, package = "MASS") 223s + brain <- Animals[c(1:24, 26:25, 27:28),] 223s + data(milk) 223s + data(bushfire) 223s + 223s + tmp <- sys.call() 223s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 223s + 223s + cat("Data Set n p Half LOG(obj) Time\n") 223s + cat("========================================================\n") 223s + domve(heart[, 1:2], data(heart), nrep) 223s + domve(starsCYG, data(starsCYG), nrep) 223s + domve(data.matrix(subset(phosphor, select = -plant)), data(phosphor), nrep) 223s + domve(stack.x, data(stackloss), nrep) 223s + domve(data.matrix(subset(coleman, select = -Y)), data(coleman), nrep) 223s + domve(data.matrix(subset(salinity, select = -Y)), data(salinity), nrep) 223s + domve(data.matrix(subset(wood, select = -y)), data(wood), nrep) 223s + domve(data.matrix(subset(hbk, select = -Y)),data(hbk), nrep) 223s + 223s + domve(brain, "Animals", nrep) 223s + domve(milk, data(milk), nrep) 223s + domve(bushfire, data(bushfire), nrep) 223s + cat("========================================================\n") 223s + } 223s > 223s > dogen <- function(nrep=1, eps=0.49, method=c("FASTMVE", "MASS")){ 223s + 223s + domve <- function(x, nrep=1){ 223s + gc() 223s + xtime <- system.time(dorep(x, nrep, method))[1]/nrep 223s + cat(sprintf("%6d %3d %10.2f\n", dim(x)[1], dim(x)[2], xtime)) 223s + xtime 223s + } 223s + 223s + set.seed(1234) 223s + 223s + ## VT::15.09.2013 - this will render the output independent 223s + ## from the version of the package 223s + suppressPackageStartupMessages(library(rrcov)) 223s + library(MASS) 223s + 223s + method <- match.arg(method) 223s + 223s + ap <- c(2, 5, 10, 20, 30) 223s + an <- c(100, 500, 1000, 10000, 50000) 223s + 223s + tottime <- 0 223s + cat(" n p Time\n") 223s + cat("=====================\n") 223s + for(i in 1:length(an)) { 223s + for(j in 1:length(ap)) { 223s + n <- an[i] 223s + p <- ap[j] 223s + if(5*p <= n){ 223s + xx <- gendata(n, p, eps) 223s + X <- xx$X 223s + tottime <- tottime + domve(X, nrep) 223s + } 223s + } 223s + } 223s + 223s + cat("=====================\n") 223s + cat("Total time: ", tottime*nrep, "\n") 223s + } 223s > 223s > docheck <- function(n, p, eps){ 223s + xx <- gendata(n,p,eps) 223s + mve <- CovMve(xx$X) 223s + check(mve, xx$xind) 223s + } 223s > 223s > check <- function(mcd, xind){ 223s + ## check if mcd is robust w.r.t xind, i.e. check how many of xind 223s + ## did not get zero weight 223s + mymatch <- xind %in% which(mcd@wt == 0) 223s + length(xind) - length(which(mymatch)) 223s + } 223s > 223s > dorep <- function(x, nrep=1, method=c("FASTMVE","MASS")){ 223s + 223s + method <- match.arg(method) 223s + for(i in 1:nrep) 223s + if(method == "MASS") 223s + cov.mve(x) 223s + else 223s + CovMve(x) 223s + } 223s > 223s > #### gendata() #### 223s > # Generates a location contaminated multivariate 223s > # normal sample of n observations in p dimensions 223s > # (1-eps)*Np(0,Ip) + eps*Np(m,Ip) 223s > # where 223s > # m = (b,b,...,b) 223s > # Defaults: eps=0 and b=10 223s > # 223s > gendata <- function(n,p,eps=0,b=10){ 223s + 223s + if(missing(n) || missing(p)) 223s + stop("Please specify (n,p)") 223s + if(eps < 0 || eps >= 0.5) 223s + stop(message="eps must be in [0,0.5)") 223s + X <- mvrnorm(n,rep(0,p),diag(1,nrow=p,ncol=p)) 223s + nbad <- as.integer(eps * n) 223s + if(nbad > 0){ 223s + Xbad <- mvrnorm(nbad,rep(b,p),diag(1,nrow=p,ncol=p)) 223s + xind <- sample(n,nbad) 223s + X[xind,] <- Xbad 223s + } 223s + list(X=X, xind=xind) 223s + } 223s > 223s > pad.right <- function(z, pads) 223s + { 223s + ### Pads spaces to right of text 223s + padding <- paste(rep(" ", pads), collapse = "") 223s + paste(z, padding, sep = "") 223s + } 223s > 223s > whatis<-function(x){ 223s + if(is.data.frame(x)) 223s + cat("Type: data.frame\n") 223s + else if(is.matrix(x)) 223s + cat("Type: matrix\n") 223s + else if(is.vector(x)) 223s + cat("Type: vector\n") 223s + else 223s + cat("Type: don't know\n") 223s + } 223s > 223s > ## VT::15.09.2013 - this will render the output independent 223s > ## from the version of the package 223s > suppressPackageStartupMessages(library(rrcov)) 223s > 223s > dodata() 223s 223s Call: dodata() 223s Data Set n p Half LOG(obj) Time 223s ======================================================== 223s heart 12 2 7 3.827606 223s Best subsample: 223s [1] 1 4 7 8 9 10 11 223s Outliers: 3 223s [1] 2 6 12 223s ------------- 223s 223s Call: 223s CovMve(x = x, trace = FALSE) 223s -> Method: Minimum volume ellipsoid estimator 223s 223s Robust Estimate of Location: 223s height weight 223s 34.9 27.0 223s 223s Robust Estimate of Covariance: 223s height weight 223s height 142 217 223s weight 217 350 223s -------------------------------------------------------- 223s starsCYG 47 2 25 -2.742997 223s Best subsample: 223s [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 223s Outliers: 7 223s [1] 7 9 11 14 20 30 34 223s ------------- 223s 223s Call: 223s CovMve(x = x, trace = FALSE) 223s -> Method: Minimum volume ellipsoid estimator 223s 223s Robust Estimate of Location: 223s log.Te log.light 223s 4.41 4.93 223s 223s Robust Estimate of Covariance: 223s log.Te log.light 223s log.Te 0.0173 0.0578 223s log.light 0.0578 0.3615 223s -------------------------------------------------------- 223s phosphor 18 2 10 4.443101 223s Best subsample: 223s [1] 3 5 8 9 11 12 13 14 15 17 223s Outliers: 3 223s [1] 1 6 10 223s ------------- 223s 223s Call: 223s CovMve(x = x, trace = FALSE) 223s -> Method: Minimum volume ellipsoid estimator 223s 223s Robust Estimate of Location: 223s inorg organic 223s 15.2 39.4 223s 223s Robust Estimate of Covariance: 223s inorg organic 223s inorg 188 230 223s organic 230 339 223s -------------------------------------------------------- 223s stackloss 21 3 12 3.327582 223s Best subsample: 223s [1] 4 5 6 7 8 9 10 11 12 13 14 20 223s Outliers: 3 223s [1] 1 2 3 223s ------------- 223s 223s Call: 223s CovMve(x = x, trace = FALSE) 223s -> Method: Minimum volume ellipsoid estimator 223s 223s Robust Estimate of Location: 223s Air.Flow Water.Temp Acid.Conc. 223s 56.7 20.2 85.5 223s 223s Robust Estimate of Covariance: 223s Air.Flow Water.Temp Acid.Conc. 223s Air.Flow 34.31 11.07 23.54 223s Water.Temp 11.07 9.23 7.85 223s Acid.Conc. 23.54 7.85 47.35 223s -------------------------------------------------------- 223s coleman 20 5 13 2.065143 223s Best subsample: 223s [1] 1 3 4 5 7 8 11 14 16 17 18 19 20 223s Outliers: 5 223s [1] 2 6 9 10 13 223s ------------- 223s 223s Call: 223s CovMve(x = x, trace = FALSE) 223s -> Method: Minimum volume ellipsoid estimator 223s 223s Robust Estimate of Location: 223s salaryP fatherWc sstatus teacherSc motherLev 223s 2.79 44.26 3.59 25.08 6.38 223s 223s Robust Estimate of Covariance: 223s salaryP fatherWc sstatus teacherSc motherLev 223s salaryP 0.2920 1.1188 2.0421 0.3487 0.0748 223s fatherWc 1.1188 996.7540 338.6587 7.1673 23.1783 223s sstatus 2.0421 338.6587 148.2501 4.4894 7.8135 223s teacherSc 0.3487 7.1673 4.4894 0.9082 0.3204 223s motherLev 0.0748 23.1783 7.8135 0.3204 0.6024 223s -------------------------------------------------------- 223s salinity 28 3 16 2.002555 223s Best subsample: 223s [1] 1 7 8 9 12 13 14 18 19 20 21 22 25 26 27 28 223s Outliers: 5 223s [1] 5 11 16 23 24 223s ------------- 223s 223s Call: 223s CovMve(x = x, trace = FALSE) 223s -> Method: Minimum volume ellipsoid estimator 223s 223s Robust Estimate of Location: 223s X1 X2 X3 223s 10.2 3.1 22.4 223s 223s Robust Estimate of Covariance: 223s X1 X2 X3 223s X1 14.387 1.153 -4.072 223s X2 1.153 5.005 -0.954 223s X3 -4.072 -0.954 2.222 223s -------------------------------------------------------- 223s wood 20 5 13 -5.471407 223s Best subsample: 223s [1] 1 2 3 5 9 10 12 13 14 15 17 18 20 223s Outliers: 5 223s [1] 4 6 8 11 19 223s ------------- 223s 223s Call: 223s CovMve(x = x, trace = FALSE) 223s -> Method: Minimum volume ellipsoid estimator 223s 223s Robust Estimate of Location: 223s x1 x2 x3 x4 x5 223s 0.576 0.123 0.531 0.538 0.889 223s 223s Robust Estimate of Covariance: 223s x1 x2 x3 x4 x5 223s x1 7.45e-03 1.11e-03 1.83e-03 -2.90e-05 -5.65e-04 223s x2 1.11e-03 3.11e-04 7.68e-04 3.37e-05 3.85e-05 223s x3 1.83e-03 7.68e-04 4.30e-03 -9.96e-04 -6.27e-05 223s x4 -2.90e-05 3.37e-05 -9.96e-04 3.02e-03 1.91e-03 223s x5 -5.65e-04 3.85e-05 -6.27e-05 1.91e-03 2.25e-03 223s -------------------------------------------------------- 224s hbk 75 3 39 1.096831 224s Best subsample: 224s [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 224s [26] 55 56 58 59 64 65 66 67 70 71 72 73 74 75 224s Outliers: 14 224s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 224s ------------- 224s 224s Call: 224s CovMve(x = x, trace = FALSE) 224s -> Method: Minimum volume ellipsoid estimator 224s 224s Robust Estimate of Location: 224s X1 X2 X3 224s 1.48 1.86 1.73 224s 224s Robust Estimate of Covariance: 224s X1 X2 X3 224s X1 1.695 0.230 0.265 224s X2 0.230 1.679 0.119 224s X3 0.265 0.119 1.683 224s -------------------------------------------------------- 224s Animals 28 2 15 8.945423 224s Best subsample: 224s [1] 1 3 4 5 10 11 17 18 21 22 23 24 26 27 28 224s Outliers: 9 224s [1] 2 6 7 9 12 14 15 16 25 224s ------------- 224s 224s Call: 224s CovMve(x = x, trace = FALSE) 224s -> Method: Minimum volume ellipsoid estimator 224s 224s Robust Estimate of Location: 224s body brain 224s 48.3 127.3 224s 224s Robust Estimate of Covariance: 224s body brain 224s body 10767 16872 224s brain 16872 46918 224s -------------------------------------------------------- 224s milk 86 8 47 -1.160085 224s Best subsample: 224s [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 224s [26] 46 54 56 57 59 60 61 62 63 64 65 66 67 69 72 76 78 79 81 82 83 85 224s Outliers: 18 224s [1] 1 2 3 12 13 14 15 16 17 18 20 27 41 44 47 70 74 75 224s ------------- 224s 224s Call: 224s CovMve(x = x, trace = FALSE) 224s -> Method: Minimum volume ellipsoid estimator 224s 224s Robust Estimate of Location: 224s X1 X2 X3 X4 X5 X6 X7 X8 224s 1.03 35.91 33.02 26.08 25.06 24.99 122.93 14.38 224s 224s Robust Estimate of Covariance: 224s X1 X2 X3 X4 X5 X6 X7 224s X1 6.00e-07 1.51e-04 3.34e-04 3.09e-04 2.82e-04 2.77e-04 1.09e-03 224s X2 1.51e-04 2.03e+00 3.83e-01 3.04e-01 2.20e-01 3.51e-01 2.18e+00 224s X3 3.34e-04 3.83e-01 1.58e+00 1.21e+00 1.18e+00 1.20e+00 1.60e+00 224s X4 3.09e-04 3.04e-01 1.21e+00 9.82e-01 9.39e-01 9.53e-01 1.36e+00 224s X5 2.82e-04 2.20e-01 1.18e+00 9.39e-01 9.67e-01 9.52e-01 1.34e+00 224s X6 2.77e-04 3.51e-01 1.20e+00 9.53e-01 9.52e-01 9.92e-01 1.38e+00 224s X7 1.09e-03 2.18e+00 1.60e+00 1.36e+00 1.34e+00 1.38e+00 6.73e+00 224s X8 3.33e-05 2.92e-01 2.65e-01 1.83e-01 1.65e-01 1.76e-01 5.64e-01 224s X8 224s X1 3.33e-05 224s X2 2.92e-01 224s X3 2.65e-01 224s X4 1.83e-01 224s X5 1.65e-01 224s X6 1.76e-01 224s X7 5.64e-01 224s X8 1.80e-01 224s -------------------------------------------------------- 224s bushfire 38 5 22 5.644315 224s Best subsample: 224s [1] 1 2 3 4 5 6 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 224s Outliers: 15 224s [1] 7 8 9 10 11 29 30 31 32 33 34 35 36 37 38 224s ------------- 224s 224s Call: 224s CovMve(x = x, trace = FALSE) 224s -> Method: Minimum volume ellipsoid estimator 224s 224s Robust Estimate of Location: 224s V1 V2 V3 V4 V5 224s 107 147 263 215 277 224s 224s Robust Estimate of Covariance: 224s V1 V2 V3 V4 V5 224s V1 519 375 -2799 -619 -509 224s V2 375 320 -1671 -342 -289 224s V3 -2799 -1671 18373 4314 3480 224s V4 -619 -342 4314 1076 854 224s V5 -509 -289 3480 854 683 224s -------------------------------------------------------- 224s ======================================================== 224s > 224s BEGIN TEST togk4.R 224s 224s R version 4.4.3 (2025-02-28) -- "Trophy Case" 224s Copyright (C) 2025 The R Foundation for Statistical Computing 224s Platform: x86_64-pc-linux-gnu 224s 224s R is free software and comes with ABSOLUTELY NO WARRANTY. 224s You are welcome to redistribute it under certain conditions. 224s Type 'license()' or 'licence()' for distribution details. 224s 224s R is a collaborative project with many contributors. 224s Type 'contributors()' for more information and 224s 'citation()' on how to cite R or R packages in publications. 224s 224s Type 'demo()' for some demos, 'help()' for on-line help, or 224s 'help.start()' for an HTML browser interface to help. 224s Type 'q()' to quit R. 224s 224s > ## VT::15.09.2013 - this will render the output independent 224s > ## from the version of the package 224s > suppressPackageStartupMessages(library(rrcov)) 224s > 224s > ## VT::14.01.2020 224s > ## On some platforms minor differences are shown - use 224s > ## IGNORE_RDIFF_BEGIN 224s > ## IGNORE_RDIFF_END 224s > 224s > dodata <- function(nrep=1, time=FALSE, short=FALSE, full=TRUE, method = c("FASTMCD","MASS")){ 224s + domcd <- function(x, xname, nrep=1){ 224s + n <- dim(x)[1] 224s + p <- dim(x)[2] 224s + 224s + mcd<-CovOgk(x) 224s + 224s + xres <- sprintf("%3d %3d\n", dim(x)[1], dim(x)[2]) 224s + 224s + lpad<-lname-nchar(xname) 224s + cat(pad.right(xname,lpad), xres) 224s + 224s + dist <- getDistance(mcd) 224s + quantiel <- qchisq(0.975, p) 224s + ibad <- which(dist >= quantiel) 224s + names(ibad) <- NULL 224s + nbad <- length(ibad) 224s + cat("Outliers: ",nbad,"\n") 224s + if(nbad > 0) 224s + print(ibad) 224s + cat("-------------\n") 224s + show(mcd) 224s + cat("--------------------------------------------------------\n") 224s + } 224s + 224s + lname <- 20 224s + 224s + ## VT::15.09.2013 - this will render the output independent 224s + ## from the version of the package 224s + suppressPackageStartupMessages(library(rrcov)) 224s + 224s + method <- match.arg(method) 224s + 224s + data(heart) 224s + data(starsCYG) 224s + data(phosphor) 224s + data(stackloss) 224s + data(coleman) 224s + data(salinity) 224s + data(wood) 224s + 224s + data(hbk) 224s + 224s + data(Animals, package = "MASS") 224s + brain <- Animals[c(1:24, 26:25, 27:28),] 224s + data(milk) 224s + data(bushfire) 224s + 224s + tmp <- sys.call() 224s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 224s + 224s + cat("Data Set n p Half LOG(obj) Time\n") 224s + cat("========================================================\n") 224s + domcd(heart[, 1:2], data(heart), nrep) 224s + ## This will not work within the function, of course 224s + ## - comment it out 224s + ## IGNORE_RDIFF_BEGIN 224s + ## domcd(starsCYG,data(starsCYG), nrep) 224s + ## IGNORE_RDIFF_END 224s + domcd(data.matrix(subset(phosphor, select = -plant)), data(phosphor), nrep) 224s + domcd(stack.x,data(stackloss), nrep) 224s + domcd(data.matrix(subset(coleman, select = -Y)), data(coleman), nrep) 224s + domcd(data.matrix(subset(salinity, select = -Y)), data(salinity), nrep) 224s + ## IGNORE_RDIFF_BEGIN 224s + ## domcd(data.matrix(subset(wood, select = -y)), data(wood), nrep) 224s + ## IGNORE_RDIFF_END 224s + domcd(data.matrix(subset(hbk, select = -Y)), data(hbk), nrep) 224s + 224s + domcd(brain, "Animals", nrep) 224s + domcd(milk, data(milk), nrep) 224s + domcd(bushfire, data(bushfire), nrep) 224s + cat("========================================================\n") 224s + } 224s > 224s > pad.right <- function(z, pads) 224s + { 224s + ### Pads spaces to right of text 224s + padding <- paste(rep(" ", pads), collapse = "") 224s + paste(z, padding, sep = "") 224s + } 224s > 224s > dodata() 224s 224s Call: dodata() 224s Data Set n p Half LOG(obj) Time 224s ======================================================== 224s heart 12 2 224s Outliers: 5 224s [1] 2 6 8 10 12 224s ------------- 224s 224s Call: 224s CovOgk(x = x) 224s -> Method: Orthogonalized Gnanadesikan-Kettenring Estimator 224s 224s Robust Estimate of Location: 224s height weight 224s 39.76 35.71 224s 224s Robust Estimate of Covariance: 224s height weight 224s height 15.88 32.07 224s weight 32.07 78.28 224s -------------------------------------------------------- 224s phosphor 18 2 224s Outliers: 2 224s [1] 1 6 224s ------------- 224s 224s Call: 224s CovOgk(x = x) 224s -> Method: Orthogonalized Gnanadesikan-Kettenring Estimator 224s 224s Robust Estimate of Location: 224s inorg organic 224s 13.31 40.00 224s 224s Robust Estimate of Covariance: 224s inorg organic 224s inorg 92.82 93.24 224s organic 93.24 152.62 224s -------------------------------------------------------- 224s stackloss 21 3 224s Outliers: 2 224s [1] 1 2 224s ------------- 224s 224s Call: 224s CovOgk(x = x) 224s -> Method: Orthogonalized Gnanadesikan-Kettenring Estimator 224s 224s Robust Estimate of Location: 224s Air.Flow Water.Temp Acid.Conc. 224s 57.72 20.50 85.78 224s 224s Robust Estimate of Covariance: 224s Air.Flow Water.Temp Acid.Conc. 224s Air.Flow 38.423 11.306 18.605 224s Water.Temp 11.306 6.806 5.889 224s Acid.Conc. 18.605 5.889 29.840 224s -------------------------------------------------------- 224s coleman 20 5 224s Outliers: 3 224s [1] 1 6 10 224s ------------- 224s 224s Call: 224s CovOgk(x = x) 224s -> Method: Orthogonalized Gnanadesikan-Kettenring Estimator 224s 224s Robust Estimate of Location: 224s salaryP fatherWc sstatus teacherSc motherLev 224s 2.723 43.202 2.912 25.010 6.290 224s 224s Robust Estimate of Covariance: 224s salaryP fatherWc sstatus teacherSc motherLev 224s salaryP 0.12867 2.80048 0.92026 0.15118 0.06413 224s fatherWc 2.80048 678.72549 227.36415 9.30826 16.15102 224s sstatus 0.92026 227.36415 101.39094 3.38013 5.63283 224s teacherSc 0.15118 9.30826 3.38013 0.57112 0.27701 224s motherLev 0.06413 16.15102 5.63283 0.27701 0.44801 224s -------------------------------------------------------- 224s salinity 28 3 224s Outliers: 3 224s [1] 3 5 16 224s ------------- 224s 224s Call: 224s CovOgk(x = x) 224s -> Method: Orthogonalized Gnanadesikan-Kettenring Estimator 224s 224s Robust Estimate of Location: 224s X1 X2 X3 224s 10.74 2.68 22.99 224s 224s Robust Estimate of Covariance: 224s X1 X2 X3 224s X1 8.1047 -0.6365 -0.4720 224s X2 -0.6365 3.0976 -1.3520 224s X3 -0.4720 -1.3520 2.3648 224s -------------------------------------------------------- 224s hbk 75 3 224s Outliers: 14 224s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 224s ------------- 224s 224s Call: 224s CovOgk(x = x) 224s -> Method: Orthogonalized Gnanadesikan-Kettenring Estimator 224s 224s Robust Estimate of Location: 224s X1 X2 X3 224s 1.538 1.780 1.687 224s 224s Robust Estimate of Covariance: 224s X1 X2 X3 224s X1 1.11350 0.04992 0.11541 224s X2 0.04992 1.13338 0.13843 224s X3 0.11541 0.13843 1.05261 224s -------------------------------------------------------- 224s Animals 28 2 224s Outliers: 12 224s [1] 2 6 7 9 12 14 15 16 17 24 25 28 224s ------------- 224s 224s Call: 224s CovOgk(x = x) 224s -> Method: Orthogonalized Gnanadesikan-Kettenring Estimator 224s 224s Robust Estimate of Location: 224s body brain 224s 39.65 105.83 224s 224s Robust Estimate of Covariance: 224s body brain 224s body 3981 7558 224s brain 7558 16594 224s -------------------------------------------------------- 224s milk 86 8 224s Outliers: 22 224s [1] 1 2 3 11 12 13 14 15 16 17 18 20 27 41 44 47 50 70 74 75 77 85 224s ------------- 224s 224s Call: 224s CovOgk(x = x) 224s -> Method: Orthogonalized Gnanadesikan-Kettenring Estimator 224s 224s Robust Estimate of Location: 224s X1 X2 X3 X4 X5 X6 X7 X8 224s 1.03 35.80 33.10 26.15 25.13 25.06 123.06 14.39 224s 224s Robust Estimate of Covariance: 224s X1 X2 X3 X4 X5 X6 X7 224s X1 4.074e-07 5.255e-05 1.564e-04 1.506e-04 1.340e-04 1.234e-04 5.308e-04 224s X2 5.255e-05 1.464e+00 3.425e-01 2.465e-01 1.847e-01 2.484e-01 1.459e+00 224s X3 1.564e-04 3.425e-01 1.070e+00 7.834e-01 7.665e-01 7.808e-01 7.632e-01 224s X4 1.506e-04 2.465e-01 7.834e-01 6.178e-01 5.868e-01 5.959e-01 5.923e-01 224s X5 1.340e-04 1.847e-01 7.665e-01 5.868e-01 6.124e-01 5.967e-01 5.868e-01 224s X6 1.234e-04 2.484e-01 7.808e-01 5.959e-01 5.967e-01 6.253e-01 5.819e-01 224s X7 5.308e-04 1.459e+00 7.632e-01 5.923e-01 5.868e-01 5.819e-01 3.535e+00 224s X8 1.990e-07 1.851e-01 1.861e-01 1.210e-01 1.041e-01 1.116e-01 3.046e-01 224s X8 224s X1 1.990e-07 224s X2 1.851e-01 224s X3 1.861e-01 224s X4 1.210e-01 224s X5 1.041e-01 224s X6 1.116e-01 224s X7 3.046e-01 224s X8 1.292e-01 224s -------------------------------------------------------- 224s bushfire 38 5 224s Outliers: 17 224s [1] 7 8 9 10 11 12 28 29 30 31 32 33 34 35 36 37 38 224s ------------- 224s 224s Call: 224s CovOgk(x = x) 224s -> Method: Orthogonalized Gnanadesikan-Kettenring Estimator 224s 224s Robust Estimate of Location: 224s V1 V2 V3 V4 V5 224s 104.5 146.0 275.6 217.8 279.3 224s 224s Robust Estimate of Covariance: 224s V1 V2 V3 V4 V5 224s V1 266.8 203.2 -1380.7 -311.1 -252.2 224s V2 203.2 178.4 -910.9 -185.9 -155.9 224s V3 -1380.7 -910.9 8279.7 2035.5 1615.4 224s V4 -311.1 -185.9 2035.5 536.5 418.6 224s V5 -252.2 -155.9 1615.4 418.6 329.2 224s -------------------------------------------------------- 224s ======================================================== 224s > 224s BEGIN TEST tqda.R 224s 224s R version 4.4.3 (2025-02-28) -- "Trophy Case" 224s Copyright (C) 2025 The R Foundation for Statistical Computing 224s Platform: x86_64-pc-linux-gnu 224s 224s R is free software and comes with ABSOLUTELY NO WARRANTY. 224s You are welcome to redistribute it under certain conditions. 224s Type 'license()' or 'licence()' for distribution details. 224s 224s R is a collaborative project with many contributors. 224s Type 'contributors()' for more information and 224s 'citation()' on how to cite R or R packages in publications. 224s 224s Type 'demo()' for some demos, 'help()' for on-line help, or 224s 'help.start()' for an HTML browser interface to help. 224s Type 'q()' to quit R. 224s 224s > ## VT::15.09.2013 - this will render the output independent 224s > ## from the version of the package 224s > suppressPackageStartupMessages(library(rrcov)) 224s > 224s > dodata <- function(method) { 224s + 224s + options(digits = 5) 224s + set.seed(101) # <<-- sub-sampling algorithm now based on R's RNG and seed 224s + 224s + tmp <- sys.call() 224s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 224s + cat("===================================================\n") 224s + 224s + data(hemophilia); show(QdaCov(as.factor(gr)~., data=hemophilia, method=method)) 224s + data(anorexia, package="MASS"); show(QdaCov(Treat~., data=anorexia, method=method)) 224s + data(Pima.tr, package="MASS"); show(QdaCov(type~., data=Pima.tr, method=method)) 224s + data(iris); # show(QdaCov(Species~., data=iris, method=method)) 224s + data(crabs, package="MASS"); # show(QdaCov(sp~., data=crabs, method=method)) 224s + 224s + show(QdaClassic(as.factor(gr)~., data=hemophilia)) 224s + show(QdaClassic(Treat~., data=anorexia)) 224s + show(QdaClassic(type~., data=Pima.tr)) 224s + show(QdaClassic(Species~., data=iris)) 224s + ## show(QdaClassic(sp~., data=crabs)) 224s + cat("===================================================\n") 224s + } 224s > 224s > 224s > ## -- now do it: 224s > dodata(method="mcd") 225s 225s Call: dodata(method = "mcd") 225s =================================================== 225s Call: 225s QdaCov(as.factor(gr) ~ ., data = hemophilia, method = method) 225s 225s Prior Probabilities of Groups: 225s carrier normal 225s 0.6 0.4 225s 225s Group means: 225s AHFactivity AHFantigen 225s carrier -0.30795 -0.0059911 225s normal -0.12920 -0.0603000 225s 225s Group: carrier 225s AHFactivity AHFantigen 225s AHFactivity 0.023784 0.015376 225s AHFantigen 0.015376 0.024035 225s 225s Group: normal 225s AHFactivity AHFantigen 225s AHFactivity 0.0057546 0.0042606 225s AHFantigen 0.0042606 0.0084914 225s Call: 225s QdaCov(Treat ~ ., data = anorexia, method = method) 225s 225s Prior Probabilities of Groups: 225s CBT Cont FT 225s 0.40278 0.36111 0.23611 225s 225s Group means: 225s Prewt Postwt 225s CBT 82.633 82.950 225s Cont 81.558 81.108 225s FT 84.331 94.762 225s 225s Group: CBT 225s Prewt Postwt 225s Prewt 9.8671 8.6611 225s Postwt 8.6611 11.8966 225s 225s Group: Cont 225s Prewt Postwt 225s Prewt 32.5705 -4.3705 225s Postwt -4.3705 22.5079 225s 225s Group: FT 225s Prewt Postwt 225s Prewt 33.056 10.814 225s Postwt 10.814 14.265 225s Call: 225s QdaCov(type ~ ., data = Pima.tr, method = method) 225s 225s Prior Probabilities of Groups: 225s No Yes 225s 0.66 0.34 225s 225s Group means: 225s npreg glu bp skin bmi ped age 225s No 1.8602 107.69 67.344 25.29 30.642 0.40777 24.667 225s Yes 5.3167 145.85 74.283 31.80 34.095 0.49533 37.883 225s 225s Group: No 225s npreg glu bp skin bmi ped age 225s npreg 2.221983 -0.18658 1.86507 -0.44427 0.1725348 -0.0683616 2.63439 225s glu -0.186582 471.88789 45.28021 8.95404 30.6551510 -0.6359899 3.50218 225s bp 1.865066 45.28021 110.09787 26.11192 14.4739180 -0.2104074 13.23392 225s skin -0.444272 8.95404 26.11192 118.30521 52.3115719 -0.2995751 8.65861 225s bmi 0.172535 30.65515 14.47392 52.31157 43.3140415 0.0079866 6.75720 225s ped -0.068362 -0.63599 -0.21041 -0.29958 0.0079866 0.0587710 -0.18683 225s age 2.634387 3.50218 13.23392 8.65861 6.7572019 -0.1868284 12.09493 225s 225s Group: Yes 225s npreg glu bp skin bmi ped age 225s npreg 17.875215 -13.740021 9.03580 4.498580 1.787458 0.079504 26.92283 225s glu -13.740021 917.719003 55.30399 27.976265 10.755113 0.092673 38.94970 225s bp 9.035798 55.303991 129.97953 34.130200 10.104275 0.198342 32.95351 225s skin 4.498580 27.976265 34.13020 101.842647 30.297210 0.064739 3.59427 225s bmi 1.787458 10.755113 10.10428 30.297210 22.529467 0.084369 -6.64317 225s ped 0.079504 0.092673 0.19834 0.064739 0.084369 0.066667 0.11199 225s age 26.922828 38.949697 32.95351 3.594266 -6.643165 0.111992 143.69752 225s Call: 225s QdaClassic(as.factor(gr) ~ ., data = hemophilia) 225s 225s Prior Probabilities of Groups: 225s carrier normal 225s 0.6 0.4 225s 225s Group means: 225s AHFactivity AHFantigen 225s carrier -0.30795 -0.0059911 225s normal -0.13487 -0.0778567 225s 225s Group: carrier 225s AHFactivity AHFantigen 225s AHFactivity 0.023784 0.015376 225s AHFantigen 0.015376 0.024035 225s 225s Group: normal 225s AHFactivity AHFantigen 225s AHFactivity 0.020897 0.015515 225s AHFantigen 0.015515 0.017920 225s Call: 225s QdaClassic(Treat ~ ., data = anorexia) 225s 225s Prior Probabilities of Groups: 225s CBT Cont FT 225s 0.40278 0.36111 0.23611 225s 225s Group means: 225s Prewt Postwt 225s CBT 82.690 85.697 225s Cont 81.558 81.108 225s FT 83.229 90.494 225s 225s Group: CBT 225s Prewt Postwt 225s Prewt 23.479 19.910 225s Postwt 19.910 69.755 225s 225s Group: Cont 225s Prewt Postwt 225s Prewt 32.5705 -4.3705 225s Postwt -4.3705 22.5079 225s 225s Group: FT 225s Prewt Postwt 225s Prewt 25.167 22.883 225s Postwt 22.883 71.827 225s Call: 225s QdaClassic(type ~ ., data = Pima.tr) 225s 225s Prior Probabilities of Groups: 225s No Yes 225s 0.66 0.34 225s 225s Group means: 225s npreg glu bp skin bmi ped age 225s No 2.9167 113.11 69.545 27.205 31.074 0.41548 29.235 225s Yes 4.8382 145.06 74.588 33.118 34.709 0.54866 37.691 225s 225s Group: No 225s npreg glu bp skin bmi ped age 225s npreg 7.878499 10.77226 8.190840 2.910305 -0.035751 -0.207341 16.82888 225s glu 10.772265 709.56118 81.430257 13.237682 19.037867 -0.518609 59.01307 225s bp 8.190840 81.43026 122.845246 33.879944 16.612630 -0.077183 46.78695 225s skin 2.910305 13.23768 33.879944 119.446391 50.125920 0.074282 18.47068 225s bmi -0.035751 19.03787 16.612630 50.125920 40.722996 0.145242 6.99999 225s ped -0.207341 -0.51861 -0.077183 0.074282 0.145242 0.071388 -0.53814 225s age 16.828880 59.01307 46.786954 18.470680 6.999988 -0.538138 91.08183 225s 225s Group: Yes 225s npreg glu bp skin bmi ped age 225s npreg 15.77941 -8.199298 6.42493 -0.51800 -1.03288 -0.133011 21.93437 225s glu -8.19930 907.250219 23.71115 87.51536 9.98156 -0.082159 58.12291 225s bp 6.42493 23.711150 134.18613 19.70588 5.15891 -0.795470 26.30378 225s skin -0.51800 87.515364 19.70588 151.32924 28.28551 0.347951 26.67867 225s bmi -1.03288 9.981563 5.15891 28.28551 23.14529 0.457694 -7.91216 225s ped -0.13301 -0.082159 -0.79547 0.34795 0.45769 0.128883 -0.41737 225s age 21.93437 58.122915 26.30378 26.67867 -7.91216 -0.417375 131.79873 225s Call: 225s QdaClassic(Species ~ ., data = iris) 225s 225s Prior Probabilities of Groups: 225s setosa versicolor virginica 225s 0.33333 0.33333 0.33333 225s 225s Group means: 225s Sepal.Length Sepal.Width Petal.Length Petal.Width 225s setosa 5.006 3.428 1.462 0.246 225s versicolor 5.936 2.770 4.260 1.326 225s virginica 6.588 2.974 5.552 2.026 225s 225s Group: setosa 225s Sepal.Length Sepal.Width Petal.Length Petal.Width 225s Sepal.Length 0.124249 0.099216 0.0163551 0.0103306 225s Sepal.Width 0.099216 0.143690 0.0116980 0.0092980 225s Petal.Length 0.016355 0.011698 0.0301592 0.0060694 225s Petal.Width 0.010331 0.009298 0.0060694 0.0111061 225s 225s Group: versicolor 225s Sepal.Length Sepal.Width Petal.Length Petal.Width 225s Sepal.Length 0.266433 0.085184 0.182898 0.055780 225s Sepal.Width 0.085184 0.098469 0.082653 0.041204 225s Petal.Length 0.182898 0.082653 0.220816 0.073102 225s Petal.Width 0.055780 0.041204 0.073102 0.039106 225s 225s Group: virginica 225s Sepal.Length Sepal.Width Petal.Length Petal.Width 225s Sepal.Length 0.404343 0.093763 0.303290 0.049094 225s Sepal.Width 0.093763 0.104004 0.071380 0.047629 225s Petal.Length 0.303290 0.071380 0.304588 0.048824 225s Petal.Width 0.049094 0.047629 0.048824 0.075433 225s =================================================== 225s > dodata(method="m") 225s 225s Call: dodata(method = "m") 225s =================================================== 225s Call: 225s QdaCov(as.factor(gr) ~ ., data = hemophilia, method = method) 225s 225s Prior Probabilities of Groups: 225s carrier normal 225s 0.6 0.4 225s 225s Group means: 225s AHFactivity AHFantigen 225s carrier -0.29810 -0.0028222 225s normal -0.13081 -0.0675283 225s 225s Group: carrier 225s AHFactivity AHFantigen 225s AHFactivity 0.026018 0.017653 225s AHFantigen 0.017653 0.030128 225s 225s Group: normal 225s AHFactivity AHFantigen 225s AHFactivity 0.0081933 0.0065737 225s AHFantigen 0.0065737 0.0118565 225s Call: 225s QdaCov(Treat ~ ., data = anorexia, method = method) 225s 225s Prior Probabilities of Groups: 225s CBT Cont FT 225s 0.40278 0.36111 0.23611 225s 225s Group means: 225s Prewt Postwt 225s CBT 82.436 82.631 225s Cont 81.559 80.272 225s FT 85.120 94.657 225s 225s Group: CBT 225s Prewt Postwt 225s Prewt 23.630 25.128 225s Postwt 25.128 38.142 225s 225s Group: Cont 225s Prewt Postwt 225s Prewt 35.8824 -8.2405 225s Postwt -8.2405 23.7416 225s 225s Group: FT 225s Prewt Postwt 225s Prewt 33.805 18.206 225s Postwt 18.206 24.639 225s Call: 225s QdaCov(type ~ ., data = Pima.tr, method = method) 225s 225s Prior Probabilities of Groups: 225s No Yes 225s 0.66 0.34 225s 225s Group means: 225s npreg glu bp skin bmi ped age 225s No 2.5225 111.26 68.081 26.640 30.801 0.40452 26.306 225s Yes 5.0702 144.32 75.088 31.982 34.267 0.47004 37.140 225s 225s Group: No 225s npreg glu bp skin bmi ped age 225s npreg 5.74219 14.47051 6.63766 4.98559 0.826570 -0.128106 10.71303 225s glu 14.47051 591.08717 68.81219 44.73311 40.658393 -0.545716 38.01918 225s bp 6.63766 68.81219 121.02716 30.46466 16.789801 -0.320065 25.29371 225s skin 4.98559 44.73311 30.46466 136.52176 56.604475 -0.250711 19.73259 225s bmi 0.82657 40.65839 16.78980 56.60447 47.859747 0.046358 6.94523 225s ped -0.12811 -0.54572 -0.32006 -0.25071 0.046358 0.061485 -0.34653 225s age 10.71303 38.01918 25.29371 19.73259 6.945227 -0.346527 35.66101 225s 225s Group: Yes 225s npreg glu bp skin bmi ped age 225s npreg 15.98861 -1.2430 10.48556 9.05947 2.425316 0.162453 30.149872 225s glu -1.24304 867.1076 46.43838 25.92297 5.517382 1.044360 31.152650 225s bp 10.48556 46.4384 130.12536 17.21407 6.343942 -0.235121 41.091494 225s skin 9.05947 25.9230 17.21407 85.96314 26.089017 0.170061 14.562516 225s bmi 2.42532 5.5174 6.34394 26.08902 22.051976 0.097786 -5.297971 225s ped 0.16245 1.0444 -0.23512 0.17006 0.097786 0.057112 0.055286 225s age 30.14987 31.1527 41.09149 14.56252 -5.297971 0.055286 137.440921 225s Call: 225s QdaClassic(as.factor(gr) ~ ., data = hemophilia) 225s 225s Prior Probabilities of Groups: 225s carrier normal 225s 0.6 0.4 225s 225s Group means: 225s AHFactivity AHFantigen 225s carrier -0.30795 -0.0059911 225s normal -0.13487 -0.0778567 225s 225s Group: carrier 225s AHFactivity AHFantigen 225s AHFactivity 0.023784 0.015376 225s AHFantigen 0.015376 0.024035 225s 225s Group: normal 225s AHFactivity AHFantigen 225s AHFactivity 0.020897 0.015515 225s AHFantigen 0.015515 0.017920 225s Call: 225s QdaClassic(Treat ~ ., data = anorexia) 225s 225s Prior Probabilities of Groups: 225s CBT Cont FT 225s 0.40278 0.36111 0.23611 225s 225s Group means: 225s Prewt Postwt 225s CBT 82.690 85.697 225s Cont 81.558 81.108 225s FT 83.229 90.494 225s 225s Group: CBT 225s Prewt Postwt 225s Prewt 23.479 19.910 225s Postwt 19.910 69.755 225s 225s Group: Cont 225s Prewt Postwt 225s Prewt 32.5705 -4.3705 225s Postwt -4.3705 22.5079 225s 225s Group: FT 225s Prewt Postwt 225s Prewt 25.167 22.883 225s Postwt 22.883 71.827 225s Call: 225s QdaClassic(type ~ ., data = Pima.tr) 225s 225s Prior Probabilities of Groups: 225s No Yes 225s 0.66 0.34 225s 225s Group means: 225s npreg glu bp skin bmi ped age 225s No 2.9167 113.11 69.545 27.205 31.074 0.41548 29.235 225s Yes 4.8382 145.06 74.588 33.118 34.709 0.54866 37.691 225s 225s Group: No 225s npreg glu bp skin bmi ped age 225s npreg 7.878499 10.77226 8.190840 2.910305 -0.035751 -0.207341 16.82888 225s glu 10.772265 709.56118 81.430257 13.237682 19.037867 -0.518609 59.01307 225s bp 8.190840 81.43026 122.845246 33.879944 16.612630 -0.077183 46.78695 225s skin 2.910305 13.23768 33.879944 119.446391 50.125920 0.074282 18.47068 225s bmi -0.035751 19.03787 16.612630 50.125920 40.722996 0.145242 6.99999 225s ped -0.207341 -0.51861 -0.077183 0.074282 0.145242 0.071388 -0.53814 225s age 16.828880 59.01307 46.786954 18.470680 6.999988 -0.538138 91.08183 225s 225s Group: Yes 225s npreg glu bp skin bmi ped age 225s npreg 15.77941 -8.199298 6.42493 -0.51800 -1.03288 -0.133011 21.93437 225s glu -8.19930 907.250219 23.71115 87.51536 9.98156 -0.082159 58.12291 225s bp 6.42493 23.711150 134.18613 19.70588 5.15891 -0.795470 26.30378 225s skin -0.51800 87.515364 19.70588 151.32924 28.28551 0.347951 26.67867 225s bmi -1.03288 9.981563 5.15891 28.28551 23.14529 0.457694 -7.91216 225s ped -0.13301 -0.082159 -0.79547 0.34795 0.45769 0.128883 -0.41737 225s age 21.93437 58.122915 26.30378 26.67867 -7.91216 -0.417375 131.79873 225s Call: 225s QdaClassic(Species ~ ., data = iris) 225s 225s Prior Probabilities of Groups: 225s setosa versicolor virginica 225s 0.33333 0.33333 0.33333 225s 225s Group means: 225s Sepal.Length Sepal.Width Petal.Length Petal.Width 225s setosa 5.006 3.428 1.462 0.246 225s versicolor 5.936 2.770 4.260 1.326 225s virginica 6.588 2.974 5.552 2.026 225s 225s Group: setosa 225s Sepal.Length Sepal.Width Petal.Length Petal.Width 225s Sepal.Length 0.124249 0.099216 0.0163551 0.0103306 225s Sepal.Width 0.099216 0.143690 0.0116980 0.0092980 225s Petal.Length 0.016355 0.011698 0.0301592 0.0060694 225s Petal.Width 0.010331 0.009298 0.0060694 0.0111061 225s 225s Group: versicolor 225s Sepal.Length Sepal.Width Petal.Length Petal.Width 225s Sepal.Length 0.266433 0.085184 0.182898 0.055780 225s Sepal.Width 0.085184 0.098469 0.082653 0.041204 225s Petal.Length 0.182898 0.082653 0.220816 0.073102 225s Petal.Width 0.055780 0.041204 0.073102 0.039106 225s 225s Group: virginica 225s Sepal.Length Sepal.Width Petal.Length Petal.Width 225s Sepal.Length 0.404343 0.093763 0.303290 0.049094 225s Sepal.Width 0.093763 0.104004 0.071380 0.047629 225s Petal.Length 0.303290 0.071380 0.304588 0.048824 225s Petal.Width 0.049094 0.047629 0.048824 0.075433 225s =================================================== 225s > dodata(method="ogk") 225s 225s Call: dodata(method = "ogk") 225s =================================================== 225s Call: 225s QdaCov(as.factor(gr) ~ ., data = hemophilia, method = method) 225s 225s Prior Probabilities of Groups: 225s carrier normal 225s 0.6 0.4 225s 225s Group means: 225s AHFactivity AHFantigen 225s carrier -0.29324 0.00033953 225s normal -0.12744 -0.06628182 225s 225s Group: carrier 225s AHFactivity AHFantigen 225s AHFactivity 0.019260 0.013026 225s AHFantigen 0.013026 0.021889 225s 225s Group: normal 225s AHFactivity AHFantigen 225s AHFactivity 0.0049651 0.0039707 225s AHFantigen 0.0039707 0.0066084 225s Call: 225s QdaCov(Treat ~ ., data = anorexia, method = method) 225s 225s Prior Probabilities of Groups: 225s CBT Cont FT 225s 0.40278 0.36111 0.23611 225s 225s Group means: 225s Prewt Postwt 225s CBT 82.587 82.709 225s Cont 81.558 81.108 225s FT 85.110 94.470 225s 225s Group: CBT 225s Prewt Postwt 225s Prewt 10.452 15.115 225s Postwt 15.115 37.085 225s 225s Group: Cont 225s Prewt Postwt 225s Prewt 31.3178 -4.2024 225s Postwt -4.2024 21.6422 225s 225s Group: FT 225s Prewt Postwt 225s Prewt 5.5309 1.4813 225s Postwt 1.4813 7.5501 225s Call: 225s QdaCov(type ~ ., data = Pima.tr, method = method) 225s 225s Prior Probabilities of Groups: 225s No Yes 225s 0.66 0.34 225s 225s Group means: 225s npreg glu bp skin bmi ped age 225s No 2.4286 110.35 67.495 25.905 30.275 0.39587 26.248 225s Yes 5.1964 142.71 75.357 32.732 34.809 0.48823 37.607 225s 225s Group: No 225s npreg glu bp skin bmi ped age 225s npreg 3.97823 8.70612 4.58776 4.16463 0.250612 -0.117238 8.21769 225s glu 8.70612 448.91392 51.71120 38.66213 21.816345 -0.296524 24.29370 225s bp 4.58776 51.71120 99.41188 24.27574 10.491311 -0.290753 20.02975 225s skin 4.16463 38.66213 24.27574 98.61950 41.682404 -0.335213 16.60454 225s bmi 0.25061 21.81634 10.49131 41.68240 35.237101 -0.019774 5.12042 225s ped -0.11724 -0.29652 -0.29075 -0.33521 -0.019774 0.051431 -0.36275 225s age 8.21769 24.29370 20.02975 16.60454 5.120417 -0.362748 31.32916 225s 225s Group: Yes 225s npreg glu bp skin bmi ped age 225s npreg 15.26499 6.30612 3.01913 3.76690 0.94825 0.12076 22.64860 225s glu 6.30612 688.16837 22.22704 12.81633 3.55791 0.68833 32.28061 225s bp 3.01913 22.22704 103.97959 9.95281 2.09860 0.45672 31.17602 225s skin 3.76690 12.81633 9.95281 67.51754 19.51489 0.59831 -2.35523 225s bmi 0.94825 3.55791 2.09860 19.51489 17.20331 0.24347 -6.88221 225s ped 0.12076 0.68833 0.45672 0.59831 0.24347 0.05933 0.43798 225s age 22.64860 32.28061 31.17602 -2.35523 -6.88221 0.43798 111.16709 225s Call: 225s QdaClassic(as.factor(gr) ~ ., data = hemophilia) 225s 225s Prior Probabilities of Groups: 225s carrier normal 225s 0.6 0.4 225s 225s Group means: 225s AHFactivity AHFantigen 225s carrier -0.30795 -0.0059911 225s normal -0.13487 -0.0778567 225s 225s Group: carrier 225s AHFactivity AHFantigen 225s AHFactivity 0.023784 0.015376 225s AHFantigen 0.015376 0.024035 225s 225s Group: normal 225s AHFactivity AHFantigen 225s AHFactivity 0.020897 0.015515 225s AHFantigen 0.015515 0.017920 225s Call: 225s QdaClassic(Treat ~ ., data = anorexia) 225s 225s Prior Probabilities of Groups: 225s CBT Cont FT 225s 0.40278 0.36111 0.23611 225s 225s Group means: 225s Prewt Postwt 225s CBT 82.690 85.697 225s Cont 81.558 81.108 225s FT 83.229 90.494 225s 225s Group: CBT 225s Prewt Postwt 225s Prewt 23.479 19.910 225s Postwt 19.910 69.755 225s 225s Group: Cont 225s Prewt Postwt 225s Prewt 32.5705 -4.3705 225s Postwt -4.3705 22.5079 225s 225s Group: FT 225s Prewt Postwt 225s Prewt 25.167 22.883 225s Postwt 22.883 71.827 225s Call: 225s QdaClassic(type ~ ., data = Pima.tr) 225s 225s Prior Probabilities of Groups: 225s No Yes 225s 0.66 0.34 225s 225s Group means: 225s npreg glu bp skin bmi ped age 225s No 2.9167 113.11 69.545 27.205 31.074 0.41548 29.235 225s Yes 4.8382 145.06 74.588 33.118 34.709 0.54866 37.691 225s 225s Group: No 225s npreg glu bp skin bmi ped age 225s npreg 7.878499 10.77226 8.190840 2.910305 -0.035751 -0.207341 16.82888 225s glu 10.772265 709.56118 81.430257 13.237682 19.037867 -0.518609 59.01307 225s bp 8.190840 81.43026 122.845246 33.879944 16.612630 -0.077183 46.78695 225s skin 2.910305 13.23768 33.879944 119.446391 50.125920 0.074282 18.47068 225s bmi -0.035751 19.03787 16.612630 50.125920 40.722996 0.145242 6.99999 225s ped -0.207341 -0.51861 -0.077183 0.074282 0.145242 0.071388 -0.53814 225s age 16.828880 59.01307 46.786954 18.470680 6.999988 -0.538138 91.08183 225s 225s Group: Yes 225s npreg glu bp skin bmi ped age 225s npreg 15.77941 -8.199298 6.42493 -0.51800 -1.03288 -0.133011 21.93437 225s glu -8.19930 907.250219 23.71115 87.51536 9.98156 -0.082159 58.12291 225s bp 6.42493 23.711150 134.18613 19.70588 5.15891 -0.795470 26.30378 225s skin -0.51800 87.515364 19.70588 151.32924 28.28551 0.347951 26.67867 225s bmi -1.03288 9.981563 5.15891 28.28551 23.14529 0.457694 -7.91216 225s ped -0.13301 -0.082159 -0.79547 0.34795 0.45769 0.128883 -0.41737 225s age 21.93437 58.122915 26.30378 26.67867 -7.91216 -0.417375 131.79873 225s Call: 225s QdaClassic(Species ~ ., data = iris) 225s 225s Prior Probabilities of Groups: 225s setosa versicolor virginica 225s 0.33333 0.33333 0.33333 225s 225s Group means: 225s Sepal.Length Sepal.Width Petal.Length Petal.Width 225s setosa 5.006 3.428 1.462 0.246 225s versicolor 5.936 2.770 4.260 1.326 225s virginica 6.588 2.974 5.552 2.026 225s 225s Group: setosa 225s Sepal.Length Sepal.Width Petal.Length Petal.Width 225s Sepal.Length 0.124249 0.099216 0.0163551 0.0103306 225s Sepal.Width 0.099216 0.143690 0.0116980 0.0092980 225s Petal.Length 0.016355 0.011698 0.0301592 0.0060694 225s Petal.Width 0.010331 0.009298 0.0060694 0.0111061 225s 225s Group: versicolor 225s Sepal.Length Sepal.Width Petal.Length Petal.Width 225s Sepal.Length 0.266433 0.085184 0.182898 0.055780 225s Sepal.Width 0.085184 0.098469 0.082653 0.041204 225s Petal.Length 0.182898 0.082653 0.220816 0.073102 225s Petal.Width 0.055780 0.041204 0.073102 0.039106 225s 225s Group: virginica 225s Sepal.Length Sepal.Width Petal.Length Petal.Width 225s Sepal.Length 0.404343 0.093763 0.303290 0.049094 225s Sepal.Width 0.093763 0.104004 0.071380 0.047629 225s Petal.Length 0.303290 0.071380 0.304588 0.048824 225s Petal.Width 0.049094 0.047629 0.048824 0.075433 225s =================================================== 225s > dodata(method="sde") 225s 225s Call: dodata(method = "sde") 225s =================================================== 225s Call: 225s QdaCov(as.factor(gr) ~ ., data = hemophilia, method = method) 225s 225s Prior Probabilities of Groups: 225s carrier normal 225s 0.6 0.4 225s 225s Group means: 225s AHFactivity AHFantigen 225s carrier -0.29834 -0.0032286 225s normal -0.12944 -0.0676930 225s 225s Group: carrier 225s AHFactivity AHFantigen 225s AHFactivity 0.025398 0.017810 225s AHFantigen 0.017810 0.030639 225s 225s Group: normal 225s AHFactivity AHFantigen 225s AHFactivity 0.0083435 0.0067686 225s AHFantigen 0.0067686 0.0119565 225s Call: 225s QdaCov(Treat ~ ., data = anorexia, method = method) 225s 225s Prior Probabilities of Groups: 225s CBT Cont FT 225s 0.40278 0.36111 0.23611 225s 225s Group means: 225s Prewt Postwt 225s CBT 82.949 83.323 225s Cont 81.484 80.840 225s FT 84.596 93.835 225s 225s Group: CBT 225s Prewt Postwt 225s Prewt 22.283 17.084 225s Postwt 17.084 25.308 225s 225s Group: Cont 225s Prewt Postwt 225s Prewt 37.1864 -8.8896 225s Postwt -8.8896 31.1930 225s 225s Group: FT 225s Prewt Postwt 225s Prewt 20.7108 3.1531 225s Postwt 3.1531 25.7046 225s Call: 225s QdaCov(type ~ ., data = Pima.tr, method = method) 225s 225s Prior Probabilities of Groups: 225s No Yes 225s 0.66 0.34 225s 225s Group means: 225s npreg glu bp skin bmi ped age 225s No 2.2567 109.91 67.538 25.484 30.355 0.38618 25.628 225s Yes 5.2216 141.64 75.048 32.349 34.387 0.47742 37.634 225s 225s Group: No 225s npreg glu bp skin bmi ped age 225s npreg 4.396832 10.20629 5.43346 4.38313 7.9891e-01 -0.09389257 7.45638 225s glu 10.206286 601.12211 56.62047 49.67071 3.3829e+01 -0.31896741 31.64508 225s bp 5.433462 56.62047 120.38052 34.38984 1.4817e+01 -0.21784446 26.44853 225s skin 4.383134 49.67071 34.38984 136.94931 6.1576e+01 -0.47532490 17.74141 225s bmi 0.798908 33.82928 14.81668 61.57578 5.1441e+01 0.00061983 8.56856 225s ped -0.093893 -0.31897 -0.21784 -0.47532 6.1983e-04 0.06012655 -0.26872 225s age 7.456376 31.64508 26.44853 17.74141 8.5686e+00 -0.26872005 29.93856 225s 225s Group: Yes 225s npreg glu bp skin bmi ped age 225s npreg 15.91978 7.7491 7.24229 10.46802 5.40627 0.320434 25.88314 225s glu 7.74907 856.4955 58.59554 29.65331 11.44745 1.388745 38.24430 225s bp 7.24229 58.5955 89.66288 21.36597 6.46859 0.764486 36.30462 225s skin 10.46802 29.6533 21.36597 86.79253 26.22071 0.620654 5.28665 225s bmi 5.40627 11.4475 6.46859 26.22071 20.12351 0.211701 0.71583 225s ped 0.32043 1.3887 0.76449 0.62065 0.21170 0.062727 0.93743 225s age 25.88314 38.2443 36.30462 5.28665 0.71583 0.937430 136.24335 225s Call: 225s QdaClassic(as.factor(gr) ~ ., data = hemophilia) 225s 225s Prior Probabilities of Groups: 225s carrier normal 225s 0.6 0.4 225s 225s Group means: 225s AHFactivity AHFantigen 225s carrier -0.30795 -0.0059911 225s normal -0.13487 -0.0778567 225s 225s Group: carrier 225s AHFactivity AHFantigen 225s AHFactivity 0.023784 0.015376 225s AHFantigen 0.015376 0.024035 225s 225s Group: normal 225s AHFactivity AHFantigen 225s AHFactivity 0.020897 0.015515 225s AHFantigen 0.015515 0.017920 225s Call: 225s QdaClassic(Treat ~ ., data = anorexia) 225s 225s Prior Probabilities of Groups: 225s CBT Cont FT 225s 0.40278 0.36111 0.23611 225s 225s Group means: 225s Prewt Postwt 225s CBT 82.690 85.697 225s Cont 81.558 81.108 225s FT 83.229 90.494 225s 225s Group: CBT 225s Prewt Postwt 225s Prewt 23.479 19.910 225s Postwt 19.910 69.755 225s 225s Group: Cont 225s Prewt Postwt 225s Prewt 32.5705 -4.3705 225s Postwt -4.3705 22.5079 225s 225s Group: FT 225s Prewt Postwt 225s Prewt 25.167 22.883 225s Postwt 22.883 71.827 225s Call: 225s QdaClassic(type ~ ., data = Pima.tr) 225s 225s Prior Probabilities of Groups: 225s No Yes 225s 0.66 0.34 225s 225s Group means: 225s npreg glu bp skin bmi ped age 225s No 2.9167 113.11 69.545 27.205 31.074 0.41548 29.235 225s Yes 4.8382 145.06 74.588 33.118 34.709 0.54866 37.691 225s 225s Group: No 225s npreg glu bp skin bmi ped age 225s npreg 7.878499 10.77226 8.190840 2.910305 -0.035751 -0.207341 16.82888 225s glu 10.772265 709.56118 81.430257 13.237682 19.037867 -0.518609 59.01307 225s bp 8.190840 81.43026 122.845246 33.879944 16.612630 -0.077183 46.78695 225s skin 2.910305 13.23768 33.879944 119.446391 50.125920 0.074282 18.47068 225s bmi -0.035751 19.03787 16.612630 50.125920 40.722996 0.145242 6.99999 225s ped -0.207341 -0.51861 -0.077183 0.074282 0.145242 0.071388 -0.53814 225s age 16.828880 59.01307 46.786954 18.470680 6.999988 -0.538138 91.08183 225s 225s Group: Yes 225s npreg glu bp skin bmi ped age 225s npreg 15.77941 -8.199298 6.42493 -0.51800 -1.03288 -0.133011 21.93437 225s glu -8.19930 907.250219 23.71115 87.51536 9.98156 -0.082159 58.12291 225s bp 6.42493 23.711150 134.18613 19.70588 5.15891 -0.795470 26.30378 225s skin -0.51800 87.515364 19.70588 151.32924 28.28551 0.347951 26.67867 225s bmi -1.03288 9.981563 5.15891 28.28551 23.14529 0.457694 -7.91216 225s ped -0.13301 -0.082159 -0.79547 0.34795 0.45769 0.128883 -0.41737 225s age 21.93437 58.122915 26.30378 26.67867 -7.91216 -0.417375 131.79873 225s Call: 225s QdaClassic(Species ~ ., data = iris) 225s 225s Prior Probabilities of Groups: 225s setosa versicolor virginica 225s 0.33333 0.33333 0.33333 225s 225s Group means: 225s Sepal.Length Sepal.Width Petal.Length Petal.Width 225s setosa 5.006 3.428 1.462 0.246 225s versicolor 5.936 2.770 4.260 1.326 225s virginica 6.588 2.974 5.552 2.026 225s 225s Group: setosa 225s Sepal.Length Sepal.Width Petal.Length Petal.Width 225s Sepal.Length 0.124249 0.099216 0.0163551 0.0103306 225s Sepal.Width 0.099216 0.143690 0.0116980 0.0092980 225s Petal.Length 0.016355 0.011698 0.0301592 0.0060694 225s Petal.Width 0.010331 0.009298 0.0060694 0.0111061 225s 225s Group: versicolor 225s Sepal.Length Sepal.Width Petal.Length Petal.Width 225s Sepal.Length 0.266433 0.085184 0.182898 0.055780 225s Sepal.Width 0.085184 0.098469 0.082653 0.041204 225s Petal.Length 0.182898 0.082653 0.220816 0.073102 225s Petal.Width 0.055780 0.041204 0.073102 0.039106 225s 225s Group: virginica 225s Sepal.Length Sepal.Width Petal.Length Petal.Width 225s Sepal.Length 0.404343 0.093763 0.303290 0.049094 225s Sepal.Width 0.093763 0.104004 0.071380 0.047629 225s Petal.Length 0.303290 0.071380 0.304588 0.048824 225s Petal.Width 0.049094 0.047629 0.048824 0.075433 225s =================================================== 225s > 225s BEGIN TEST tsde.R 225s 225s R version 4.4.3 (2025-02-28) -- "Trophy Case" 225s Copyright (C) 2025 The R Foundation for Statistical Computing 225s Platform: x86_64-pc-linux-gnu 225s 225s R is free software and comes with ABSOLUTELY NO WARRANTY. 225s You are welcome to redistribute it under certain conditions. 225s Type 'license()' or 'licence()' for distribution details. 225s 225s R is a collaborative project with many contributors. 225s Type 'contributors()' for more information and 225s 'citation()' on how to cite R or R packages in publications. 225s 225s Type 'demo()' for some demos, 'help()' for on-line help, or 225s 'help.start()' for an HTML browser interface to help. 225s Type 'q()' to quit R. 225s 225s > ## Test for singularity 225s > doexact <- function(){ 225s + exact <-function(){ 225s + n1 <- 45 225s + p <- 2 225s + x1 <- matrix(rnorm(p*n1),nrow=n1, ncol=p) 225s + x1[,p] <- x1[,p] + 3 225s + ## library(MASS) 225s + ## x1 <- mvrnorm(n=n1, mu=c(0,3), Sigma=diag(1,nrow=p)) 225s + 225s + n2 <- 55 225s + m1 <- 0 225s + m2 <- 3 225s + x2 <- cbind(rnorm(n2),rep(m2,n2)) 225s + x<-rbind(x1,x2) 225s + colnames(x) <- c("X1","X2") 225s + x 225s + } 225s + print(CovSde(exact())) 225s + } 225s > 225s > dodata <- function(nrep=1, time=FALSE, short=FALSE, full=TRUE){ 225s + 225s + domcd <- function(x, xname, nrep=1){ 225s + n <- dim(x)[1] 225s + p <- dim(x)[2] 225s + 225s + mcd<-CovSde(x) 225s + 225s + if(time){ 225s + xtime <- system.time(dorep(x, nrep))[1]/nrep 225s + xres <- sprintf("%3d %3d %3d\n", dim(x)[1], dim(x)[2], xtime) 225s + } 225s + else{ 225s + xres <- sprintf("%3d %3d\n", dim(x)[1], dim(x)[2]) 225s + } 225s + lpad<-lname-nchar(xname) 225s + cat(pad.right(xname,lpad), xres) 225s + 225s + if(!short){ 225s + 225s + ibad <- which(mcd@wt==0) 225s + names(ibad) <- NULL 225s + nbad <- length(ibad) 225s + cat("Outliers: ",nbad,"\n") 225s + if(nbad > 0) 225s + print(ibad) 225s + if(full){ 225s + cat("-------------\n") 225s + show(mcd) 225s + } 225s + cat("--------------------------------------------------------\n") 225s + } 225s + } 225s + 225s + options(digits = 5) 225s + set.seed(101) # <<-- sub-sampling algorithm now based on R's RNG and seed 225s + 225s + lname <- 20 225s + 225s + ## VT::15.09.2013 - this will render the output independent 225s + ## from the version of the package 225s + suppressPackageStartupMessages(library(rrcov)) 225s + 225s + data(heart) 225s + data(starsCYG) 225s + data(phosphor) 225s + data(stackloss) 225s + data(coleman) 225s + data(salinity) 225s + data(wood) 225s + 225s + data(hbk) 225s + 225s + data(Animals, package = "MASS") 225s + brain <- Animals[c(1:24, 26:25, 27:28),] 225s + data(milk) 225s + data(bushfire) 225s + 225s + tmp <- sys.call() 225s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 225s + 225s + cat("Data Set n p Half LOG(obj) Time\n") 225s + cat("========================================================\n") 225s + domcd(heart[, 1:2], data(heart), nrep) 225s + domcd(starsCYG, data(starsCYG), nrep) 225s + domcd(data.matrix(subset(phosphor, select = -plant)), data(phosphor), nrep) 225s + domcd(stack.x, data(stackloss), nrep) 225s + domcd(data.matrix(subset(coleman, select = -Y)), data(coleman), nrep) 225s + domcd(data.matrix(subset(salinity, select = -Y)), data(salinity), nrep) 225s + domcd(data.matrix(subset(wood, select = -y)), data(wood), nrep) 225s + domcd(data.matrix(subset(hbk, select = -Y)),data(hbk), nrep) 225s + 225s + domcd(brain, "Animals", nrep) 225s + domcd(milk, data(milk), nrep) 225s + domcd(bushfire, data(bushfire), nrep) 225s + ## VT::19.07.2010: test the univariate SDE 225s + for(i in 1:ncol(bushfire)) 225s + domcd(bushfire[i], data(bushfire), nrep) 225s + cat("========================================================\n") 225s + } 225s > 225s > dogen <- function(nrep=1, eps=0.49){ 225s + 225s + library(MASS) 225s + domcd <- function(x, nrep=1){ 225s + gc() 225s + xtime <- system.time(dorep(x, nrep))[1]/nrep 225s + cat(sprintf("%6d %3d %10.2f\n", dim(x)[1], dim(x)[2], xtime)) 225s + xtime 225s + } 225s + 225s + set.seed(1234) 225s + 225s + ## VT::15.09.2013 - this will render the output independent 225s + ## from the version of the package 225s + suppressPackageStartupMessages(library(rrcov)) 225s + 225s + ap <- c(2, 5, 10, 20, 30) 225s + an <- c(100, 500, 1000, 10000, 50000) 225s + 225s + tottime <- 0 225s + cat(" n p Time\n") 225s + cat("=====================\n") 225s + for(i in 1:length(an)) { 225s + for(j in 1:length(ap)) { 225s + n <- an[i] 225s + p <- ap[j] 225s + if(5*p <= n){ 225s + xx <- gendata(n, p, eps) 225s + X <- xx$X 225s + tottime <- tottime + domcd(X, nrep) 225s + } 225s + } 225s + } 225s + 225s + cat("=====================\n") 225s + cat("Total time: ", tottime*nrep, "\n") 225s + } 225s > 225s > docheck <- function(n, p, eps){ 225s + xx <- gendata(n,p,eps) 225s + mcd <- CovSde(xx$X) 225s + check(mcd, xx$xind) 225s + } 225s > 225s > check <- function(mcd, xind){ 225s + ## check if mcd is robust w.r.t xind, i.e. check how many of xind 225s + ## did not get zero weight 225s + mymatch <- xind %in% which(mcd@wt == 0) 225s + length(xind) - length(which(mymatch)) 225s + } 225s > 225s > dorep <- function(x, nrep=1){ 225s + 225s + for(i in 1:nrep) 225s + CovSde(x) 225s + } 225s > 225s > #### gendata() #### 225s > # Generates a location contaminated multivariate 225s > # normal sample of n observations in p dimensions 225s > # (1-eps)*Np(0,Ip) + eps*Np(m,Ip) 225s > # where 225s > # m = (b,b,...,b) 225s > # Defaults: eps=0 and b=10 225s > # 225s > gendata <- function(n,p,eps=0,b=10){ 225s + 225s + if(missing(n) || missing(p)) 225s + stop("Please specify (n,p)") 225s + if(eps < 0 || eps >= 0.5) 225s + stop(message="eps must be in [0,0.5)") 225s + X <- mvrnorm(n,rep(0,p),diag(1,nrow=p,ncol=p)) 225s + nbad <- as.integer(eps * n) 225s + if(nbad > 0){ 225s + Xbad <- mvrnorm(nbad,rep(b,p),diag(1,nrow=p,ncol=p)) 225s + xind <- sample(n,nbad) 225s + X[xind,] <- Xbad 225s + } 225s + list(X=X, xind=xind) 225s + } 225s > 225s > pad.right <- function(z, pads) 225s + { 225s + ### Pads spaces to right of text 225s + padding <- paste(rep(" ", pads), collapse = "") 225s + paste(z, padding, sep = "") 225s + } 225s > 225s > whatis<-function(x){ 225s + if(is.data.frame(x)) 225s + cat("Type: data.frame\n") 225s + else if(is.matrix(x)) 225s + cat("Type: matrix\n") 225s + else if(is.vector(x)) 225s + cat("Type: vector\n") 225s + else 225s + cat("Type: don't know\n") 225s + } 225s > 225s > ## VT::15.09.2013 - this will render the output independent 225s > ## from the version of the package 225s > suppressPackageStartupMessages(library(rrcov)) 225s > 225s > dodata() 225s 225s Call: dodata() 225s Data Set n p Half LOG(obj) Time 225s ======================================================== 226s heart 12 2 226s Outliers: 5 226s [1] 2 6 8 10 12 226s ------------- 226s 226s Call: 226s CovSde(x = x) 226s -> Method: Stahel-Donoho estimator 226s 226s Robust Estimate of Location: 226s height weight 226s 39.8 35.7 226s 226s Robust Estimate of Covariance: 226s height weight 226s height 38.2 77.1 226s weight 77.1 188.1 226s -------------------------------------------------------- 226s starsCYG 47 2 226s Outliers: 7 226s [1] 7 9 11 14 20 30 34 226s ------------- 226s 226s Call: 226s CovSde(x = x) 226s -> Method: Stahel-Donoho estimator 226s 226s Robust Estimate of Location: 226s log.Te log.light 226s 4.42 4.96 226s 226s Robust Estimate of Covariance: 226s log.Te log.light 226s log.Te 0.0163 0.0522 226s log.light 0.0522 0.3243 226s -------------------------------------------------------- 226s phosphor 18 2 226s Outliers: 2 226s [1] 1 6 226s ------------- 226s 226s Call: 226s CovSde(x = x) 226s -> Method: Stahel-Donoho estimator 226s 226s Robust Estimate of Location: 226s inorg organic 226s 13.3 39.7 226s 226s Robust Estimate of Covariance: 226s inorg organic 226s inorg 133 134 226s organic 134 204 226s -------------------------------------------------------- 226s stackloss 21 3 226s Outliers: 6 226s [1] 1 2 3 15 17 21 226s ------------- 226s 226s Call: 226s CovSde(x = x) 226s -> Method: Stahel-Donoho estimator 226s 226s Robust Estimate of Location: 226s Air.Flow Water.Temp Acid.Conc. 226s 57.8 20.7 86.4 226s 226s Robust Estimate of Covariance: 226s Air.Flow Water.Temp Acid.Conc. 226s Air.Flow 39.7 15.6 25.0 226s Water.Temp 15.6 13.0 11.9 226s Acid.Conc. 25.0 11.9 40.3 226s -------------------------------------------------------- 226s coleman 20 5 226s Outliers: 8 226s [1] 1 2 6 10 11 12 15 18 226s ------------- 226s 226s Call: 226s CovSde(x = x) 226s -> Method: Stahel-Donoho estimator 226s 226s Robust Estimate of Location: 226s salaryP fatherWc sstatus teacherSc motherLev 226s 2.78 58.64 9.09 25.37 6.69 226s 226s Robust Estimate of Covariance: 226s salaryP fatherWc sstatus teacherSc motherLev 226s salaryP 0.2556 -1.0144 0.6599 0.2673 0.0339 226s fatherWc -1.0144 1615.9192 382.7846 -4.8287 36.0227 226s sstatus 0.6599 382.7846 108.1781 -0.7904 9.1027 226s teacherSc 0.2673 -4.8287 -0.7904 0.9346 -0.0239 226s motherLev 0.0339 36.0227 9.1027 -0.0239 0.9155 226s -------------------------------------------------------- 226s salinity 28 3 226s Outliers: 9 226s [1] 3 4 5 9 11 16 19 23 24 226s ------------- 226s 226s Call: 226s CovSde(x = x) 226s -> Method: Stahel-Donoho estimator 226s 226s Robust Estimate of Location: 226s X1 X2 X3 226s 10.84 3.35 22.48 226s 226s Robust Estimate of Covariance: 226s X1 X2 X3 226s X1 10.75 -1.62 -2.05 226s X2 -1.62 4.21 -1.43 226s X3 -2.05 -1.43 2.63 226s -------------------------------------------------------- 226s wood 20 5 226s Outliers: 11 226s [1] 4 6 7 8 9 10 12 13 16 19 20 226s ------------- 226s 226s Call: 226s CovSde(x = x) 226s -> Method: Stahel-Donoho estimator 226s 226s Robust Estimate of Location: 226s x1 x2 x3 x4 x5 226s 0.573 0.119 0.517 0.549 0.904 226s 226s Robust Estimate of Covariance: 226s x1 x2 x3 x4 x5 226s x1 0.025185 0.004279 -0.001262 -0.000382 -0.001907 226s x2 0.004279 0.001011 0.000197 -0.000117 0.000247 226s x3 -0.001262 0.000197 0.003042 0.002034 0.001773 226s x4 -0.000382 -0.000117 0.002034 0.007943 0.001137 226s x5 -0.001907 0.000247 0.001773 0.001137 0.005392 226s -------------------------------------------------------- 226s hbk 75 3 226s Outliers: 15 226s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 53 226s ------------- 226s 226s Call: 226s CovSde(x = x) 226s -> Method: Stahel-Donoho estimator 226s 226s Robust Estimate of Location: 226s X1 X2 X3 226s 1.59 1.79 1.67 226s 226s Robust Estimate of Covariance: 226s X1 X2 X3 226s X1 1.6354 0.0793 0.2284 226s X2 0.0793 1.6461 0.3186 226s X3 0.2284 0.3186 1.5673 226s -------------------------------------------------------- 226s Animals 28 2 226s Outliers: 13 226s [1] 2 6 7 8 9 12 13 14 15 16 24 25 28 226s ------------- 226s 226s Call: 226s CovSde(x = x) 226s -> Method: Stahel-Donoho estimator 226s 226s Robust Estimate of Location: 226s body brain 226s 18.7 64.9 226s 226s Robust Estimate of Covariance: 226s body brain 226s body 4702 7973 226s brain 7973 28571 226s -------------------------------------------------------- 226s milk 86 8 226s Outliers: 21 226s [1] 1 2 3 6 11 12 13 14 15 16 17 18 20 27 41 44 47 70 74 75 77 226s ------------- 226s 226s Call: 226s CovSde(x = x) 226s -> Method: Stahel-Donoho estimator 226s 226s Robust Estimate of Location: 226s X1 X2 X3 X4 X5 X6 X7 X8 226s 1.03 35.90 33.04 26.11 25.10 25.02 123.06 14.37 226s 226s Robust Estimate of Covariance: 226s X1 X2 X3 X4 X5 X6 X7 226s X1 4.73e-07 6.57e-05 1.79e-04 1.71e-04 1.62e-04 1.42e-04 6.85e-04 226s X2 6.57e-05 1.57e+00 1.36e-01 9.28e-02 4.18e-02 1.30e-01 1.58e+00 226s X3 1.79e-04 1.36e-01 1.12e+00 8.20e-01 8.27e-01 8.00e-01 6.66e-01 226s X4 1.71e-04 9.28e-02 8.20e-01 6.57e-01 6.41e-01 6.18e-01 5.47e-01 226s X5 1.62e-04 4.18e-02 8.27e-01 6.41e-01 6.93e-01 6.44e-01 5.71e-01 226s X6 1.42e-04 1.30e-01 8.00e-01 6.18e-01 6.44e-01 6.44e-01 5.55e-01 226s X7 6.85e-04 1.58e+00 6.66e-01 5.47e-01 5.71e-01 5.55e-01 4.17e+00 226s X8 1.40e-05 2.33e-01 1.74e-01 1.06e-01 9.44e-02 9.86e-02 3.54e-01 226s X8 226s X1 1.40e-05 226s X2 2.33e-01 226s X3 1.74e-01 226s X4 1.06e-01 226s X5 9.44e-02 226s X6 9.86e-02 226s X7 3.54e-01 226s X8 1.57e-01 226s -------------------------------------------------------- 226s bushfire 38 5 226s Outliers: 23 226s [1] 1 5 6 7 8 9 10 11 12 13 15 16 28 29 30 31 32 33 34 35 36 37 38 226s ------------- 226s 226s Call: 226s CovSde(x = x) 226s -> Method: Stahel-Donoho estimator 226s 226s Robust Estimate of Location: 226s V1 V2 V3 V4 V5 226s 105 148 287 223 283 226s 226s Robust Estimate of Covariance: 226s V1 V2 V3 V4 V5 226s V1 1964 1712 -10230 -2504 -2066 226s V2 1712 1526 -8732 -2145 -1763 226s V3 -10230 -8732 56327 13803 11472 226s V4 -2504 -2145 13803 3509 2894 226s V5 -2066 -1763 11472 2894 2404 226s -------------------------------------------------------- 226s bushfire 38 1 226s Outliers: 2 226s [1] 13 30 226s ------------- 226s 226s Call: 226s CovSde(x = x) 226s -> Method: Stahel-Donoho estimator 226s 226s Robust Estimate of Location: 226s V1 226s 98.5 226s 226s Robust Estimate of Covariance: 226s V1 226s V1 431 226s -------------------------------------------------------- 226s bushfire 38 1 226s Outliers: 6 226s [1] 33 34 35 36 37 38 226s ------------- 226s 226s Call: 226s CovSde(x = x) 226s -> Method: Stahel-Donoho estimator 226s 226s Robust Estimate of Location: 226s V2 226s 141 226s 226s Robust Estimate of Covariance: 226s V2 226s V2 528 226s -------------------------------------------------------- 226s bushfire 38 1 226s Outliers: 0 226s ------------- 226s 226s Call: 226s CovSde(x = x) 226s -> Method: Stahel-Donoho estimator 226s 226s Robust Estimate of Location: 226s V3 226s 238 226s 226s Robust Estimate of Covariance: 226s V3 226s V3 37148 226s -------------------------------------------------------- 226s bushfire 38 1 226s Outliers: 9 226s [1] 8 9 32 33 34 35 36 37 38 226s ------------- 226s 226s Call: 226s CovSde(x = x) 226s -> Method: Stahel-Donoho estimator 226s 226s Robust Estimate of Location: 226s V4 226s 210 226s 226s Robust Estimate of Covariance: 226s V4 226s V4 2543 226s -------------------------------------------------------- 226s bushfire 38 1 226s Outliers: 9 226s [1] 8 9 32 33 34 35 36 37 38 226s ------------- 226s 226s Call: 226s CovSde(x = x) 226s -> Method: Stahel-Donoho estimator 226s 226s Robust Estimate of Location: 226s V5 226s 273 226s 226s Robust Estimate of Covariance: 226s V5 226s V5 1575 226s -------------------------------------------------------- 226s ======================================================== 226s > ##doexact() 226s > 226s BEGIN TEST tsest.R 226s 226s R version 4.4.3 (2025-02-28) -- "Trophy Case" 226s Copyright (C) 2025 The R Foundation for Statistical Computing 226s Platform: x86_64-pc-linux-gnu 226s 226s R is free software and comes with ABSOLUTELY NO WARRANTY. 226s You are welcome to redistribute it under certain conditions. 226s Type 'license()' or 'licence()' for distribution details. 226s 226s R is a collaborative project with many contributors. 226s Type 'contributors()' for more information and 226s 'citation()' on how to cite R or R packages in publications. 226s 226s Type 'demo()' for some demos, 'help()' for on-line help, or 226s 'help.start()' for an HTML browser interface to help. 226s Type 'q()' to quit R. 226s 226s > ## VT::15.09.2013 - this will render the output independent 226s > ## from the version of the package 226s > suppressPackageStartupMessages(library(rrcov)) 226s > 226s > library(MASS) 226s > 226s > dodata <- function(nrep = 1, time = FALSE, full = TRUE, method) { 226s + doest <- function(x, xname, nrep = 1, method=c("sfast", "surreal", "bisquare", "rocke", "suser", "MM", "sdet")) { 226s + 226s + method <- match.arg(method) 226s + 226s + lname <- 20 226s + n <- dim(x)[1] 226s + p <- dim(x)[2] 226s + 226s + mm <- if(method == "MM") CovMMest(x) else CovSest(x, method=method) 226s + 226s + crit <- log(mm@crit) 226s + 226s + xres <- sprintf("%3d %3d %12.6f\n", dim(x)[1], dim(x)[2], crit) 226s + lpad <- lname-nchar(xname) 226s + cat(pad.right(xname,lpad), xres) 226s + 226s + dist <- getDistance(mm) 226s + quantiel <- qchisq(0.975, p) 226s + ibad <- which(dist >= quantiel) 226s + names(ibad) <- NULL 226s + nbad <- length(ibad) 226s + cat("Outliers: ",nbad,"\n") 226s + if(nbad > 0) 226s + print(ibad) 226s + cat("-------------\n") 226s + show(mm) 226s + cat("--------------------------------------------------------\n") 226s + } 226s + 226s + options(digits = 5) 226s + set.seed(101) # <<-- sub-sampling algorithm now based on R's RNG and seed 226s + 226s + data(heart) 226s + data(starsCYG) 226s + data(phosphor) 226s + data(stackloss) 226s + data(coleman) 226s + data(salinity) 226s + data(wood) 226s + data(hbk) 226s + 226s + data(Animals, package = "MASS") 226s + brain <- Animals[c(1:24, 26:25, 27:28),] 226s + data(milk) 226s + data(bushfire) 226s + ### 226s + data(rice) 226s + data(hemophilia) 226s + data(fish) 226s + 226s + tmp <- sys.call() 226s + cat("\nCall: ", deparse(substitute(tmp)),"\n") 226s + 226s + cat("Data Set n p LOG(det) Time\n") 226s + cat("===================================================\n") 226s + doest(heart[, 1:2], data(heart), nrep, method=method) 226s + doest(starsCYG, data(starsCYG), nrep, method=method) 226s + doest(data.matrix(subset(phosphor, select = -plant)), data(phosphor), nrep, method=method) 226s + doest(stack.x, data(stackloss), nrep, method=method) 226s + doest(data.matrix(subset(coleman, select = -Y)), data(coleman), nrep, method=method) 226s + doest(data.matrix(subset(salinity, select = -Y)), data(salinity), nrep, method=method) 226s + doest(data.matrix(subset(wood, select = -y)), data(wood), nrep, method=method) 226s + doest(data.matrix(subset(hbk, select = -Y)), data(hbk), nrep, method=method) 226s + 226s + 226s + doest(brain, "Animals", nrep, method=method) 226s + doest(milk, data(milk), nrep, method=method) 226s + doest(bushfire, data(bushfire), nrep, method=method) 226s + 226s + doest(data.matrix(subset(rice, select = -Overall_evaluation)), data(rice), nrep, method=method) 226s + doest(data.matrix(subset(hemophilia, select = -gr)), data(hemophilia), nrep, method=method) 226s + doest(data.matrix(subset(fish, select = -Species)), data(fish), nrep, method=method) 226s + 226s + ## from package 'datasets' 226s + doest(airquality[,1:4], data(airquality), nrep, method=method) 226s + doest(attitude, data(attitude), nrep, method=method) 226s + doest(attenu, data(attenu), nrep, method=method) 226s + doest(USJudgeRatings, data(USJudgeRatings), nrep, method=method) 226s + doest(USArrests, data(USArrests), nrep, method=method) 226s + doest(longley, data(longley), nrep, method=method) 226s + doest(Loblolly, data(Loblolly), nrep, method=method) 226s + doest(quakes[,1:4], data(quakes), nrep, method=method) 226s + 226s + cat("===================================================\n") 226s + } 226s > 226s > # generate contaminated data using the function gendata with different 226s > # number of outliers and check if the M-estimate breaks - i.e. the 226s > # largest eigenvalue is larger than e.g. 5. 226s > # For n=50 and p=10 and d=5 the M-estimate can break for number of 226s > # outliers grater than 20. 226s > dogen <- function(){ 226s + eig <- vector("numeric",26) 226s + for(i in 0:25) { 226s + gg <- gendata(eps=i) 226s + mm <- CovSRocke(gg$x, t0=gg$tgood, S0=gg$sgood) 226s + eig[i+1] <- ev <- getEvals(mm)[1] 226s + cat(i, ev, "\n") 226s + 226s + ## stopifnot(ev < 5 || i > 20) 226s + } 226s + plot(0:25, eig, type="l", xlab="Number of outliers", ylab="Largest Eigenvalue") 226s + } 226s > 226s > # 226s > # generate data 50x10 as multivariate normal N(0,I) and add 226s > # eps % outliers by adding d=5.0 to each component. 226s > # - if eps <0 and eps <=0.5, the number of outliers is eps*n 226s > # - if eps >= 1, it is the number of outliers 226s > # - use the center and cov of the good data as good start 226s > # - use the center and the cov of all data as a bad start 226s > # If using a good start, the M-estimate must iterate to 226s > # the good solution: the largest eigenvalue is less then e.g. 5 226s > # 226s > gendata <- function(n=50, p=10, eps=0, d=5.0){ 226s + 226s + if(eps < 0 || eps > 0.5 && eps < 1.0 || eps > 0.5*n) 226s + stop("eps is out of range") 226s + 226s + library(MASS) 226s + 226s + x <- mvrnorm(n, rep(0,p), diag(p)) 226s + bad <- vector("numeric") 226s + nbad = if(eps < 1) eps*n else eps 226s + if(nbad > 0){ 226s + bad <- sample(n, nbad) 226s + x[bad,] <- x[bad,] + d 226s + } 226s + cov1 <- cov.wt(x) 226s + cov2 <- if(nbad <= 0) cov1 else cov.wt(x[-bad,]) 226s + 226s + list(x=x, bad=sort(bad), tgood=cov2$center, sgood=cov2$cov, tbad=cov1$center, sbad=cov1$cov) 226s + } 226s > 226s > pad.right <- function(z, pads) 226s + { 226s + ## Pads spaces to right of text 226s + padding <- paste(rep(" ", pads), collapse = "") 226s + paste(z, padding, sep = "") 226s + } 226s > 226s > 226s > ## -- now do it: 226s > dodata(method="sfast") 226s 226s Call: dodata(method = "sfast") 226s Data Set n p LOG(det) Time 226s =================================================== 226s heart 12 2 2.017701 226s Outliers: 3 226s [1] 2 6 12 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] 36.1 29.5 226s 226s Robust Estimate of Covariance: 226s height weight 226s height 129 210 226s weight 210 365 226s -------------------------------------------------------- 226s starsCYG 47 2 -1.450032 226s Outliers: 7 226s [1] 7 9 11 14 20 30 34 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] 4.42 4.97 226s 226s Robust Estimate of Covariance: 226s log.Te log.light 226s log.Te 0.0176 0.0617 226s log.light 0.0617 0.3880 226s -------------------------------------------------------- 226s phosphor 18 2 2.320721 226s Outliers: 2 226s [1] 1 6 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] 14.1 38.8 226s 226s Robust Estimate of Covariance: 226s inorg organic 226s inorg 174 190 226s organic 190 268 226s -------------------------------------------------------- 226s stackloss 21 3 1.470031 226s Outliers: 3 226s [1] 1 2 3 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] 57.5 20.5 86.0 226s 226s Robust Estimate of Covariance: 226s Air.Flow Water.Temp Acid.Conc. 226s Air.Flow 38.94 11.66 22.89 226s Water.Temp 11.66 9.96 7.81 226s Acid.Conc. 22.89 7.81 40.48 226s -------------------------------------------------------- 226s coleman 20 5 0.491419 226s Outliers: 2 226s [1] 6 10 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] 2.77 45.58 4.13 25.13 6.39 226s 226s Robust Estimate of Covariance: 226s salaryP fatherWc sstatus teacherSc motherLev 226s salaryP 0.2209 1.9568 1.4389 0.2638 0.0674 226s fatherWc 1.9568 940.7409 307.8297 8.3290 21.9143 226s sstatus 1.4389 307.8297 134.0540 4.1808 7.4799 226s teacherSc 0.2638 8.3290 4.1808 0.7604 0.2917 226s motherLev 0.0674 21.9143 7.4799 0.2917 0.5817 226s -------------------------------------------------------- 226s salinity 28 3 0.734619 226s Outliers: 4 226s [1] 5 16 23 24 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] 10.31 3.07 22.60 226s 226s Robust Estimate of Covariance: 226s X1 X2 X3 226s X1 13.200 0.784 -3.611 226s X2 0.784 4.441 -1.658 226s X3 -3.611 -1.658 2.877 226s -------------------------------------------------------- 226s wood 20 5 -3.202636 226s Outliers: 2 226s [1] 7 9 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] 0.551 0.135 0.496 0.511 0.916 226s 226s Robust Estimate of Covariance: 226s x1 x2 x3 x4 x5 226s x1 0.011361 -0.000791 0.005473 0.004204 -0.004747 226s x2 -0.000791 0.000701 -0.000534 -0.001452 0.000864 226s x3 0.005473 -0.000534 0.004905 0.002960 -0.001914 226s x4 0.004204 -0.001452 0.002960 0.005154 -0.002187 226s x5 -0.004747 0.000864 -0.001914 -0.002187 0.003214 226s -------------------------------------------------------- 226s hbk 75 3 0.283145 226s Outliers: 14 226s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] 1.53 1.83 1.66 226s 226s Robust Estimate of Covariance: 226s X1 X2 X3 226s X1 1.8091 0.0479 0.2446 226s X2 0.0479 1.8190 0.2513 226s X3 0.2446 0.2513 1.7288 226s -------------------------------------------------------- 226s Animals 28 2 4.685129 226s Outliers: 10 226s [1] 2 6 7 9 12 14 15 16 24 25 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] 30.8 84.2 226s 226s Robust Estimate of Covariance: 226s body brain 226s body 14806 28767 226s brain 28767 65195 226s -------------------------------------------------------- 226s milk 86 8 -1.437863 226s Outliers: 15 226s [1] 1 2 3 12 13 14 15 16 17 41 44 47 70 74 75 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] 1.03 35.81 32.97 26.04 25.02 24.94 122.81 14.36 226s 226s Robust Estimate of Covariance: 226s X1 X2 X3 X4 X5 X6 X7 226s X1 8.30e-07 2.53e-04 4.43e-04 4.02e-04 3.92e-04 3.96e-04 1.44e-03 226s X2 2.53e-04 2.24e+00 4.77e-01 3.63e-01 2.91e-01 3.94e-01 2.44e+00 226s X3 4.43e-04 4.77e-01 1.58e+00 1.20e+00 1.18e+00 1.19e+00 1.65e+00 226s X4 4.02e-04 3.63e-01 1.20e+00 9.74e-01 9.37e-01 9.39e-01 1.39e+00 226s X5 3.92e-04 2.91e-01 1.18e+00 9.37e-01 9.78e-01 9.44e-01 1.37e+00 226s X6 3.96e-04 3.94e-01 1.19e+00 9.39e-01 9.44e-01 9.82e-01 1.41e+00 226s X7 1.44e-03 2.44e+00 1.65e+00 1.39e+00 1.37e+00 1.41e+00 6.96e+00 226s X8 7.45e-05 3.33e-01 2.82e-01 2.01e-01 1.80e-01 1.91e-01 6.38e-01 226s X8 226s X1 7.45e-05 226s X2 3.33e-01 226s X3 2.82e-01 226s X4 2.01e-01 226s X5 1.80e-01 226s X6 1.91e-01 226s X7 6.38e-01 226s X8 2.01e-01 226s -------------------------------------------------------- 226s bushfire 38 5 2.443148 226s Outliers: 13 226s [1] 7 8 9 10 11 31 32 33 34 35 36 37 38 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] 108 149 266 216 278 226s 226s Robust Estimate of Covariance: 226s V1 V2 V3 V4 V5 226s V1 911 688 -3961 -856 -707 226s V2 688 587 -2493 -492 -420 226s V3 -3961 -2493 24146 5765 4627 226s V4 -856 -492 5765 1477 1164 226s V5 -707 -420 4627 1164 925 226s -------------------------------------------------------- 226s rice 105 5 -0.724874 226s Outliers: 7 226s [1] 9 40 42 49 57 58 71 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] -0.2472 0.1211 -0.1207 0.0715 0.0640 226s 226s Robust Estimate of Covariance: 226s Favor Appearance Taste Stickiness Toughness 226s Favor 0.423 0.345 0.427 0.405 -0.202 226s Appearance 0.345 0.592 0.570 0.549 -0.316 226s Taste 0.427 0.570 0.739 0.706 -0.393 226s Stickiness 0.405 0.549 0.706 0.876 -0.497 226s Toughness -0.202 -0.316 -0.393 -0.497 0.467 226s -------------------------------------------------------- 226s hemophilia 75 2 -1.868949 226s Outliers: 2 226s [1] 11 36 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] -0.2126 -0.0357 226s 226s Robust Estimate of Covariance: 226s AHFactivity AHFantigen 226s AHFactivity 0.0317 0.0112 226s AHFantigen 0.0112 0.0218 226s -------------------------------------------------------- 226s fish 159 6 1.285876 226s Outliers: 21 226s [1] 61 62 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 226s [20] 103 142 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] 358.3 24.7 26.9 29.7 30.0 14.7 226s 226s Robust Estimate of Covariance: 226s Weight Length1 Length2 Length3 Height Width 226s Weight 1.33e+05 3.09e+03 3.34e+03 3.78e+03 1.72e+03 2.24e+02 226s Length1 3.09e+03 7.92e+01 8.54e+01 9.55e+01 4.04e+01 7.43e+00 226s Length2 3.34e+03 8.54e+01 9.22e+01 1.03e+02 4.49e+01 8.07e+00 226s Length3 3.78e+03 9.55e+01 1.03e+02 1.18e+02 5.92e+01 7.65e+00 226s Height 1.72e+03 4.04e+01 4.49e+01 5.92e+01 7.12e+01 8.51e-01 226s Width 2.24e+02 7.43e+00 8.07e+00 7.65e+00 8.51e-01 3.57e+00 226s -------------------------------------------------------- 226s airquality 153 4 2.684374 226s Outliers: 7 226s [1] 7 14 23 30 34 77 107 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] 39.34 192.12 9.67 78.71 226s 226s Robust Estimate of Covariance: 226s Ozone Solar.R Wind Temp 226s Ozone 973.104 894.011 -61.856 243.560 226s Solar.R 894.011 9677.269 0.388 179.429 226s Wind -61.856 0.388 11.287 -14.310 226s Temp 243.560 179.429 -14.310 96.714 226s -------------------------------------------------------- 226s attitude 30 7 2.091968 226s Outliers: 4 226s [1] 14 16 18 24 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] 65.7 66.8 51.9 56.1 66.4 76.7 43.0 226s 226s Robust Estimate of Covariance: 226s rating complaints privileges learning raises critical advance 226s rating 170.59 136.40 77.41 125.46 99.72 8.01 49.52 226s complaints 136.40 170.94 94.62 136.73 120.76 23.52 78.52 226s privileges 77.41 94.62 150.49 112.77 87.92 6.43 72.33 226s learning 125.46 136.73 112.77 173.77 131.46 25.81 81.38 226s raises 99.72 120.76 87.92 131.46 136.76 29.50 91.70 226s critical 8.01 23.52 6.43 25.81 29.50 84.75 30.59 226s advance 49.52 78.52 72.33 81.38 91.70 30.59 116.28 226s -------------------------------------------------------- 226s attenu 182 5 1.148032 226s Outliers: 31 226s [1] 2 5 6 7 8 9 10 11 15 16 19 20 21 22 23 24 25 27 28 226s [20] 29 30 31 32 64 65 80 94 95 96 97 100 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] 16.432 5.849 60.297 27.144 0.134 226s 226s Robust Estimate of Covariance: 226s event mag station dist accel 226s event 54.9236 -3.0733 181.0954 -49.4194 -0.0628 226s mag -3.0733 0.6530 -8.4388 6.7388 0.0161 226s station 181.0954 -8.4388 1689.7161 -114.6319 0.7285 226s dist -49.4194 6.7388 -114.6319 597.3606 -1.7988 226s accel -0.0628 0.0161 0.7285 -1.7988 0.0152 226s -------------------------------------------------------- 226s USJudgeRatings 43 12 -1.683847 226s Outliers: 7 226s [1] 5 7 12 13 14 23 31 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [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 226s 226s Robust Estimate of Covariance: 226s CONT INTG DMNR DILG CFMG DECI PREP FAMI 226s CONT 0.8710 -0.3019 -0.4682 -0.1893 -0.0569 -0.0992 -0.1771 -0.1975 226s INTG -0.3019 0.6401 0.8598 0.6955 0.5732 0.5439 0.7091 0.7084 226s DMNR -0.4682 0.8598 1.2412 0.9107 0.7668 0.7305 0.9292 0.9158 226s DILG -0.1893 0.6955 0.9107 0.8554 0.7408 0.7036 0.8865 0.8791 226s CFMG -0.0569 0.5732 0.7668 0.7408 0.6994 0.6545 0.7788 0.7721 226s DECI -0.0992 0.5439 0.7305 0.7036 0.6545 0.6342 0.7492 0.7511 226s PREP -0.1771 0.7091 0.9292 0.8865 0.7788 0.7492 0.9541 0.9556 226s FAMI -0.1975 0.7084 0.9158 0.8791 0.7721 0.7511 0.9556 0.9785 226s ORAL -0.2444 0.7453 0.9939 0.8917 0.7842 0.7551 0.9554 0.9680 226s WRIT -0.2344 0.7319 0.9649 0.8853 0.7781 0.7511 0.9498 0.9668 226s PHYS -0.1983 0.4676 0.6263 0.5629 0.5073 0.5039 0.5990 0.6140 226s RTEN -0.3152 0.8000 1.0798 0.9234 0.7952 0.7663 0.9637 0.9693 226s ORAL WRIT PHYS RTEN 226s CONT -0.2444 -0.2344 -0.1983 -0.3152 226s INTG 0.7453 0.7319 0.4676 0.8000 226s DMNR 0.9939 0.9649 0.6263 1.0798 226s DILG 0.8917 0.8853 0.5629 0.9234 226s CFMG 0.7842 0.7781 0.5073 0.7952 226s DECI 0.7551 0.7511 0.5039 0.7663 226s PREP 0.9554 0.9498 0.5990 0.9637 226s FAMI 0.9680 0.9668 0.6140 0.9693 226s ORAL 0.9853 0.9744 0.6280 1.0032 226s WRIT 0.9744 0.9711 0.6184 0.9870 226s PHYS 0.6280 0.6184 0.4716 0.6520 226s RTEN 1.0032 0.9870 0.6520 1.0622 226s -------------------------------------------------------- 226s USArrests 50 4 2.411726 226s Outliers: 4 226s [1] 2 28 33 39 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] 7.05 150.66 64.66 19.37 226s 226s Robust Estimate of Covariance: 226s Murder Assault UrbanPop Rape 226s Murder 23.8 380.8 19.2 29.7 226s Assault 380.8 8436.2 605.6 645.3 226s UrbanPop 19.2 605.6 246.5 78.8 226s Rape 29.7 645.3 78.8 77.3 226s -------------------------------------------------------- 226s longley 16 7 1.038316 226s Outliers: 5 226s [1] 1 2 3 4 5 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] 107.6 440.8 339.7 292.5 121.0 1957.1 67.2 226s 226s Robust Estimate of Covariance: 226s GNP.deflator GNP Unemployed Armed.Forces Population 226s GNP.deflator 100.6 954.7 1147.1 -507.6 74.2 226s GNP 954.7 9430.9 10115.8 -4616.5 730.1 226s Unemployed 1147.1 10115.8 19838.3 -6376.9 850.6 226s Armed.Forces -507.6 -4616.5 -6376.9 3240.2 -351.3 226s Population 74.2 730.1 850.6 -351.3 57.5 226s Year 46.4 450.8 539.5 -233.0 35.3 226s Employed 30.8 310.5 274.0 -160.8 23.3 226s Year Employed 226s GNP.deflator 46.4 30.8 226s GNP 450.8 310.5 226s Unemployed 539.5 274.0 226s Armed.Forces -233.0 -160.8 226s Population 35.3 23.3 226s Year 21.9 14.6 226s Employed 14.6 11.2 226s -------------------------------------------------------- 226s Loblolly 84 3 1.481317 226s Outliers: 14 226s [1] 6 12 18 24 30 36 42 48 54 60 66 72 78 84 226s ------------- 226s 226s Call: 226s CovSest(x = x, method = method) 226s -> Method: S-estimates: S-FAST 226s 226s Robust Estimate of Location: 226s [1] 24.22 9.65 7.50 226s 226s Robust Estimate of Covariance: 226s height age Seed 226s height 525.08 179.21 14.27 226s age 179.21 61.85 2.94 226s Seed 14.27 2.94 25.86 226s -------------------------------------------------------- 227s quakes 1000 4 1.576855 227s Outliers: 223 227s [1] 7 12 15 17 22 25 27 28 32 37 40 41 45 48 53 227s [16] 63 64 73 78 87 91 92 94 99 108 110 117 118 119 120 227s [31] 121 122 126 133 136 141 143 145 148 152 154 155 157 159 160 227s [46] 163 170 192 205 222 226 230 239 243 250 251 252 254 258 263 227s [61] 267 268 271 283 292 300 301 305 311 312 318 320 321 325 328 227s [76] 330 334 352 357 360 365 381 382 384 389 400 402 408 413 416 227s [91] 417 419 426 429 437 441 443 453 456 467 474 477 490 492 496 227s [106] 504 507 508 509 517 524 527 528 531 532 534 536 538 539 541 227s [121] 542 543 544 545 546 547 552 553 560 571 581 583 587 593 594 227s [136] 596 597 605 612 613 618 620 625 629 638 642 647 649 653 655 227s [151] 656 672 675 681 686 699 701 702 712 714 716 721 725 726 735 227s [166] 744 754 756 759 765 766 769 779 781 782 785 787 797 804 813 227s [181] 825 827 837 840 844 852 853 857 860 865 866 869 870 872 873 227s [196] 883 884 887 888 890 891 893 908 909 912 915 916 921 927 930 227s [211] 952 962 963 969 974 980 982 986 987 988 992 997 1000 227s ------------- 227s 227s Call: 227s CovSest(x = x, method = method) 227s -> Method: S-estimates: S-FAST 227s 227s Robust Estimate of Location: 227s [1] -21.54 182.35 369.21 4.54 227s 227s Robust Estimate of Covariance: 227s lat long depth mag 227s lat 2.81e+01 6.19e+00 3.27e+02 -4.56e-01 227s long 6.19e+00 7.54e+00 -5.95e+02 9.56e-02 227s depth 3.27e+02 -5.95e+02 8.36e+04 -2.70e+01 227s mag -4.56e-01 9.56e-02 -2.70e+01 2.35e-01 227s -------------------------------------------------------- 227s =================================================== 227s > dodata(method="sdet") 227s 227s Call: dodata(method = "sdet") 227s Data Set n p LOG(det) Time 227s =================================================== 227s heart 12 2 2.017701 227s Outliers: 3 227s [1] 2 6 12 227s ------------- 227s 227s Call: 227s CovSest(x = x, method = method) 227s -> Method: S-estimates: DET-S 227s 227s Robust Estimate of Location: 227s [1] 36.1 29.5 227s 227s Robust Estimate of Covariance: 227s height weight 227s height 129 210 227s weight 210 365 227s -------------------------------------------------------- 227s starsCYG 47 2 -1.450032 227s Outliers: 7 227s [1] 7 9 11 14 20 30 34 227s ------------- 227s 227s Call: 227s CovSest(x = x, method = method) 227s -> Method: S-estimates: DET-S 227s 227s Robust Estimate of Location: 227s [1] 4.42 4.97 227s 227s Robust Estimate of Covariance: 227s log.Te log.light 227s log.Te 0.0176 0.0617 227s log.light 0.0617 0.3880 227s -------------------------------------------------------- 227s phosphor 18 2 2.320721 227s Outliers: 2 227s [1] 1 6 227s ------------- 227s 227s Call: 227s CovSest(x = x, method = method) 227s -> Method: S-estimates: DET-S 227s 227s Robust Estimate of Location: 227s [1] 14.1 38.8 227s 227s Robust Estimate of Covariance: 227s inorg organic 227s inorg 174 190 227s organic 190 268 227s -------------------------------------------------------- 227s stackloss 21 3 1.470031 227s Outliers: 3 227s [1] 1 2 3 227s ------------- 227s 227s Call: 227s CovSest(x = x, method = method) 227s -> Method: S-estimates: DET-S 227s 227s Robust Estimate of Location: 227s [1] 57.5 20.5 86.0 227s 227s Robust Estimate of Covariance: 227s Air.Flow Water.Temp Acid.Conc. 227s Air.Flow 38.94 11.66 22.89 227s Water.Temp 11.66 9.96 7.81 227s Acid.Conc. 22.89 7.81 40.48 227s -------------------------------------------------------- 227s coleman 20 5 0.491419 227s Outliers: 2 227s [1] 6 10 227s ------------- 227s 227s Call: 227s CovSest(x = x, method = method) 227s -> Method: S-estimates: DET-S 227s 227s Robust Estimate of Location: 227s [1] 2.77 45.58 4.13 25.13 6.39 227s 227s Robust Estimate of Covariance: 227s salaryP fatherWc sstatus teacherSc motherLev 227s salaryP 0.2209 1.9568 1.4389 0.2638 0.0674 227s fatherWc 1.9568 940.7409 307.8297 8.3290 21.9143 227s sstatus 1.4389 307.8297 134.0540 4.1808 7.4799 227s teacherSc 0.2638 8.3290 4.1808 0.7604 0.2917 227s motherLev 0.0674 21.9143 7.4799 0.2917 0.5817 227s -------------------------------------------------------- 227s salinity 28 3 0.734619 227s Outliers: 4 227s [1] 5 16 23 24 227s ------------- 227s 227s Call: 227s CovSest(x = x, method = method) 227s -> Method: S-estimates: DET-S 227s 227s Robust Estimate of Location: 227s [1] 10.31 3.07 22.60 227s 227s Robust Estimate of Covariance: 227s X1 X2 X3 227s X1 13.200 0.784 -3.611 227s X2 0.784 4.441 -1.658 227s X3 -3.611 -1.658 2.877 227s -------------------------------------------------------- 227s wood 20 5 -3.220754 227s Outliers: 4 227s [1] 4 6 8 19 227s ------------- 227s 227s Call: 227s CovSest(x = x, method = method) 227s -> Method: S-estimates: DET-S 227s 227s Robust Estimate of Location: 227s [1] 0.580 0.123 0.530 0.538 0.890 227s 227s Robust Estimate of Covariance: 227s x1 x2 x3 x4 x5 227s x1 8.16e-03 1.39e-03 1.97e-03 -2.82e-04 -7.61e-04 227s x2 1.39e-03 4.00e-04 8.14e-04 -8.51e-05 -5.07e-06 227s x3 1.97e-03 8.14e-04 4.74e-03 -9.59e-04 2.06e-05 227s x4 -2.82e-04 -8.51e-05 -9.59e-04 3.09e-03 1.87e-03 227s x5 -7.61e-04 -5.07e-06 2.06e-05 1.87e-03 2.28e-03 227s -------------------------------------------------------- 227s hbk 75 3 0.283145 227s Outliers: 14 227s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 227s ------------- 227s 227s Call: 227s CovSest(x = x, method = method) 227s -> Method: S-estimates: DET-S 227s 227s Robust Estimate of Location: 227s [1] 1.53 1.83 1.66 227s 227s Robust Estimate of Covariance: 227s X1 X2 X3 227s X1 1.8091 0.0479 0.2446 227s X2 0.0479 1.8190 0.2513 227s X3 0.2446 0.2513 1.7288 227s -------------------------------------------------------- 227s Animals 28 2 4.685129 227s Outliers: 10 227s [1] 2 6 7 9 12 14 15 16 24 25 227s ------------- 227s 227s Call: 227s CovSest(x = x, method = method) 227s -> Method: S-estimates: DET-S 227s 227s Robust Estimate of Location: 227s [1] 30.8 84.2 227s 227s Robust Estimate of Covariance: 227s body brain 227s body 14806 28767 227s brain 28767 65194 227s -------------------------------------------------------- 228s milk 86 8 -1.437863 228s Outliers: 15 228s [1] 1 2 3 12 13 14 15 16 17 41 44 47 70 74 75 228s ------------- 228s 228s Call: 228s CovSest(x = x, method = method) 228s -> Method: S-estimates: DET-S 228s 228s Robust Estimate of Location: 228s [1] 1.03 35.81 32.97 26.04 25.02 24.94 122.81 14.36 228s 228s Robust Estimate of Covariance: 228s X1 X2 X3 X4 X5 X6 X7 228s X1 8.30e-07 2.53e-04 4.43e-04 4.02e-04 3.92e-04 3.96e-04 1.44e-03 228s X2 2.53e-04 2.24e+00 4.77e-01 3.63e-01 2.91e-01 3.94e-01 2.44e+00 228s X3 4.43e-04 4.77e-01 1.58e+00 1.20e+00 1.18e+00 1.19e+00 1.65e+00 228s X4 4.02e-04 3.63e-01 1.20e+00 9.74e-01 9.37e-01 9.39e-01 1.39e+00 228s X5 3.92e-04 2.91e-01 1.18e+00 9.37e-01 9.78e-01 9.44e-01 1.37e+00 228s X6 3.96e-04 3.94e-01 1.19e+00 9.39e-01 9.44e-01 9.82e-01 1.41e+00 228s X7 1.44e-03 2.44e+00 1.65e+00 1.39e+00 1.37e+00 1.41e+00 6.96e+00 228s X8 7.45e-05 3.33e-01 2.82e-01 2.01e-01 1.80e-01 1.91e-01 6.38e-01 228s X8 228s X1 7.45e-05 228s X2 3.33e-01 228s X3 2.82e-01 228s X4 2.01e-01 228s X5 1.80e-01 228s X6 1.91e-01 228s X7 6.38e-01 228s X8 2.01e-01 228s -------------------------------------------------------- 228s bushfire 38 5 2.443148 228s Outliers: 13 228s [1] 7 8 9 10 11 31 32 33 34 35 36 37 38 228s ------------- 228s 228s Call: 228s CovSest(x = x, method = method) 228s -> Method: S-estimates: DET-S 228s 228s Robust Estimate of Location: 228s [1] 108 149 266 216 278 228s 228s Robust Estimate of Covariance: 228s V1 V2 V3 V4 V5 228s V1 911 688 -3961 -856 -707 228s V2 688 587 -2493 -492 -420 228s V3 -3961 -2493 24146 5765 4627 228s V4 -856 -492 5765 1477 1164 228s V5 -707 -420 4627 1164 925 228s -------------------------------------------------------- 228s rice 105 5 -0.724874 228s Outliers: 7 228s [1] 9 40 42 49 57 58 71 228s ------------- 228s 228s Call: 228s CovSest(x = x, method = method) 228s -> Method: S-estimates: DET-S 228s 228s Robust Estimate of Location: 228s [1] -0.2472 0.1211 -0.1207 0.0715 0.0640 228s 228s Robust Estimate of Covariance: 228s Favor Appearance Taste Stickiness Toughness 228s Favor 0.423 0.345 0.427 0.405 -0.202 228s Appearance 0.345 0.592 0.570 0.549 -0.316 228s Taste 0.427 0.570 0.739 0.706 -0.393 228s Stickiness 0.405 0.549 0.706 0.876 -0.497 228s Toughness -0.202 -0.316 -0.393 -0.497 0.467 228s -------------------------------------------------------- 228s hemophilia 75 2 -1.868949 228s Outliers: 2 228s [1] 11 36 228s ------------- 228s 228s Call: 228s CovSest(x = x, method = method) 228s -> Method: S-estimates: DET-S 228s 228s Robust Estimate of Location: 228s [1] -0.2126 -0.0357 228s 228s Robust Estimate of Covariance: 228s AHFactivity AHFantigen 228s AHFactivity 0.0317 0.0112 228s AHFantigen 0.0112 0.0218 228s -------------------------------------------------------- 229s fish 159 6 1.267294 229s Outliers: 33 229s [1] 61 72 73 74 75 76 77 78 79 80 81 82 83 85 86 87 88 89 90 229s [20] 91 92 93 94 95 96 97 98 99 100 101 102 103 142 229s ------------- 229s 229s Call: 229s CovSest(x = x, method = method) 229s -> Method: S-estimates: DET-S 229s 229s Robust Estimate of Location: 229s [1] 381.2 25.6 27.8 30.8 31.0 14.9 229s 229s Robust Estimate of Covariance: 229s Weight Length1 Length2 Length3 Height Width 229s Weight 148372.04 3260.48 3508.71 3976.93 1507.43 127.94 229s Length1 3260.48 77.00 82.52 92.18 27.56 3.29 229s Length2 3508.71 82.52 88.57 99.20 30.83 3.43 229s Length3 3976.93 92.18 99.20 113.97 45.50 2.21 229s Height 1507.43 27.56 30.83 45.50 70.54 -4.95 229s Width 127.94 3.29 3.43 2.21 -4.95 2.28 229s -------------------------------------------------------- 229s airquality 153 4 2.684374 229s Outliers: 7 229s [1] 7 14 23 30 34 77 107 229s ------------- 229s 229s Call: 229s CovSest(x = x, method = method) 229s -> Method: S-estimates: DET-S 229s 229s Robust Estimate of Location: 229s [1] 39.34 192.12 9.67 78.71 229s 229s Robust Estimate of Covariance: 229s Ozone Solar.R Wind Temp 229s Ozone 973.104 894.011 -61.856 243.560 229s Solar.R 894.011 9677.269 0.388 179.429 229s Wind -61.856 0.388 11.287 -14.310 229s Temp 243.560 179.429 -14.310 96.714 229s -------------------------------------------------------- 229s attitude 30 7 2.091968 229s Outliers: 4 229s [1] 14 16 18 24 229s ------------- 229s 229s Call: 229s CovSest(x = x, method = method) 229s -> Method: S-estimates: DET-S 229s 229s Robust Estimate of Location: 229s [1] 65.7 66.8 51.9 56.1 66.4 76.7 43.0 229s 229s Robust Estimate of Covariance: 229s rating complaints privileges learning raises critical advance 229s rating 170.59 136.40 77.41 125.46 99.72 8.01 49.52 229s complaints 136.40 170.94 94.62 136.73 120.76 23.52 78.52 229s privileges 77.41 94.62 150.49 112.77 87.92 6.43 72.33 229s learning 125.46 136.73 112.77 173.77 131.46 25.81 81.38 229s raises 99.72 120.76 87.92 131.46 136.76 29.50 91.70 229s critical 8.01 23.52 6.43 25.81 29.50 84.75 30.59 229s advance 49.52 78.52 72.33 81.38 91.70 30.59 116.28 229s -------------------------------------------------------- 229s attenu 182 5 1.148032 229s Outliers: 31 229s [1] 2 5 6 7 8 9 10 11 15 16 19 20 21 22 23 24 25 27 28 229s [20] 29 30 31 32 64 65 80 94 95 96 97 100 229s ------------- 229s 229s Call: 229s CovSest(x = x, method = method) 229s -> Method: S-estimates: DET-S 229s 229s Robust Estimate of Location: 229s [1] 16.432 5.849 60.297 27.144 0.134 229s 229s Robust Estimate of Covariance: 229s event mag station dist accel 229s event 54.9236 -3.0733 181.0954 -49.4195 -0.0628 229s mag -3.0733 0.6530 -8.4388 6.7388 0.0161 229s station 181.0954 -8.4388 1689.7161 -114.6321 0.7285 229s dist -49.4195 6.7388 -114.6321 597.3609 -1.7988 229s accel -0.0628 0.0161 0.7285 -1.7988 0.0152 229s -------------------------------------------------------- 229s USJudgeRatings 43 12 -1.683847 229s Outliers: 7 229s [1] 5 7 12 13 14 23 31 229s ------------- 229s 229s Call: 229s CovSest(x = x, method = method) 229s -> Method: S-estimates: DET-S 229s 229s Robust Estimate of Location: 229s [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 229s 229s Robust Estimate of Covariance: 229s CONT INTG DMNR DILG CFMG DECI PREP FAMI 229s CONT 0.8715 -0.3020 -0.4683 -0.1894 -0.0569 -0.0993 -0.1772 -0.1976 229s INTG -0.3020 0.6403 0.8600 0.6956 0.5733 0.5440 0.7093 0.7086 229s DMNR -0.4683 0.8600 1.2416 0.9109 0.7669 0.7307 0.9295 0.9161 229s DILG -0.1894 0.6956 0.9109 0.8555 0.7410 0.7037 0.8867 0.8793 229s CFMG -0.0569 0.5733 0.7669 0.7410 0.6995 0.6546 0.7789 0.7723 229s DECI -0.0993 0.5440 0.7307 0.7037 0.6546 0.6343 0.7493 0.7513 229s PREP -0.1772 0.7093 0.9295 0.8867 0.7789 0.7493 0.9543 0.9559 229s FAMI -0.1976 0.7086 0.9161 0.8793 0.7723 0.7513 0.9559 0.9788 229s ORAL -0.2445 0.7456 0.9942 0.8919 0.7844 0.7553 0.9557 0.9683 229s WRIT -0.2345 0.7321 0.9652 0.8856 0.7783 0.7513 0.9501 0.9671 229s PHYS -0.1986 0.4676 0.6264 0.5628 0.5072 0.5038 0.5990 0.6140 229s RTEN -0.3154 0.8002 1.0801 0.9236 0.7954 0.7665 0.9639 0.9695 229s ORAL WRIT PHYS RTEN 229s CONT -0.2445 -0.2345 -0.1986 -0.3154 229s INTG 0.7456 0.7321 0.4676 0.8002 229s DMNR 0.9942 0.9652 0.6264 1.0801 229s DILG 0.8919 0.8856 0.5628 0.9236 229s CFMG 0.7844 0.7783 0.5072 0.7954 229s DECI 0.7553 0.7513 0.5038 0.7665 229s PREP 0.9557 0.9501 0.5990 0.9639 229s FAMI 0.9683 0.9671 0.6140 0.9695 229s ORAL 0.9856 0.9748 0.6281 1.0035 229s WRIT 0.9748 0.9714 0.6184 0.9873 229s PHYS 0.6281 0.6184 0.4713 0.6520 229s RTEN 1.0035 0.9873 0.6520 1.0624 229s -------------------------------------------------------- 229s USArrests 50 4 2.411726 229s Outliers: 4 229s [1] 2 28 33 39 229s ------------- 229s 229s Call: 229s CovSest(x = x, method = method) 229s -> Method: S-estimates: DET-S 229s 229s Robust Estimate of Location: 229s [1] 7.05 150.66 64.66 19.37 229s 229s Robust Estimate of Covariance: 229s Murder Assault UrbanPop Rape 229s Murder 23.8 380.8 19.2 29.7 229s Assault 380.8 8436.2 605.6 645.3 229s UrbanPop 19.2 605.6 246.5 78.8 229s Rape 29.7 645.3 78.8 77.3 229s -------------------------------------------------------- 230s longley 16 7 1.143113 230s Outliers: 4 230s [1] 1 2 3 4 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: DET-S 230s 230s Robust Estimate of Location: 230s [1] 107 435 334 293 120 1957 67 230s 230s Robust Estimate of Covariance: 230s GNP.deflator GNP Unemployed Armed.Forces Population 230s GNP.deflator 89.2 850.1 1007.4 -404.4 66.2 230s GNP 850.1 8384.4 9020.8 -3692.0 650.5 230s Unemployed 1007.4 9020.8 16585.4 -4990.7 752.5 230s Armed.Forces -404.4 -3692.0 -4990.7 2474.2 -280.9 230s Population 66.2 650.5 752.5 -280.9 51.2 230s Year 41.9 407.6 481.9 -186.4 31.9 230s Employed 27.9 279.7 255.6 -128.8 21.1 230s Year Employed 230s GNP.deflator 41.9 27.9 230s GNP 407.6 279.7 230s Unemployed 481.9 255.6 230s Armed.Forces -186.4 -128.8 230s Population 31.9 21.1 230s Year 20.2 13.4 230s Employed 13.4 10.1 230s -------------------------------------------------------- 230s Loblolly 84 3 1.481317 230s Outliers: 14 230s [1] 6 12 18 24 30 36 42 48 54 60 66 72 78 84 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: DET-S 230s 230s Robust Estimate of Location: 230s [1] 24.22 9.65 7.50 230s 230s Robust Estimate of Covariance: 230s height age Seed 230s height 525.08 179.21 14.27 230s age 179.21 61.85 2.94 230s Seed 14.27 2.94 25.86 230s -------------------------------------------------------- 230s quakes 1000 4 1.576855 230s Outliers: 223 230s [1] 7 12 15 17 22 25 27 28 32 37 40 41 45 48 53 230s [16] 63 64 73 78 87 91 92 94 99 108 110 117 118 119 120 230s [31] 121 122 126 133 136 141 143 145 148 152 154 155 157 159 160 230s [46] 163 170 192 205 222 226 230 239 243 250 251 252 254 258 263 230s [61] 267 268 271 283 292 300 301 305 311 312 318 320 321 325 328 230s [76] 330 334 352 357 360 365 381 382 384 389 400 402 408 413 416 230s [91] 417 419 426 429 437 441 443 453 456 467 474 477 490 492 496 230s [106] 504 507 508 509 517 524 527 528 531 532 534 536 538 539 541 230s [121] 542 543 544 545 546 547 552 553 560 571 581 583 587 593 594 230s [136] 596 597 605 612 613 618 620 625 629 638 642 647 649 653 655 230s [151] 656 672 675 681 686 699 701 702 712 714 716 721 725 726 735 230s [166] 744 754 756 759 765 766 769 779 781 782 785 787 797 804 813 230s [181] 825 827 837 840 844 852 853 857 860 865 866 869 870 872 873 230s [196] 883 884 887 888 890 891 893 908 909 912 915 916 921 927 930 230s [211] 952 962 963 969 974 980 982 986 987 988 992 997 1000 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: DET-S 230s 230s Robust Estimate of Location: 230s [1] -21.54 182.35 369.21 4.54 230s 230s Robust Estimate of Covariance: 230s lat long depth mag 230s lat 2.81e+01 6.19e+00 3.27e+02 -4.56e-01 230s long 6.19e+00 7.54e+00 -5.95e+02 9.56e-02 230s depth 3.27e+02 -5.95e+02 8.36e+04 -2.70e+01 230s mag -4.56e-01 9.56e-02 -2.70e+01 2.35e-01 230s -------------------------------------------------------- 230s =================================================== 230s > ##dodata(method="suser") 230s > ##dodata(method="surreal") 230s > dodata(method="bisquare") 230s 230s Call: dodata(method = "bisquare") 230s Data Set n p LOG(det) Time 230s =================================================== 230s heart 12 2 7.721793 230s Outliers: 3 230s [1] 2 6 12 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s height weight 230s 36.1 29.4 230s 230s Robust Estimate of Covariance: 230s height weight 230s height 109 177 230s weight 177 307 230s -------------------------------------------------------- 230s starsCYG 47 2 -5.942108 230s Outliers: 7 230s [1] 7 9 11 14 20 30 34 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s log.Te log.light 230s 4.42 4.97 230s 230s Robust Estimate of Covariance: 230s log.Te log.light 230s log.Te 0.0164 0.0574 230s log.light 0.0574 0.3613 230s -------------------------------------------------------- 230s phosphor 18 2 9.269096 230s Outliers: 2 230s [1] 1 6 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s inorg organic 230s 14.1 38.7 230s 230s Robust Estimate of Covariance: 230s inorg organic 230s inorg 173 189 230s organic 189 268 230s -------------------------------------------------------- 230s stackloss 21 3 8.411100 230s Outliers: 3 230s [1] 1 2 3 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s Air.Flow Water.Temp Acid.Conc. 230s 57.5 20.5 86.0 230s 230s Robust Estimate of Covariance: 230s Air.Flow Water.Temp Acid.Conc. 230s Air.Flow 33.82 10.17 20.02 230s Water.Temp 10.17 8.70 6.84 230s Acid.Conc. 20.02 6.84 35.51 230s -------------------------------------------------------- 230s coleman 20 5 4.722046 230s Outliers: 2 230s [1] 6 10 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s salaryP fatherWc sstatus teacherSc motherLev 230s 2.77 45.59 4.14 25.13 6.39 230s 230s Robust Estimate of Covariance: 230s salaryP fatherWc sstatus teacherSc motherLev 230s salaryP 0.2135 1.8732 1.3883 0.2547 0.0648 230s fatherWc 1.8732 905.6704 296.1916 7.9820 21.0848 230s sstatus 1.3883 296.1916 128.9536 4.0196 7.1917 230s teacherSc 0.2547 7.9820 4.0196 0.7321 0.2799 230s motherLev 0.0648 21.0848 7.1917 0.2799 0.5592 230s -------------------------------------------------------- 230s salinity 28 3 4.169963 230s Outliers: 4 230s [1] 5 16 23 24 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s X1 X2 X3 230s 10.30 3.07 22.59 230s 230s Robust Estimate of Covariance: 230s X1 X2 X3 230s X1 12.234 0.748 -3.369 230s X2 0.748 4.115 -1.524 230s X3 -3.369 -1.524 2.655 230s -------------------------------------------------------- 230s wood 20 5 -33.862485 230s Outliers: 5 230s [1] 4 6 8 11 19 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s x1 x2 x3 x4 x5 230s 0.580 0.123 0.530 0.538 0.890 230s 230s Robust Estimate of Covariance: 230s x1 x2 x3 x4 x5 230s x1 5.88e-03 9.96e-04 1.43e-03 -1.96e-04 -5.46e-04 230s x2 9.96e-04 2.86e-04 5.89e-04 -5.78e-05 -2.24e-06 230s x3 1.43e-03 5.89e-04 3.42e-03 -6.95e-04 1.43e-05 230s x4 -1.96e-04 -5.78e-05 -6.95e-04 2.23e-03 1.35e-03 230s x5 -5.46e-04 -2.24e-06 1.43e-05 1.35e-03 1.65e-03 230s -------------------------------------------------------- 230s hbk 75 3 1.472421 230s Outliers: 14 230s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s X1 X2 X3 230s 1.53 1.83 1.66 230s 230s Robust Estimate of Covariance: 230s X1 X2 X3 230s X1 1.6775 0.0447 0.2268 230s X2 0.0447 1.6865 0.2325 230s X3 0.2268 0.2325 1.6032 230s -------------------------------------------------------- 230s Animals 28 2 18.528307 230s Outliers: 11 230s [1] 2 6 7 9 12 14 15 16 24 25 28 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s body brain 230s 30.7 84.1 230s 230s Robust Estimate of Covariance: 230s body brain 230s body 13278 25795 230s brain 25795 58499 230s -------------------------------------------------------- 230s milk 86 8 -24.816943 230s Outliers: 19 230s [1] 1 2 3 11 12 13 14 15 16 17 20 27 41 44 47 70 74 75 77 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s X1 X2 X3 X4 X5 X6 X7 X8 230s 1.03 35.81 32.96 26.04 25.02 24.94 122.79 14.35 230s 230s Robust Estimate of Covariance: 230s X1 X2 X3 X4 X5 X6 X7 230s X1 6.80e-07 2.20e-04 3.70e-04 3.35e-04 3.27e-04 3.30e-04 1.21e-03 230s X2 2.20e-04 1.80e+00 3.96e-01 3.03e-01 2.45e-01 3.27e-01 2.00e+00 230s X3 3.70e-04 3.96e-01 1.27e+00 9.68e-01 9.49e-01 9.56e-01 1.37e+00 230s X4 3.35e-04 3.03e-01 9.68e-01 7.86e-01 7.55e-01 7.57e-01 1.15e+00 230s X5 3.27e-04 2.45e-01 9.49e-01 7.55e-01 7.88e-01 7.61e-01 1.14e+00 230s X6 3.30e-04 3.27e-01 9.56e-01 7.57e-01 7.61e-01 7.90e-01 1.17e+00 230s X7 1.21e-03 2.00e+00 1.37e+00 1.15e+00 1.14e+00 1.17e+00 5.71e+00 230s X8 6.57e-05 2.71e-01 2.30e-01 1.64e-01 1.48e-01 1.57e-01 5.27e-01 230s X8 230s X1 6.57e-05 230s X2 2.71e-01 230s X3 2.30e-01 230s X4 1.64e-01 230s X5 1.48e-01 230s X6 1.57e-01 230s X7 5.27e-01 230s X8 1.62e-01 230s -------------------------------------------------------- 230s bushfire 38 5 21.704243 230s Outliers: 13 230s [1] 7 8 9 10 11 31 32 33 34 35 36 37 38 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s V1 V2 V3 V4 V5 230s 108 149 266 216 278 230s 230s Robust Estimate of Covariance: 230s V1 V2 V3 V4 V5 230s V1 528 398 -2298 -497 -410 230s V2 398 340 -1445 -285 -244 230s V3 -2298 -1445 14026 3348 2687 230s V4 -497 -285 3348 857 676 230s V5 -410 -244 2687 676 537 230s -------------------------------------------------------- 230s rice 105 5 -7.346939 230s Outliers: 8 230s [1] 9 14 40 42 49 57 58 71 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s Favor Appearance Taste Stickiness Toughness 230s -0.2480 0.1203 -0.1213 0.0710 0.0644 230s 230s Robust Estimate of Covariance: 230s Favor Appearance Taste Stickiness Toughness 230s Favor 0.415 0.338 0.419 0.398 -0.198 230s Appearance 0.338 0.580 0.559 0.539 -0.310 230s Taste 0.419 0.559 0.725 0.693 -0.386 230s Stickiness 0.398 0.539 0.693 0.859 -0.487 230s Toughness -0.198 -0.310 -0.386 -0.487 0.457 230s -------------------------------------------------------- 230s hemophilia 75 2 -7.465173 230s Outliers: 2 230s [1] 11 36 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s AHFactivity AHFantigen 230s -0.2128 -0.0366 230s 230s Robust Estimate of Covariance: 230s AHFactivity AHFantigen 230s AHFactivity 0.0321 0.0115 230s AHFantigen 0.0115 0.0220 230s -------------------------------------------------------- 230s fish 159 6 13.465134 230s Outliers: 35 230s [1] 38 61 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 230s [20] 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 142 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s Weight Length1 Length2 Length3 Height Width 230s 381.4 25.6 27.8 30.8 31.0 14.9 230s 230s Robust Estimate of Covariance: 230s Weight Length1 Length2 Length3 Height Width 230s Weight 111094.92 2440.81 2626.59 2976.92 1129.78 95.85 230s Length1 2440.81 57.63 61.75 68.98 20.67 2.46 230s Length2 2626.59 61.75 66.28 74.24 23.13 2.57 230s Length3 2976.92 68.98 74.24 85.29 34.11 1.65 230s Height 1129.78 20.67 23.13 34.11 52.75 -3.70 230s Width 95.85 2.46 2.57 1.65 -3.70 1.71 230s -------------------------------------------------------- 230s airquality 153 4 21.282926 230s Outliers: 8 230s [1] 7 11 14 23 30 34 77 107 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s Ozone Solar.R Wind Temp 230s 39.40 192.29 9.66 78.74 230s 230s Robust Estimate of Covariance: 230s Ozone Solar.R Wind Temp 230s Ozone 930.566 849.644 -59.157 232.459 230s Solar.R 849.644 9207.569 0.594 168.122 230s Wind -59.157 0.594 10.783 -13.645 230s Temp 232.459 168.122 -13.645 92.048 230s -------------------------------------------------------- 230s attitude 30 7 28.084183 230s Outliers: 6 230s [1] 6 9 14 16 18 24 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s rating complaints privileges learning raises critical 230s 65.7 66.8 51.9 56.1 66.4 76.7 230s advance 230s 43.0 230s 230s Robust Estimate of Covariance: 230s rating complaints privileges learning raises critical advance 230s rating 143.88 114.95 64.97 105.69 83.95 6.96 41.78 230s complaints 114.95 143.84 79.28 115.00 101.48 19.69 66.13 230s privileges 64.97 79.28 126.38 94.70 73.87 5.37 61.07 230s learning 105.69 115.00 94.70 146.14 110.50 21.67 68.49 230s raises 83.95 101.48 73.87 110.50 115.01 24.91 77.16 230s critical 6.96 19.69 5.37 21.67 24.91 71.74 25.88 230s advance 41.78 66.13 61.07 68.49 77.16 25.88 97.71 230s -------------------------------------------------------- 230s attenu 182 5 10.109049 230s Outliers: 35 230s [1] 2 4 5 6 7 8 9 10 11 15 16 19 20 21 22 23 24 25 27 230s [20] 28 29 30 31 32 64 65 80 93 94 95 96 97 98 99 100 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s event mag station dist accel 230s 16.418 5.850 60.243 27.307 0.134 230s 230s Robust Estimate of Covariance: 230s event mag station dist accel 230s event 41.9000 -2.3543 137.8110 -39.0321 -0.0447 230s mag -2.3543 0.4978 -6.4461 5.2644 0.0118 230s station 137.8110 -6.4461 1283.9675 -90.1657 0.5554 230s dist -39.0321 5.2644 -90.1657 462.3898 -1.3672 230s accel -0.0447 0.0118 0.5554 -1.3672 0.0114 230s -------------------------------------------------------- 230s USJudgeRatings 43 12 -43.367499 230s Outliers: 10 230s [1] 5 7 8 12 13 14 20 23 31 35 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s CONT INTG DMNR DILG CFMG DECI PREP FAMI ORAL WRIT PHYS RTEN 230s 7.43 8.16 7.75 7.89 7.69 7.76 7.68 7.67 7.52 7.59 8.19 7.87 230s 230s Robust Estimate of Covariance: 230s CONT INTG DMNR DILG CFMG DECI PREP FAMI 230s CONT 0.6895 -0.2399 -0.3728 -0.1514 -0.0461 -0.0801 -0.1419 -0.1577 230s INTG -0.2399 0.5021 0.6746 0.5446 0.4479 0.4254 0.5564 0.5558 230s DMNR -0.3728 0.6746 0.9753 0.7128 0.5992 0.5715 0.7289 0.7181 230s DILG -0.1514 0.5446 0.7128 0.6691 0.5789 0.5501 0.6949 0.6892 230s CFMG -0.0461 0.4479 0.5992 0.5789 0.5468 0.5118 0.6100 0.6049 230s DECI -0.0801 0.4254 0.5715 0.5501 0.5118 0.4965 0.5872 0.5890 230s PREP -0.1419 0.5564 0.7289 0.6949 0.6100 0.5872 0.7497 0.7511 230s FAMI -0.1577 0.5558 0.7181 0.6892 0.6049 0.5890 0.7511 0.7696 230s ORAL -0.1950 0.5848 0.7798 0.6990 0.6143 0.5921 0.7508 0.7610 230s WRIT -0.1866 0.5747 0.7575 0.6946 0.6101 0.5895 0.7470 0.7607 230s PHYS -0.1620 0.3640 0.4878 0.4361 0.3927 0.3910 0.4655 0.4779 230s RTEN -0.2522 0.6268 0.8462 0.7220 0.6210 0.5991 0.7553 0.7599 230s ORAL WRIT PHYS RTEN 230s CONT -0.1950 -0.1866 -0.1620 -0.2522 230s INTG 0.5848 0.5747 0.3640 0.6268 230s DMNR 0.7798 0.7575 0.4878 0.8462 230s DILG 0.6990 0.6946 0.4361 0.7220 230s CFMG 0.6143 0.6101 0.3927 0.6210 230s DECI 0.5921 0.5895 0.3910 0.5991 230s PREP 0.7508 0.7470 0.4655 0.7553 230s FAMI 0.7610 0.7607 0.4779 0.7599 230s ORAL 0.7745 0.7665 0.4893 0.7866 230s WRIT 0.7665 0.7645 0.4823 0.7745 230s PHYS 0.4893 0.4823 0.3620 0.5062 230s RTEN 0.7866 0.7745 0.5062 0.8313 230s -------------------------------------------------------- 230s USArrests 50 4 19.266763 230s Outliers: 4 230s [1] 2 28 33 39 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s Murder Assault UrbanPop Rape 230s 7.04 150.55 64.64 19.34 230s 230s Robust Estimate of Covariance: 230s Murder Assault UrbanPop Rape 230s Murder 23.7 378.9 19.1 29.5 230s Assault 378.9 8388.2 601.3 639.7 230s UrbanPop 19.1 601.3 245.3 77.9 230s Rape 29.5 639.7 77.9 76.3 230s -------------------------------------------------------- 230s longley 16 7 13.789499 230s Outliers: 4 230s [1] 1 2 3 4 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s GNP.deflator GNP Unemployed Armed.Forces Population 230s 107 435 333 293 120 230s Year Employed 230s 1957 67 230s 230s Robust Estimate of Covariance: 230s GNP.deflator GNP Unemployed Armed.Forces Population 230s GNP.deflator 65.05 619.75 734.33 -294.02 48.27 230s GNP 619.75 6112.14 6578.12 -2684.52 474.26 230s Unemployed 734.33 6578.12 12075.90 -3627.79 548.58 230s Armed.Forces -294.02 -2684.52 -3627.79 1797.05 -204.25 230s Population 48.27 474.26 548.58 -204.25 37.36 230s Year 30.58 297.29 351.44 -135.53 23.29 230s Employed 20.36 203.96 186.62 -93.64 15.42 230s Year Employed 230s GNP.deflator 30.58 20.36 230s GNP 297.29 203.96 230s Unemployed 351.44 186.62 230s Armed.Forces -135.53 -93.64 230s Population 23.29 15.42 230s Year 14.70 9.80 230s Employed 9.80 7.36 230s -------------------------------------------------------- 230s Loblolly 84 3 8.518440 230s Outliers: 14 230s [1] 6 12 18 24 30 36 42 48 54 60 66 72 78 84 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s height age Seed 230s 24.14 9.62 7.51 230s 230s Robust Estimate of Covariance: 230s height age Seed 230s height 464.64 158.43 12.83 230s age 158.43 54.62 2.67 230s Seed 12.83 2.67 22.98 230s -------------------------------------------------------- 230s quakes 1000 4 11.611413 230s Outliers: 234 230s [1] 7 12 15 17 22 25 27 28 32 37 40 41 45 48 53 230s [16] 63 64 73 78 87 91 92 94 99 108 110 117 118 119 120 230s [31] 121 122 126 133 136 141 143 145 148 152 154 155 157 159 160 230s [46] 163 166 170 174 192 205 222 226 230 239 243 250 251 252 254 230s [61] 258 263 267 268 271 283 292 297 300 301 305 311 312 318 320 230s [76] 321 325 328 330 331 334 352 357 360 365 368 376 381 382 384 230s [91] 389 399 400 402 408 413 416 417 418 419 426 429 437 441 443 230s [106] 453 456 467 474 477 490 492 496 504 507 508 509 517 524 527 230s [121] 528 531 532 534 536 538 539 541 542 543 544 545 546 547 552 230s [136] 553 558 560 570 571 581 583 587 593 594 596 597 605 612 613 230s [151] 618 620 625 629 638 642 647 649 653 655 656 672 675 681 686 230s [166] 699 701 702 712 714 716 721 725 726 735 744 753 754 756 759 230s [181] 765 766 769 779 781 782 785 787 797 804 813 825 827 837 840 230s [196] 844 852 853 857 860 865 866 869 870 872 873 883 884 887 888 230s [211] 890 891 893 908 909 912 915 916 921 927 930 952 962 963 969 230s [226] 974 980 982 986 987 988 992 997 1000 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: bisquare 230s 230s Robust Estimate of Location: 230s lat long depth mag 230s -21.54 182.35 369.29 4.54 230s 230s Robust Estimate of Covariance: 230s lat long depth mag 230s lat 2.18e+01 4.82e+00 2.53e+02 -3.54e-01 230s long 4.82e+00 5.87e+00 -4.63e+02 7.45e-02 230s depth 2.53e+02 -4.63e+02 6.51e+04 -2.10e+01 230s mag -3.54e-01 7.45e-02 -2.10e+01 1.83e-01 230s -------------------------------------------------------- 230s =================================================== 230s > dodata(method="rocke") 230s 230s Call: dodata(method = "rocke") 230s Data Set n p LOG(det) Time 230s =================================================== 230s heart 12 2 7.285196 230s Outliers: 3 230s [1] 2 6 12 230s ------------- 230s 230s Call: 230s CovSest(x = x, method = method) 230s -> Method: S-estimates: Rocke type 230s 230s Robust Estimate of Location: 230s height weight 230s 34.3 26.1 230s 230s Robust Estimate of Covariance: 230s height weight 230s height 105 159 230s weight 159 256 230s -------------------------------------------------------- 231s starsCYG 47 2 -5.929361 231s Outliers: 7 231s [1] 7 9 11 14 20 30 34 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s log.Te log.light 231s 4.42 4.93 231s 231s Robust Estimate of Covariance: 231s log.Te log.light 231s log.Te 0.0193 0.0709 231s log.light 0.0709 0.3987 231s -------------------------------------------------------- 231s phosphor 18 2 8.907518 231s Outliers: 3 231s [1] 1 6 10 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s inorg organic 231s 15.8 39.4 231s 231s Robust Estimate of Covariance: 231s inorg organic 231s inorg 196 252 231s organic 252 360 231s -------------------------------------------------------- 231s stackloss 21 3 8.143313 231s Outliers: 4 231s [1] 1 2 3 21 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s Air.Flow Water.Temp Acid.Conc. 231s 56.8 20.2 86.4 231s 231s Robust Estimate of Covariance: 231s Air.Flow Water.Temp Acid.Conc. 231s Air.Flow 29.26 9.62 14.78 231s Water.Temp 9.62 8.54 6.25 231s Acid.Conc. 14.78 6.25 29.70 231s -------------------------------------------------------- 231s coleman 20 5 4.001659 231s Outliers: 5 231s [1] 2 6 9 10 13 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s salaryP fatherWc sstatus teacherSc motherLev 231s 2.81 40.27 2.11 25.01 6.27 231s 231s Robust Estimate of Covariance: 231s salaryP fatherWc sstatus teacherSc motherLev 231s salaryP 0.2850 1.1473 2.0254 0.3536 0.0737 231s fatherWc 1.1473 798.0714 278.0145 6.4590 18.6357 231s sstatus 2.0254 278.0145 128.7601 4.0666 6.3845 231s teacherSc 0.3536 6.4590 4.0666 0.8749 0.2980 231s motherLev 0.0737 18.6357 6.3845 0.2980 0.4948 231s -------------------------------------------------------- 231s salinity 28 3 3.455146 231s Outliers: 9 231s [1] 3 5 10 11 15 16 17 23 24 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s X1 X2 X3 231s 9.89 3.10 22.46 231s 231s Robust Estimate of Covariance: 231s X1 X2 X3 231s X1 12.710 1.868 -4.135 231s X2 1.868 4.710 -0.663 231s X3 -4.135 -0.663 1.907 231s -------------------------------------------------------- 231s wood 20 5 -35.020244 231s Outliers: 7 231s [1] 4 6 7 8 11 16 19 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s x1 x2 x3 x4 x5 231s 0.588 0.123 0.534 0.535 0.891 231s 231s Robust Estimate of Covariance: 231s x1 x2 x3 x4 x5 231s x1 6.60e-03 1.25e-03 2.16e-03 -3.73e-04 -1.10e-03 231s x2 1.25e-03 3.30e-04 8.91e-04 -1.23e-05 2.62e-05 231s x3 2.16e-03 8.91e-04 4.55e-03 -4.90e-04 1.93e-04 231s x4 -3.73e-04 -1.23e-05 -4.90e-04 2.01e-03 1.36e-03 231s x5 -1.10e-03 2.62e-05 1.93e-04 1.36e-03 1.95e-03 231s -------------------------------------------------------- 231s hbk 75 3 1.413303 231s Outliers: 14 231s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s X1 X2 X3 231s 1.56 1.77 1.68 231s 231s Robust Estimate of Covariance: 231s X1 X2 X3 231s X1 1.6483 0.0825 0.2133 231s X2 0.0825 1.6928 0.2334 231s X3 0.2133 0.2334 1.5334 231s -------------------------------------------------------- 231s Animals 28 2 17.787210 231s Outliers: 11 231s [1] 2 6 7 9 12 14 15 16 24 25 28 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s body brain 231s 60.6 150.2 231s 231s Robust Estimate of Covariance: 231s body brain 231s body 10670 19646 231s brain 19646 41147 231s -------------------------------------------------------- 231s milk 86 8 -25.169970 231s Outliers: 22 231s [1] 1 2 3 11 12 13 14 15 16 17 18 20 27 28 41 44 47 70 73 74 75 77 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s X1 X2 X3 X4 X5 X6 X7 X8 231s 1.03 35.87 33.14 26.19 25.17 25.11 123.16 14.41 231s 231s Robust Estimate of Covariance: 231s X1 X2 X3 X4 X5 X6 X7 231s X1 4.47e-07 1.77e-04 1.94e-04 1.79e-04 1.60e-04 1.45e-04 6.45e-04 231s X2 1.77e-04 2.36e+00 4.03e-01 3.08e-01 2.08e-01 3.45e-01 2.18e+00 231s X3 1.94e-04 4.03e-01 1.13e+00 8.31e-01 8.08e-01 7.79e-01 9.83e-01 231s X4 1.79e-04 3.08e-01 8.31e-01 6.62e-01 6.22e-01 5.95e-01 7.82e-01 231s X5 1.60e-04 2.08e-01 8.08e-01 6.22e-01 6.51e-01 5.93e-01 7.60e-01 231s X6 1.45e-04 3.45e-01 7.79e-01 5.95e-01 5.93e-01 5.88e-01 7.81e-01 231s X7 6.45e-04 2.18e+00 9.83e-01 7.82e-01 7.60e-01 7.81e-01 4.81e+00 231s X8 2.47e-05 2.57e-01 2.00e-01 1.37e-01 1.13e-01 1.28e-01 4.38e-01 231s X8 231s X1 2.47e-05 231s X2 2.57e-01 231s X3 2.00e-01 231s X4 1.37e-01 231s X5 1.13e-01 231s X6 1.28e-01 231s X7 4.38e-01 231s X8 1.61e-01 231s -------------------------------------------------------- 231s bushfire 38 5 21.641566 231s Outliers: 13 231s [1] 7 8 9 10 11 31 32 33 34 35 36 37 38 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s V1 V2 V3 V4 V5 231s 111 150 256 214 276 231s 231s Robust Estimate of Covariance: 231s V1 V2 V3 V4 V5 231s V1 554 408 -2321 -464 -393 231s V2 408 343 -1361 -244 -215 231s V3 -2321 -1361 14690 3277 2684 231s V4 -464 -244 3277 783 629 231s V5 -393 -215 2684 629 509 231s -------------------------------------------------------- 231s rice 105 5 -7.208835 231s Outliers: 8 231s [1] 9 14 40 42 49 57 58 71 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s Favor Appearance Taste Stickiness Toughness 231s -0.21721 0.20948 -0.04581 0.15355 -0.00254 231s 231s Robust Estimate of Covariance: 231s Favor Appearance Taste Stickiness Toughness 231s Favor 0.432 0.337 0.417 0.382 -0.201 231s Appearance 0.337 0.591 0.553 0.510 -0.295 231s Taste 0.417 0.553 0.735 0.683 -0.385 231s Stickiness 0.382 0.510 0.683 0.834 -0.462 231s Toughness -0.201 -0.295 -0.385 -0.462 0.408 231s -------------------------------------------------------- 231s hemophilia 75 2 -7.453807 231s Outliers: 2 231s [1] 46 53 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s AHFactivity AHFantigen 231s -0.2276 -0.0637 231s 231s Robust Estimate of Covariance: 231s AHFactivity AHFantigen 231s AHFactivity 0.0405 0.0221 231s AHFantigen 0.0221 0.0263 231s -------------------------------------------------------- 231s fish 159 6 13.110263 231s Outliers: 47 231s [1] 38 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 231s [20] 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 231s [39] 98 99 100 101 102 103 104 140 142 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s Weight Length1 Length2 Length3 Height Width 231s 452.1 27.2 29.5 32.6 30.8 15.0 231s 231s Robust Estimate of Covariance: 231s Weight Length1 Length2 Length3 Height Width 231s Weight 132559.85 2817.97 3035.69 3369.07 1231.68 112.19 231s Length1 2817.97 64.16 68.74 75.36 22.52 2.37 231s Length2 3035.69 68.74 73.77 81.12 25.57 2.47 231s Length3 3369.07 75.36 81.12 91.65 37.39 1.40 231s Height 1231.68 22.52 25.57 37.39 50.91 -3.92 231s Width 112.19 2.37 2.47 1.40 -3.92 1.87 231s -------------------------------------------------------- 231s airquality 153 4 21.181656 231s Outliers: 13 231s [1] 6 7 11 14 17 20 23 30 34 53 63 77 107 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s Ozone Solar.R Wind Temp 231s 40.21 198.33 9.76 79.35 231s 231s Robust Estimate of Covariance: 231s Ozone Solar.R Wind Temp 231s Ozone 885.7 581.1 -57.3 226.4 231s Solar.R 581.1 8870.9 26.2 -15.1 231s Wind -57.3 26.2 11.8 -13.4 231s Temp 226.4 -15.1 -13.4 89.4 231s -------------------------------------------------------- 231s attitude 30 7 27.836398 231s Outliers: 8 231s [1] 1 9 13 14 17 18 24 26 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s rating complaints privileges learning raises critical 231s 64.0 65.4 50.5 54.9 63.1 72.6 231s advance 231s 40.5 231s 231s Robust Estimate of Covariance: 231s rating complaints privileges learning raises critical advance 231s rating 180.10 153.16 42.04 128.90 90.25 18.75 39.81 231s complaints 153.16 192.38 58.32 142.48 94.29 8.13 45.33 231s privileges 42.04 58.32 113.65 82.31 69.53 23.13 61.96 231s learning 128.90 142.48 82.31 156.99 101.74 13.22 49.64 231s raises 90.25 94.29 69.53 101.74 110.85 47.84 55.76 231s critical 18.75 8.13 23.13 13.22 47.84 123.00 36.97 231s advance 39.81 45.33 61.96 49.64 55.76 36.97 53.59 231s -------------------------------------------------------- 231s attenu 182 5 9.726797 231s Outliers: 44 231s [1] 1 2 4 5 6 7 8 9 10 11 13 15 16 19 20 21 22 23 24 231s [20] 25 27 28 29 30 31 32 40 45 60 61 64 65 78 80 81 93 94 95 231s [39] 96 97 98 99 100 108 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s event mag station dist accel 231s 16.39 5.82 60.89 27.97 0.12 231s 231s Robust Estimate of Covariance: 231s event mag station dist accel 231s event 4.20e+01 -1.97e+00 1.44e+02 -3.50e+01 4.05e-02 231s mag -1.97e+00 5.05e-01 -4.78e+00 4.63e+00 4.19e-03 231s station 1.44e+02 -4.78e+00 1.47e+03 -5.74e+01 7.88e-01 231s dist -3.50e+01 4.63e+00 -5.74e+01 3.99e+02 -1.18e+00 231s accel 4.05e-02 4.19e-03 7.88e-01 -1.18e+00 7.71e-03 231s -------------------------------------------------------- 231s USJudgeRatings 43 12 -46.356873 231s Outliers: 15 231s [1] 1 5 7 8 12 13 14 17 20 21 23 30 31 35 42 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s CONT INTG DMNR DILG CFMG DECI PREP FAMI ORAL WRIT PHYS RTEN 231s 7.56 8.12 7.70 7.91 7.74 7.82 7.66 7.66 7.50 7.58 8.22 7.86 231s 231s Robust Estimate of Covariance: 231s CONT INTG DMNR DILG CFMG DECI PREP 231s CONT 0.63426 -0.20121 -0.31858 -0.09578 0.00521 -0.00436 -0.07140 231s INTG -0.20121 0.28326 0.37540 0.27103 0.20362 0.19838 0.25706 231s DMNR -0.31858 0.37540 0.58265 0.33615 0.25649 0.24804 0.31696 231s DILG -0.09578 0.27103 0.33615 0.32588 0.27022 0.26302 0.32236 231s CFMG 0.00521 0.20362 0.25649 0.27022 0.25929 0.24217 0.27784 231s DECI -0.00436 0.19838 0.24804 0.26302 0.24217 0.23830 0.27284 231s PREP -0.07140 0.25706 0.31696 0.32236 0.27784 0.27284 0.35071 231s FAMI -0.07118 0.25858 0.29511 0.32582 0.27863 0.27657 0.35941 231s ORAL -0.11149 0.27055 0.33919 0.31768 0.27339 0.26739 0.34200 231s WRIT -0.10050 0.26857 0.32570 0.32327 0.27860 0.27201 0.34399 231s PHYS -0.09693 0.15339 0.18416 0.17089 0.13837 0.14895 0.18472 231s RTEN -0.15643 0.31793 0.40884 0.33863 0.27073 0.26854 0.34049 231s FAMI ORAL WRIT PHYS RTEN 231s CONT -0.07118 -0.11149 -0.10050 -0.09693 -0.15643 231s INTG 0.25858 0.27055 0.26857 0.15339 0.31793 231s DMNR 0.29511 0.33919 0.32570 0.18416 0.40884 231s DILG 0.32582 0.31768 0.32327 0.17089 0.33863 231s CFMG 0.27863 0.27339 0.27860 0.13837 0.27073 231s DECI 0.27657 0.26739 0.27201 0.14895 0.26854 231s PREP 0.35941 0.34200 0.34399 0.18472 0.34049 231s FAMI 0.38378 0.35617 0.36094 0.19998 0.35048 231s ORAL 0.35617 0.34918 0.34808 0.19759 0.35217 231s WRIT 0.36094 0.34808 0.35242 0.19666 0.35090 231s PHYS 0.19998 0.19759 0.19666 0.14770 0.20304 231s RTEN 0.35048 0.35217 0.35090 0.20304 0.39451 231s -------------------------------------------------------- 231s USArrests 50 4 19.206310 231s Outliers: 4 231s [1] 2 28 33 39 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s Murder Assault UrbanPop Rape 231s 7.55 160.94 65.10 19.97 231s 231s Robust Estimate of Covariance: 231s Murder Assault UrbanPop Rape 231s Murder 25.6 409.5 23.4 32.1 231s Assault 409.5 8530.9 676.9 669.4 231s UrbanPop 23.4 676.9 269.9 76.6 231s Rape 32.1 669.4 76.6 76.6 231s -------------------------------------------------------- 231s longley 16 7 13.387132 231s Outliers: 4 231s [1] 1 2 3 4 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s GNP.deflator GNP Unemployed Armed.Forces Population 231s 105.5 422.4 318.3 299.7 119.5 231s Year Employed 231s 1956.1 66.5 231s 231s Robust Estimate of Covariance: 231s GNP.deflator GNP Unemployed Armed.Forces Population 231s GNP.deflator 59.97 582.66 694.99 -237.75 46.12 231s GNP 582.66 5849.82 6383.68 -2207.26 461.15 231s Unemployed 694.99 6383.68 11155.03 -3104.18 534.25 231s Armed.Forces -237.75 -2207.26 -3104.18 1429.11 -171.28 231s Population 46.12 461.15 534.25 -171.28 36.79 231s Year 29.01 287.48 340.95 -112.61 22.85 231s Employed 18.99 193.66 186.31 -76.88 14.94 231s Year Employed 231s GNP.deflator 29.01 18.99 231s GNP 287.48 193.66 231s Unemployed 340.95 186.31 231s Armed.Forces -112.61 -76.88 231s Population 22.85 14.94 231s Year 14.36 9.45 231s Employed 9.45 6.90 231s -------------------------------------------------------- 231s Loblolly 84 3 7.757906 231s Outliers: 27 231s [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 231s [26] 83 84 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s height age Seed 231s 21.72 8.60 7.58 231s 231s Robust Estimate of Covariance: 231s height age Seed 231s height 316.590 102.273 5.939 231s age 102.273 33.465 -0.121 231s Seed 5.939 -0.121 27.203 231s -------------------------------------------------------- 231s quakes 1000 4 11.473431 231s Outliers: 237 231s [1] 7 12 15 17 22 25 27 28 32 37 40 41 45 48 53 231s [16] 63 64 73 78 87 91 92 94 99 108 110 117 118 119 120 231s [31] 121 122 126 133 136 141 143 145 148 152 154 155 157 159 160 231s [46] 163 166 170 174 176 192 205 222 226 230 239 243 244 250 251 231s [61] 252 254 258 263 267 268 271 283 292 297 300 301 305 311 312 231s [76] 318 320 321 325 328 330 331 334 352 357 360 365 368 376 381 231s [91] 382 384 389 399 400 402 408 410 413 416 417 418 419 426 429 231s [106] 437 441 443 453 456 467 474 477 490 492 496 504 507 508 509 231s [121] 517 524 527 528 531 532 534 536 538 539 541 542 543 544 545 231s [136] 546 547 552 553 558 560 570 571 581 583 587 593 594 596 597 231s [151] 605 612 613 618 620 625 629 638 642 647 649 653 655 656 672 231s [166] 675 681 686 699 701 702 712 714 716 721 725 726 735 744 753 231s [181] 754 756 759 765 766 769 779 781 782 785 787 797 804 813 825 231s [196] 827 837 840 844 852 853 857 860 865 866 869 870 872 873 883 231s [211] 884 887 888 890 891 893 908 909 912 915 916 921 927 930 952 231s [226] 962 963 969 974 980 982 986 987 988 992 997 1000 231s ------------- 231s 231s Call: 231s CovSest(x = x, method = method) 231s -> Method: S-estimates: Rocke type 231s 231s Robust Estimate of Location: 231s lat long depth mag 231s -21.45 182.54 351.18 4.55 231s 231s Robust Estimate of Covariance: 231s lat long depth mag 231s lat 2.10e+01 4.66e+00 2.45e+02 -3.38e-01 231s long 4.66e+00 5.88e+00 -4.63e+02 9.36e-02 231s depth 2.45e+02 -4.63e+02 6.38e+04 -2.02e+01 231s mag -3.38e-01 9.36e-02 -2.02e+01 1.78e-01 231s -------------------------------------------------------- 231s =================================================== 231s > dodata(method="MM") 231s 231s Call: dodata(method = "MM") 231s Data Set n p LOG(det) Time 231s =================================================== 231s heart 12 2 2.017701 231s Outliers: 1 231s [1] 6 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s height weight 231s 40.0 37.7 231s 231s Robust Estimate of Covariance: 231s height weight 231s height 99.2 205.7 231s weight 205.7 458.9 231s -------------------------------------------------------- 231s starsCYG 47 2 -1.450032 231s Outliers: 7 231s [1] 7 9 11 14 20 30 34 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s log.Te log.light 231s 4.41 4.94 231s 231s Robust Estimate of Covariance: 231s log.Te log.light 231s log.Te 0.0180 0.0526 231s log.light 0.0526 0.3217 231s -------------------------------------------------------- 231s phosphor 18 2 2.320721 231s Outliers: 1 231s [1] 6 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s inorg organic 231s 12.3 41.4 231s 231s Robust Estimate of Covariance: 231s inorg organic 231s inorg 94.2 67.2 231s organic 67.2 162.1 231s -------------------------------------------------------- 231s stackloss 21 3 1.470031 231s Outliers: 0 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s Air.Flow Water.Temp Acid.Conc. 231s 60.2 21.0 86.4 231s 231s Robust Estimate of Covariance: 231s Air.Flow Water.Temp Acid.Conc. 231s Air.Flow 81.13 21.99 23.15 231s Water.Temp 21.99 10.01 6.43 231s Acid.Conc. 23.15 6.43 27.22 231s -------------------------------------------------------- 231s coleman 20 5 0.491419 231s Outliers: 1 231s [1] 10 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s salaryP fatherWc sstatus teacherSc motherLev 231s 2.74 43.14 3.65 25.07 6.32 231s 231s Robust Estimate of Covariance: 231s salaryP fatherWc sstatus teacherSc motherLev 231s salaryP 0.1878 2.0635 1.0433 0.2721 0.0582 231s fatherWc 2.0635 670.2232 211.0609 4.3625 15.6083 231s sstatus 1.0433 211.0609 92.8743 2.6532 5.1816 231s teacherSc 0.2721 4.3625 2.6532 1.2757 0.1613 231s motherLev 0.0582 15.6083 5.1816 0.1613 0.4192 231s -------------------------------------------------------- 231s salinity 28 3 0.734619 231s Outliers: 2 231s [1] 5 16 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s X1 X2 X3 231s 10.46 2.66 23.15 231s 231s Robust Estimate of Covariance: 231s X1 X2 X3 231s X1 10.079 -0.024 -1.899 231s X2 -0.024 3.466 -1.817 231s X3 -1.899 -1.817 3.665 231s -------------------------------------------------------- 231s wood 20 5 -3.202636 231s Outliers: 0 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s x1 x2 x3 x4 x5 231s 0.550 0.133 0.506 0.511 0.909 231s 231s Robust Estimate of Covariance: 231s x1 x2 x3 x4 x5 231s x1 0.008454 -0.000377 0.003720 0.002874 -0.003065 231s x2 -0.000377 0.000516 -0.000399 -0.000933 0.000645 231s x3 0.003720 -0.000399 0.004186 0.001720 -0.001714 231s x4 0.002874 -0.000933 0.001720 0.003993 -0.001028 231s x5 -0.003065 0.000645 -0.001714 -0.001028 0.002744 231s -------------------------------------------------------- 231s hbk 75 3 0.283145 231s Outliers: 14 231s [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s X1 X2 X3 231s 1.54 1.79 1.68 231s 231s Robust Estimate of Covariance: 231s X1 X2 X3 231s X1 1.8016 0.0739 0.2000 231s X2 0.0739 1.8301 0.2295 231s X3 0.2000 0.2295 1.7101 231s -------------------------------------------------------- 231s Animals 28 2 4.685129 231s Outliers: 10 231s [1] 2 6 7 9 12 14 15 16 24 25 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s body brain 231s 82 148 231s 231s Robust Estimate of Covariance: 231s body brain 231s body 21050 24534 231s brain 24534 35135 231s -------------------------------------------------------- 231s milk 86 8 -1.437863 231s Outliers: 12 231s [1] 1 2 3 12 13 17 41 44 47 70 74 75 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s X1 X2 X3 X4 X5 X6 X7 X8 231s 1.03 35.73 32.87 25.96 24.94 24.85 122.55 14.33 231s 231s Robust Estimate of Covariance: 231s X1 X2 X3 X4 X5 X6 X7 231s X1 1.08e-06 5.36e-04 6.80e-04 5.96e-04 5.87e-04 5.91e-04 2.22e-03 231s X2 5.36e-04 2.42e+00 7.07e-01 5.51e-01 4.89e-01 5.70e-01 3.08e+00 231s X3 6.80e-04 7.07e-01 1.64e+00 1.28e+00 1.25e+00 1.26e+00 2.38e+00 231s X4 5.96e-04 5.51e-01 1.28e+00 1.05e+00 1.01e+00 1.02e+00 2.01e+00 231s X5 5.87e-04 4.89e-01 1.25e+00 1.01e+00 1.05e+00 1.02e+00 1.96e+00 231s X6 5.91e-04 5.70e-01 1.26e+00 1.02e+00 1.02e+00 1.05e+00 2.01e+00 231s X7 2.22e-03 3.08e+00 2.38e+00 2.01e+00 1.96e+00 2.01e+00 9.22e+00 231s X8 1.68e-04 4.13e-01 3.37e-01 2.53e-01 2.34e-01 2.43e-01 8.81e-01 231s X8 231s X1 1.68e-04 231s X2 4.13e-01 231s X3 3.37e-01 231s X4 2.53e-01 231s X5 2.34e-01 231s X6 2.43e-01 231s X7 8.81e-01 231s X8 2.11e-01 231s -------------------------------------------------------- 231s bushfire 38 5 2.443148 231s Outliers: 12 231s [1] 8 9 10 11 31 32 33 34 35 36 37 38 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s V1 V2 V3 V4 V5 231s 109 149 258 215 276 231s 231s Robust Estimate of Covariance: 231s V1 V2 V3 V4 V5 231s V1 708 538 -2705 -558 -464 231s V2 538 497 -1376 -248 -216 231s V3 -2705 -1376 20521 4833 3914 231s V4 -558 -248 4833 1217 969 231s V5 -464 -216 3914 969 778 231s -------------------------------------------------------- 231s rice 105 5 -0.724874 231s Outliers: 5 231s [1] 9 42 49 58 71 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s Favor Appearance Taste Stickiness Toughness 231s -0.2653 0.0969 -0.1371 0.0483 0.0731 231s 231s Robust Estimate of Covariance: 231s Favor Appearance Taste Stickiness Toughness 231s Favor 0.421 0.349 0.427 0.405 -0.191 231s Appearance 0.349 0.605 0.565 0.553 -0.316 231s Taste 0.427 0.565 0.725 0.701 -0.378 231s Stickiness 0.405 0.553 0.701 0.868 -0.484 231s Toughness -0.191 -0.316 -0.378 -0.484 0.464 231s -------------------------------------------------------- 231s hemophilia 75 2 -1.868949 231s Outliers: 2 231s [1] 11 36 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s AHFactivity AHFantigen 231s -0.2342 -0.0333 231s 231s Robust Estimate of Covariance: 231s AHFactivity AHFantigen 231s AHFactivity 0.0309 0.0122 231s AHFantigen 0.0122 0.0231 231s -------------------------------------------------------- 231s fish 159 6 1.285876 231s Outliers: 20 231s [1] 61 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 231s [20] 142 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s Weight Length1 Length2 Length3 Height Width 231s 352.7 24.3 26.4 29.2 29.7 14.6 231s 231s Robust Estimate of Covariance: 231s Weight Length1 Length2 Length3 Height Width 231s Weight 1.20e+05 2.89e+03 3.12e+03 3.51e+03 1.49e+03 2.83e+02 231s Length1 2.89e+03 7.73e+01 8.35e+01 9.28e+01 3.73e+01 9.26e+00 231s Length2 3.12e+03 8.35e+01 9.04e+01 1.01e+02 4.16e+01 1.01e+01 231s Length3 3.51e+03 9.28e+01 1.01e+02 1.14e+02 5.37e+01 1.01e+01 231s Height 1.49e+03 3.73e+01 4.16e+01 5.37e+01 6.75e+01 3.22e+00 231s Width 2.83e+02 9.26e+00 1.01e+01 1.01e+01 3.22e+00 4.18e+00 231s -------------------------------------------------------- 231s airquality 153 4 2.684374 231s Outliers: 6 231s [1] 7 14 23 30 34 77 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s Ozone Solar.R Wind Temp 231s 40.35 186.21 9.86 78.09 231s 231s Robust Estimate of Covariance: 231s Ozone Solar.R Wind Temp 231s Ozone 951.0 959.9 -62.5 224.6 231s Solar.R 959.9 8629.9 -28.1 244.9 231s Wind -62.5 -28.1 11.6 -15.8 231s Temp 224.6 244.9 -15.8 93.1 231s -------------------------------------------------------- 231s attitude 30 7 2.091968 231s Outliers: 4 231s [1] 14 16 18 24 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s rating complaints privileges learning raises critical 231s 65.0 66.5 52.4 56.2 65.3 75.6 231s advance 231s 42.7 231s 231s Robust Estimate of Covariance: 231s rating complaints privileges learning raises critical advance 231s rating 143.5 123.4 62.4 92.5 79.2 17.7 28.2 231s complaints 123.4 159.8 83.9 99.7 96.0 27.3 44.0 231s privileges 62.4 83.9 133.5 78.6 62.0 13.4 46.4 231s learning 92.5 99.7 78.6 136.0 90.9 18.9 62.6 231s raises 79.2 96.0 62.0 90.9 107.6 34.6 63.3 231s critical 17.7 27.3 13.4 18.9 34.6 84.9 25.9 231s advance 28.2 44.0 46.4 62.6 63.3 25.9 94.4 231s -------------------------------------------------------- 231s attenu 182 5 1.148032 231s Outliers: 21 231s [1] 2 7 8 9 10 11 15 16 24 25 28 29 30 31 32 64 65 94 95 231s [20] 96 100 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s event mag station dist accel 231s 15.36 5.95 58.11 33.56 0.14 231s 231s Robust Estimate of Covariance: 231s event mag station dist accel 231s event 4.88e+01 -2.74e+00 1.53e+02 -1.14e+02 5.95e-02 231s mag -2.74e+00 5.32e-01 -6.29e+00 1.10e+01 9.37e-03 231s station 1.53e+02 -6.29e+00 1.29e+03 -2.95e+02 1.04e+00 231s dist -1.14e+02 1.10e+01 -2.95e+02 1.13e+03 -2.41e+00 231s accel 5.95e-02 9.37e-03 1.04e+00 -2.41e+00 1.70e-02 231s -------------------------------------------------------- 231s USJudgeRatings 43 12 -1.683847 231s Outliers: 7 231s [1] 5 7 12 13 14 23 31 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s CONT INTG DMNR DILG CFMG DECI PREP FAMI ORAL WRIT PHYS RTEN 231s 7.45 8.15 7.74 7.87 7.67 7.74 7.65 7.65 7.50 7.57 8.17 7.85 231s 231s Robust Estimate of Covariance: 231s CONT INTG DMNR DILG CFMG DECI PREP FAMI 231s CONT 0.9403 -0.2500 -0.3953 -0.1418 -0.0176 -0.0620 -0.1304 -0.1517 231s INTG -0.2500 0.6314 0.8479 0.6889 0.5697 0.5386 0.7007 0.6985 231s DMNR -0.3953 0.8479 1.2186 0.9027 0.7613 0.7232 0.9191 0.9055 231s DILG -0.1418 0.6889 0.9027 0.8474 0.7344 0.6949 0.8751 0.8655 231s CFMG -0.0176 0.5697 0.7613 0.7344 0.6904 0.6442 0.7683 0.7594 231s DECI -0.0620 0.5386 0.7232 0.6949 0.6442 0.6219 0.7362 0.7360 231s PREP -0.1304 0.7007 0.9191 0.8751 0.7683 0.7362 0.9370 0.9357 231s FAMI -0.1517 0.6985 0.9055 0.8655 0.7594 0.7360 0.9357 0.9547 231s ORAL -0.1866 0.7375 0.9841 0.8816 0.7747 0.7433 0.9400 0.9496 231s WRIT -0.1881 0.7208 0.9516 0.8711 0.7646 0.7357 0.9302 0.9439 231s PHYS -0.1407 0.4673 0.6261 0.5661 0.5105 0.5039 0.5996 0.6112 231s RTEN -0.2494 0.7921 1.0688 0.9167 0.7902 0.7585 0.9533 0.9561 231s ORAL WRIT PHYS RTEN 231s CONT -0.1866 -0.1881 -0.1407 -0.2494 231s INTG 0.7375 0.7208 0.4673 0.7921 231s DMNR 0.9841 0.9516 0.6261 1.0688 231s DILG 0.8816 0.8711 0.5661 0.9167 231s CFMG 0.7747 0.7646 0.5105 0.7902 231s DECI 0.7433 0.7357 0.5039 0.7585 231s PREP 0.9400 0.9302 0.5996 0.9533 231s FAMI 0.9496 0.9439 0.6112 0.9561 231s ORAL 0.9712 0.9558 0.6271 0.9933 231s WRIT 0.9558 0.9483 0.6135 0.9725 231s PHYS 0.6271 0.6135 0.4816 0.6549 231s RTEN 0.9933 0.9725 0.6549 1.0540 231s -------------------------------------------------------- 231s USArrests 50 4 2.411726 231s Outliers: 3 231s [1] 2 33 39 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s Murder Assault UrbanPop Rape 231s 7.52 163.86 65.66 20.64 231s 231s Robust Estimate of Covariance: 231s Murder Assault UrbanPop Rape 231s Murder 19.05 295.96 8.32 23.40 231s Assault 295.96 6905.03 396.53 523.49 231s UrbanPop 8.32 396.53 202.98 62.81 231s Rape 23.40 523.49 62.81 79.10 231s -------------------------------------------------------- 231s longley 16 7 1.038316 231s Outliers: 5 231s [1] 1 2 3 4 5 231s ------------- 231s 231s Call: 231s CovMMest(x = x) 231s -> Method: MM-estimates 231s 231s Robust Estimate of Location: 231s GNP.deflator GNP Unemployed Armed.Forces Population 231s 107.5 440.4 339.4 293.0 120.9 231s Year Employed 231s 1957.0 67.2 231s 231s Robust Estimate of Covariance: 231s GNP.deflator GNP Unemployed Armed.Forces Population 231s GNP.deflator 100.4 953.8 1140.8 -501.8 74.3 231s GNP 953.8 9434.3 10084.3 -4573.8 731.3 231s Unemployed 1140.8 10084.3 19644.6 -6296.3 848.4 231s Armed.Forces -501.8 -4573.8 -6296.3 3192.3 -348.5 231s Population 74.3 731.3 848.4 -348.5 57.7 231s Year 46.3 450.7 537.0 -230.7 35.3 231s Employed 30.8 310.2 273.8 -159.4 23.3 231s Year Employed 231s GNP.deflator 46.3 30.8 231s GNP 450.7 310.2 231s Unemployed 537.0 273.8 231s Armed.Forces -230.7 -159.4 231s Population 35.3 23.3 231s Year 21.9 14.6 231s Employed 14.6 11.2 231s -------------------------------------------------------- 232s Loblolly 84 3 1.481317 232s Outliers: 0 232s ------------- 232s 232s Call: 232s CovMMest(x = x) 232s -> Method: MM-estimates 232s 232s Robust Estimate of Location: 232s height age Seed 232s 31.93 12.79 7.48 232s 232s Robust Estimate of Covariance: 232s height age Seed 232s height 440.644 165.652 6.958 232s age 165.652 63.500 0.681 232s Seed 6.958 0.681 16.564 232s -------------------------------------------------------- 232s quakes 1000 4 1.576855 232s Outliers: 218 232s [1] 7 12 15 17 22 27 32 37 40 41 45 48 53 63 64 232s [16] 73 78 87 91 92 94 99 108 110 117 118 119 120 121 122 232s [31] 126 133 136 141 143 145 148 152 154 155 157 159 160 163 170 232s [46] 192 205 222 226 230 239 243 250 251 252 254 258 263 267 268 232s [61] 271 283 292 300 301 305 311 312 318 320 321 325 328 330 334 232s [76] 352 357 360 365 381 382 384 389 400 402 408 413 416 417 419 232s [91] 429 437 441 443 453 456 467 474 477 490 492 496 504 507 508 232s [106] 509 517 524 527 528 531 532 534 536 538 539 541 542 543 544 232s [121] 545 546 547 552 553 560 571 581 583 587 593 594 596 597 605 232s [136] 612 613 618 620 625 629 638 642 647 649 653 655 656 672 675 232s [151] 681 686 699 701 702 712 714 716 721 725 726 735 744 754 756 232s [166] 759 765 766 769 779 781 782 785 787 797 804 813 825 827 837 232s [181] 840 844 852 853 857 860 865 866 869 870 872 873 883 884 887 232s [196] 888 890 891 893 908 909 912 915 916 921 927 930 962 963 969 232s [211] 974 980 982 986 987 988 997 1000 232s ------------- 232s 232s Call: 232s CovMMest(x = x) 232s -> Method: MM-estimates 232s 232s Robust Estimate of Location: 232s lat long depth mag 232s -21.74 182.37 356.37 4.56 232s 232s Robust Estimate of Covariance: 232s lat long depth mag 232s lat 2.97e+01 6.53e+00 3.46e+02 -4.66e-01 232s long 6.53e+00 6.92e+00 -5.05e+02 5.62e-02 232s depth 3.46e+02 -5.05e+02 7.39e+04 -2.51e+01 232s mag -4.66e-01 5.62e-02 -2.51e+01 2.32e-01 232s -------------------------------------------------------- 232s =================================================== 232s > ##dogen() 232s > ##cat('Time elapsed: ', proc.time(),'\n') # for ``statistical reasons'' 232s > 232s autopkgtest [22:30:24]: test run-unit-test: -----------------------] 232s autopkgtest [22:30:24]: test run-unit-test: - - - - - - - - - - results - - - - - - - - - - 232s run-unit-test PASS 233s autopkgtest [22:30:25]: test pkg-r-autopkgtest: preparing testbed 233s Reading package lists... 233s Building dependency tree... 233s Reading state information... 234s Starting pkgProblemResolver with broken count: 0 234s Starting 2 pkgProblemResolver with broken count: 0 234s Done 234s The following NEW packages will be installed: 234s build-essential cpp cpp-14 cpp-14-x86-64-linux-gnu cpp-x86-64-linux-gnu 234s dctrl-tools g++ g++-14 g++-14-x86-64-linux-gnu g++-x86-64-linux-gnu gcc 234s gcc-14 gcc-14-x86-64-linux-gnu gcc-x86-64-linux-gnu gfortran gfortran-14 234s gfortran-14-x86-64-linux-gnu gfortran-x86-64-linux-gnu icu-devtools libasan8 234s libblas-dev libbz2-dev libcc1-0 libdeflate-dev libgcc-14-dev 234s libgfortran-14-dev libhwasan0 libicu-dev libisl23 libitm1 libjpeg-dev 234s libjpeg-turbo8-dev libjpeg8-dev liblapack-dev liblsan0 liblzma-dev libmpc3 234s libncurses-dev libpcre2-16-0 libpcre2-32-0 libpcre2-dev libpcre2-posix3 234s libpkgconf3 libpng-dev libquadmath0 libreadline-dev libstdc++-14-dev 234s libtirpc-dev libtsan2 libubsan1 pkg-r-autopkgtest pkgconf pkgconf-bin 234s r-base-dev zlib1g-dev 234s 0 upgraded, 55 newly installed, 0 to remove and 0 not upgraded. 234s Need to get 103 MB of archives. 234s After this operation, 363 MB of additional disk space will be used. 234s Get:1 http://ftpmaster.internal/ubuntu plucky/main amd64 libisl23 amd64 0.27-1 [685 kB] 235s Get:2 http://ftpmaster.internal/ubuntu plucky/main amd64 libmpc3 amd64 1.3.1-1build2 [55.3 kB] 235s Get:3 http://ftpmaster.internal/ubuntu plucky/main amd64 cpp-14-x86-64-linux-gnu amd64 14.2.0-17ubuntu3 [11.9 MB] 235s Get:4 http://ftpmaster.internal/ubuntu plucky/main amd64 cpp-14 amd64 14.2.0-17ubuntu3 [1030 B] 235s Get:5 http://ftpmaster.internal/ubuntu plucky/main amd64 cpp-x86-64-linux-gnu amd64 4:14.2.0-1ubuntu1 [5586 B] 235s Get:6 http://ftpmaster.internal/ubuntu plucky/main amd64 cpp amd64 4:14.2.0-1ubuntu1 [22.4 kB] 235s Get:7 http://ftpmaster.internal/ubuntu plucky/main amd64 libcc1-0 amd64 15-20250222-0ubuntu1 [47.0 kB] 235s Get:8 http://ftpmaster.internal/ubuntu plucky/main amd64 libitm1 amd64 15-20250222-0ubuntu1 [28.6 kB] 235s Get:9 http://ftpmaster.internal/ubuntu plucky/main amd64 libasan8 amd64 15-20250222-0ubuntu1 [3055 kB] 235s Get:10 http://ftpmaster.internal/ubuntu plucky/main amd64 liblsan0 amd64 15-20250222-0ubuntu1 [1355 kB] 236s Get:11 http://ftpmaster.internal/ubuntu plucky/main amd64 libtsan2 amd64 15-20250222-0ubuntu1 [2756 kB] 236s Get:12 http://ftpmaster.internal/ubuntu plucky/main amd64 libubsan1 amd64 15-20250222-0ubuntu1 [1205 kB] 236s Get:13 http://ftpmaster.internal/ubuntu plucky/main amd64 libhwasan0 amd64 15-20250222-0ubuntu1 [1677 kB] 236s Get:14 http://ftpmaster.internal/ubuntu plucky/main amd64 libquadmath0 amd64 15-20250222-0ubuntu1 [152 kB] 236s Get:15 http://ftpmaster.internal/ubuntu plucky/main amd64 libgcc-14-dev amd64 14.2.0-17ubuntu3 [2816 kB] 236s Get:16 http://ftpmaster.internal/ubuntu plucky/main amd64 gcc-14-x86-64-linux-gnu amd64 14.2.0-17ubuntu3 [23.3 MB] 236s Get:17 http://ftpmaster.internal/ubuntu plucky/main amd64 gcc-14 amd64 14.2.0-17ubuntu3 [536 kB] 236s Get:18 http://ftpmaster.internal/ubuntu plucky/main amd64 gcc-x86-64-linux-gnu amd64 4:14.2.0-1ubuntu1 [1208 B] 236s Get:19 http://ftpmaster.internal/ubuntu plucky/main amd64 gcc amd64 4:14.2.0-1ubuntu1 [5004 B] 236s Get:20 http://ftpmaster.internal/ubuntu plucky/main amd64 libstdc++-14-dev amd64 14.2.0-17ubuntu3 [2486 kB] 237s Get:21 http://ftpmaster.internal/ubuntu plucky/main amd64 g++-14-x86-64-linux-gnu amd64 14.2.0-17ubuntu3 [13.4 MB] 237s Get:22 http://ftpmaster.internal/ubuntu plucky/main amd64 g++-14 amd64 14.2.0-17ubuntu3 [21.8 kB] 237s Get:23 http://ftpmaster.internal/ubuntu plucky/main amd64 g++-x86-64-linux-gnu amd64 4:14.2.0-1ubuntu1 [968 B] 237s Get:24 http://ftpmaster.internal/ubuntu plucky/main amd64 g++ amd64 4:14.2.0-1ubuntu1 [1100 B] 237s Get:25 http://ftpmaster.internal/ubuntu plucky/main amd64 build-essential amd64 12.10ubuntu1 [4928 B] 237s Get:26 http://ftpmaster.internal/ubuntu plucky/main amd64 dctrl-tools amd64 2.24-3build3 [106 kB] 237s Get:27 http://ftpmaster.internal/ubuntu plucky/main amd64 libgfortran-14-dev amd64 14.2.0-17ubuntu3 [966 kB] 237s Get:28 http://ftpmaster.internal/ubuntu plucky/main amd64 gfortran-14-x86-64-linux-gnu amd64 14.2.0-17ubuntu3 [12.6 MB] 237s Get:29 http://ftpmaster.internal/ubuntu plucky/main amd64 gfortran-14 amd64 14.2.0-17ubuntu3 [13.6 kB] 237s Get:30 http://ftpmaster.internal/ubuntu plucky/main amd64 gfortran-x86-64-linux-gnu amd64 4:14.2.0-1ubuntu1 [1022 B] 237s Get:31 http://ftpmaster.internal/ubuntu plucky/main amd64 gfortran amd64 4:14.2.0-1ubuntu1 [1174 B] 237s Get:32 http://ftpmaster.internal/ubuntu plucky/main amd64 icu-devtools amd64 76.1-1ubuntu2 [237 kB] 237s Get:33 http://ftpmaster.internal/ubuntu plucky/main amd64 libblas-dev amd64 3.12.1-2 [338 kB] 237s Get:34 http://ftpmaster.internal/ubuntu plucky/main amd64 libbz2-dev amd64 1.0.8-6 [33.8 kB] 237s Get:35 http://ftpmaster.internal/ubuntu plucky/main amd64 libdeflate-dev amd64 1.23-1 [71.7 kB] 237s Get:36 http://ftpmaster.internal/ubuntu plucky/main amd64 libicu-dev amd64 76.1-1ubuntu2 [12.6 MB] 238s Get:37 http://ftpmaster.internal/ubuntu plucky/main amd64 libjpeg-turbo8-dev amd64 2.1.5-3ubuntu2 [324 kB] 238s Get:38 http://ftpmaster.internal/ubuntu plucky/main amd64 libjpeg8-dev amd64 8c-2ubuntu11 [1484 B] 238s Get:39 http://ftpmaster.internal/ubuntu plucky/main amd64 libjpeg-dev amd64 8c-2ubuntu11 [1482 B] 238s Get:40 http://ftpmaster.internal/ubuntu plucky/main amd64 liblapack-dev amd64 3.12.1-2 [6489 kB] 238s Get:41 http://ftpmaster.internal/ubuntu plucky/main amd64 libncurses-dev amd64 6.5+20250216-2 [424 kB] 238s Get:42 http://ftpmaster.internal/ubuntu plucky/main amd64 libpcre2-16-0 amd64 10.45-1 [268 kB] 238s Get:43 http://ftpmaster.internal/ubuntu plucky/main amd64 libpcre2-32-0 amd64 10.45-1 [251 kB] 238s Get:44 http://ftpmaster.internal/ubuntu plucky/main amd64 libpcre2-posix3 amd64 10.45-1 [7204 B] 238s Get:45 http://ftpmaster.internal/ubuntu plucky/main amd64 libpcre2-dev amd64 10.45-1 [908 kB] 238s Get:46 http://ftpmaster.internal/ubuntu plucky/main amd64 libpkgconf3 amd64 1.8.1-4 [32.3 kB] 238s Get:47 http://ftpmaster.internal/ubuntu plucky/main amd64 zlib1g-dev amd64 1:1.3.dfsg+really1.3.1-1ubuntu1 [895 kB] 238s Get:48 http://ftpmaster.internal/ubuntu plucky/main amd64 libpng-dev amd64 1.6.47-1 [298 kB] 238s Get:49 http://ftpmaster.internal/ubuntu plucky/main amd64 libreadline-dev amd64 8.2-6 [184 kB] 238s Get:50 http://ftpmaster.internal/ubuntu plucky/main amd64 liblzma-dev amd64 5.6.4-1 [189 kB] 238s Get:51 http://ftpmaster.internal/ubuntu plucky/main amd64 pkgconf-bin amd64 1.8.1-4 [21.6 kB] 238s Get:52 http://ftpmaster.internal/ubuntu plucky/main amd64 pkgconf amd64 1.8.1-4 [16.8 kB] 238s Get:53 http://ftpmaster.internal/ubuntu plucky/main amd64 libtirpc-dev amd64 1.3.4+ds-1.3 [193 kB] 238s Get:54 http://ftpmaster.internal/ubuntu plucky/universe amd64 r-base-dev all 4.4.3-1 [4176 B] 238s Get:55 http://ftpmaster.internal/ubuntu plucky/universe amd64 pkg-r-autopkgtest all 20231212ubuntu1 [6448 B] 239s Fetched 103 MB in 4s (24.5 MB/s) 239s Selecting previously unselected package libisl23:amd64. 239s (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 ... 87474 files and directories currently installed.) 239s Preparing to unpack .../00-libisl23_0.27-1_amd64.deb ... 239s Unpacking libisl23:amd64 (0.27-1) ... 239s Selecting previously unselected package libmpc3:amd64. 239s Preparing to unpack .../01-libmpc3_1.3.1-1build2_amd64.deb ... 239s Unpacking libmpc3:amd64 (1.3.1-1build2) ... 239s Selecting previously unselected package cpp-14-x86-64-linux-gnu. 239s Preparing to unpack .../02-cpp-14-x86-64-linux-gnu_14.2.0-17ubuntu3_amd64.deb ... 239s Unpacking cpp-14-x86-64-linux-gnu (14.2.0-17ubuntu3) ... 239s Selecting previously unselected package cpp-14. 239s Preparing to unpack .../03-cpp-14_14.2.0-17ubuntu3_amd64.deb ... 239s Unpacking cpp-14 (14.2.0-17ubuntu3) ... 239s Selecting previously unselected package cpp-x86-64-linux-gnu. 239s Preparing to unpack .../04-cpp-x86-64-linux-gnu_4%3a14.2.0-1ubuntu1_amd64.deb ... 239s Unpacking cpp-x86-64-linux-gnu (4:14.2.0-1ubuntu1) ... 239s Selecting previously unselected package cpp. 239s Preparing to unpack .../05-cpp_4%3a14.2.0-1ubuntu1_amd64.deb ... 239s Unpacking cpp (4:14.2.0-1ubuntu1) ... 239s Selecting previously unselected package libcc1-0:amd64. 239s Preparing to unpack .../06-libcc1-0_15-20250222-0ubuntu1_amd64.deb ... 239s Unpacking libcc1-0:amd64 (15-20250222-0ubuntu1) ... 239s Selecting previously unselected package libitm1:amd64. 239s Preparing to unpack .../07-libitm1_15-20250222-0ubuntu1_amd64.deb ... 239s Unpacking libitm1:amd64 (15-20250222-0ubuntu1) ... 239s Selecting previously unselected package libasan8:amd64. 239s Preparing to unpack .../08-libasan8_15-20250222-0ubuntu1_amd64.deb ... 239s Unpacking libasan8:amd64 (15-20250222-0ubuntu1) ... 239s Selecting previously unselected package liblsan0:amd64. 239s Preparing to unpack .../09-liblsan0_15-20250222-0ubuntu1_amd64.deb ... 239s Unpacking liblsan0:amd64 (15-20250222-0ubuntu1) ... 239s Selecting previously unselected package libtsan2:amd64. 239s Preparing to unpack .../10-libtsan2_15-20250222-0ubuntu1_amd64.deb ... 239s Unpacking libtsan2:amd64 (15-20250222-0ubuntu1) ... 239s Selecting previously unselected package libubsan1:amd64. 239s Preparing to unpack .../11-libubsan1_15-20250222-0ubuntu1_amd64.deb ... 239s Unpacking libubsan1:amd64 (15-20250222-0ubuntu1) ... 239s Selecting previously unselected package libhwasan0:amd64. 239s Preparing to unpack .../12-libhwasan0_15-20250222-0ubuntu1_amd64.deb ... 239s Unpacking libhwasan0:amd64 (15-20250222-0ubuntu1) ... 239s Selecting previously unselected package libquadmath0:amd64. 239s Preparing to unpack .../13-libquadmath0_15-20250222-0ubuntu1_amd64.deb ... 239s Unpacking libquadmath0:amd64 (15-20250222-0ubuntu1) ... 239s Selecting previously unselected package libgcc-14-dev:amd64. 239s Preparing to unpack .../14-libgcc-14-dev_14.2.0-17ubuntu3_amd64.deb ... 239s Unpacking libgcc-14-dev:amd64 (14.2.0-17ubuntu3) ... 240s Selecting previously unselected package gcc-14-x86-64-linux-gnu. 240s Preparing to unpack .../15-gcc-14-x86-64-linux-gnu_14.2.0-17ubuntu3_amd64.deb ... 240s Unpacking gcc-14-x86-64-linux-gnu (14.2.0-17ubuntu3) ... 240s Selecting previously unselected package gcc-14. 240s Preparing to unpack .../16-gcc-14_14.2.0-17ubuntu3_amd64.deb ... 240s Unpacking gcc-14 (14.2.0-17ubuntu3) ... 240s Selecting previously unselected package gcc-x86-64-linux-gnu. 240s Preparing to unpack .../17-gcc-x86-64-linux-gnu_4%3a14.2.0-1ubuntu1_amd64.deb ... 240s Unpacking gcc-x86-64-linux-gnu (4:14.2.0-1ubuntu1) ... 240s Selecting previously unselected package gcc. 240s Preparing to unpack .../18-gcc_4%3a14.2.0-1ubuntu1_amd64.deb ... 240s Unpacking gcc (4:14.2.0-1ubuntu1) ... 240s Selecting previously unselected package libstdc++-14-dev:amd64. 240s Preparing to unpack .../19-libstdc++-14-dev_14.2.0-17ubuntu3_amd64.deb ... 240s Unpacking libstdc++-14-dev:amd64 (14.2.0-17ubuntu3) ... 240s Selecting previously unselected package g++-14-x86-64-linux-gnu. 240s Preparing to unpack .../20-g++-14-x86-64-linux-gnu_14.2.0-17ubuntu3_amd64.deb ... 240s Unpacking g++-14-x86-64-linux-gnu (14.2.0-17ubuntu3) ... 240s Selecting previously unselected package g++-14. 240s Preparing to unpack .../21-g++-14_14.2.0-17ubuntu3_amd64.deb ... 240s Unpacking g++-14 (14.2.0-17ubuntu3) ... 240s Selecting previously unselected package g++-x86-64-linux-gnu. 240s Preparing to unpack .../22-g++-x86-64-linux-gnu_4%3a14.2.0-1ubuntu1_amd64.deb ... 240s Unpacking g++-x86-64-linux-gnu (4:14.2.0-1ubuntu1) ... 241s Selecting previously unselected package g++. 241s Preparing to unpack .../23-g++_4%3a14.2.0-1ubuntu1_amd64.deb ... 241s Unpacking g++ (4:14.2.0-1ubuntu1) ... 241s Selecting previously unselected package build-essential. 241s Preparing to unpack .../24-build-essential_12.10ubuntu1_amd64.deb ... 241s Unpacking build-essential (12.10ubuntu1) ... 241s Selecting previously unselected package dctrl-tools. 241s Preparing to unpack .../25-dctrl-tools_2.24-3build3_amd64.deb ... 241s Unpacking dctrl-tools (2.24-3build3) ... 241s Selecting previously unselected package libgfortran-14-dev:amd64. 241s Preparing to unpack .../26-libgfortran-14-dev_14.2.0-17ubuntu3_amd64.deb ... 241s Unpacking libgfortran-14-dev:amd64 (14.2.0-17ubuntu3) ... 241s Selecting previously unselected package gfortran-14-x86-64-linux-gnu. 241s Preparing to unpack .../27-gfortran-14-x86-64-linux-gnu_14.2.0-17ubuntu3_amd64.deb ... 241s Unpacking gfortran-14-x86-64-linux-gnu (14.2.0-17ubuntu3) ... 241s Selecting previously unselected package gfortran-14. 241s Preparing to unpack .../28-gfortran-14_14.2.0-17ubuntu3_amd64.deb ... 241s Unpacking gfortran-14 (14.2.0-17ubuntu3) ... 241s Selecting previously unselected package gfortran-x86-64-linux-gnu. 241s Preparing to unpack .../29-gfortran-x86-64-linux-gnu_4%3a14.2.0-1ubuntu1_amd64.deb ... 241s Unpacking gfortran-x86-64-linux-gnu (4:14.2.0-1ubuntu1) ... 241s Selecting previously unselected package gfortran. 241s Preparing to unpack .../30-gfortran_4%3a14.2.0-1ubuntu1_amd64.deb ... 241s Unpacking gfortran (4:14.2.0-1ubuntu1) ... 241s Selecting previously unselected package icu-devtools. 241s Preparing to unpack .../31-icu-devtools_76.1-1ubuntu2_amd64.deb ... 241s Unpacking icu-devtools (76.1-1ubuntu2) ... 241s Selecting previously unselected package libblas-dev:amd64. 241s Preparing to unpack .../32-libblas-dev_3.12.1-2_amd64.deb ... 241s Unpacking libblas-dev:amd64 (3.12.1-2) ... 241s Selecting previously unselected package libbz2-dev:amd64. 241s Preparing to unpack .../33-libbz2-dev_1.0.8-6_amd64.deb ... 241s Unpacking libbz2-dev:amd64 (1.0.8-6) ... 241s Selecting previously unselected package libdeflate-dev:amd64. 241s Preparing to unpack .../34-libdeflate-dev_1.23-1_amd64.deb ... 241s Unpacking libdeflate-dev:amd64 (1.23-1) ... 241s Selecting previously unselected package libicu-dev:amd64. 241s Preparing to unpack .../35-libicu-dev_76.1-1ubuntu2_amd64.deb ... 241s Unpacking libicu-dev:amd64 (76.1-1ubuntu2) ... 241s Selecting previously unselected package libjpeg-turbo8-dev:amd64. 241s Preparing to unpack .../36-libjpeg-turbo8-dev_2.1.5-3ubuntu2_amd64.deb ... 241s Unpacking libjpeg-turbo8-dev:amd64 (2.1.5-3ubuntu2) ... 242s Selecting previously unselected package libjpeg8-dev:amd64. 242s Preparing to unpack .../37-libjpeg8-dev_8c-2ubuntu11_amd64.deb ... 242s Unpacking libjpeg8-dev:amd64 (8c-2ubuntu11) ... 242s Selecting previously unselected package libjpeg-dev:amd64. 242s Preparing to unpack .../38-libjpeg-dev_8c-2ubuntu11_amd64.deb ... 242s Unpacking libjpeg-dev:amd64 (8c-2ubuntu11) ... 242s Selecting previously unselected package liblapack-dev:amd64. 242s Preparing to unpack .../39-liblapack-dev_3.12.1-2_amd64.deb ... 242s Unpacking liblapack-dev:amd64 (3.12.1-2) ... 242s Selecting previously unselected package libncurses-dev:amd64. 242s Preparing to unpack .../40-libncurses-dev_6.5+20250216-2_amd64.deb ... 242s Unpacking libncurses-dev:amd64 (6.5+20250216-2) ... 242s Selecting previously unselected package libpcre2-16-0:amd64. 242s Preparing to unpack .../41-libpcre2-16-0_10.45-1_amd64.deb ... 242s Unpacking libpcre2-16-0:amd64 (10.45-1) ... 242s Selecting previously unselected package libpcre2-32-0:amd64. 242s Preparing to unpack .../42-libpcre2-32-0_10.45-1_amd64.deb ... 242s Unpacking libpcre2-32-0:amd64 (10.45-1) ... 242s Selecting previously unselected package libpcre2-posix3:amd64. 242s Preparing to unpack .../43-libpcre2-posix3_10.45-1_amd64.deb ... 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Unpacking pkg-r-autopkgtest (20231212ubuntu1) ... 242s Setting up libjpeg-turbo8-dev:amd64 (2.1.5-3ubuntu2) ... 242s Setting up libncurses-dev:amd64 (6.5+20250216-2) ... 242s Setting up libreadline-dev:amd64 (8.2-6) ... 242s Setting up libpcre2-16-0:amd64 (10.45-1) ... 242s Setting up libpcre2-32-0:amd64 (10.45-1) ... 242s Setting up libtirpc-dev:amd64 (1.3.4+ds-1.3) ... 242s Setting up libpkgconf3:amd64 (1.8.1-4) ... 242s Setting up libquadmath0:amd64 (15-20250222-0ubuntu1) ... 242s Setting up libmpc3:amd64 (1.3.1-1build2) ... 242s Setting up icu-devtools (76.1-1ubuntu2) ... 242s Setting up pkgconf-bin (1.8.1-4) ... 242s Setting up liblzma-dev:amd64 (5.6.4-1) ... 242s Setting up libubsan1:amd64 (15-20250222-0ubuntu1) ... 242s Setting up zlib1g-dev:amd64 (1:1.3.dfsg+really1.3.1-1ubuntu1) ... 242s Setting up libpcre2-posix3:amd64 (10.45-1) ... 242s Setting up libhwasan0:amd64 (15-20250222-0ubuntu1) ... 242s Setting up libasan8:amd64 (15-20250222-0ubuntu1) ... 242s Setting up libtsan2:amd64 (15-20250222-0ubuntu1) ... 242s Setting up libjpeg8-dev:amd64 (8c-2ubuntu11) ... 242s Setting up libisl23:amd64 (0.27-1) ... 242s Setting up libdeflate-dev:amd64 (1.23-1) ... 242s Setting up libicu-dev:amd64 (76.1-1ubuntu2) ... 242s Setting up libcc1-0:amd64 (15-20250222-0ubuntu1) ... 242s Setting up liblsan0:amd64 (15-20250222-0ubuntu1) ... 242s Setting up libblas-dev:amd64 (3.12.1-2) ... 242s update-alternatives: using /usr/lib/x86_64-linux-gnu/blas/libblas.so to provide /usr/lib/x86_64-linux-gnu/libblas.so (libblas.so-x86_64-linux-gnu) in auto mode 242s Setting up dctrl-tools (2.24-3build3) ... 242s Setting up libitm1:amd64 (15-20250222-0ubuntu1) ... 242s Setting up libbz2-dev:amd64 (1.0.8-6) ... 242s Setting up libpcre2-dev:amd64 (10.45-1) ... 242s Setting up libpng-dev:amd64 (1.6.47-1) ... 242s Setting up libjpeg-dev:amd64 (8c-2ubuntu11) ... 242s Setting up pkgconf:amd64 (1.8.1-4) ... 242s Setting up liblapack-dev:amd64 (3.12.1-2) ... 242s update-alternatives: using 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242s Setting up gfortran-x86-64-linux-gnu (4:14.2.0-1ubuntu1) ... 242s Setting up gcc (4:14.2.0-1ubuntu1) ... 242s Setting up g++ (4:14.2.0-1ubuntu1) ... 242s update-alternatives: using /usr/bin/g++ to provide /usr/bin/c++ (c++) in auto mode 242s Setting up build-essential (12.10ubuntu1) ... 242s Setting up gfortran (4:14.2.0-1ubuntu1) ... 242s update-alternatives: using /usr/bin/gfortran to provide /usr/bin/f95 (f95) in auto mode 242s 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 242s update-alternatives: using /usr/bin/gfortran to provide /usr/bin/f77 (f77) in auto mode 242s 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 242s Setting up r-base-dev (4.4.3-1) ... 242s Setting up pkg-r-autopkgtest (20231212ubuntu1) ... 242s Processing triggers for libc-bin (2.41-1ubuntu2) ... 242s Processing triggers for man-db (2.13.0-1) ... 244s Processing triggers for install-info (7.1.1-1) ... 245s autopkgtest [22:30:37]: test pkg-r-autopkgtest: /usr/share/dh-r/pkg-r-autopkgtest 245s autopkgtest [22:30:37]: test pkg-r-autopkgtest: [----------------------- 245s Test: Try to load the R library rrcov 245s 245s R version 4.4.3 (2025-02-28) -- "Trophy Case" 245s Copyright (C) 2025 The R Foundation for Statistical Computing 245s Platform: x86_64-pc-linux-gnu 245s 245s R is free software and comes with ABSOLUTELY NO WARRANTY. 245s You are welcome to redistribute it under certain conditions. 245s Type 'license()' or 'licence()' for distribution details. 245s 245s R is a collaborative project with many contributors. 245s Type 'contributors()' for more information and 245s 'citation()' on how to cite R or R packages in publications. 245s 245s Type 'demo()' for some demos, 'help()' for on-line help, or 245s 'help.start()' for an HTML browser interface to help. 245s Type 'q()' to quit R. 245s 245s > library('rrcov') 245s Loading required package: robustbase 245s Scalable Robust Estimators with High Breakdown Point (version 1.7-6) 245s 245s > 245s > 245s Other tests are currently unsupported! 245s They will be progressively added. 246s autopkgtest [22:30:38]: test pkg-r-autopkgtest: -----------------------] 246s pkg-r-autopkgtest PASS 246s autopkgtest [22:30:38]: test pkg-r-autopkgtest: - - - - - - - - - - results - - - - - - - - - - 247s autopkgtest [22:30:39]: @@@@@@@@@@@@@@@@@@@@ summary 247s run-unit-test PASS 247s pkg-r-autopkgtest PASS 265s nova [W] Skipping flock for amd64 265s Creating nova instance adt-plucky-amd64-r-cran-rrcov-20250315-222631-juju-7f2275-prod-proposed-migration-environment-15-69fbd184-9b28-4209-aed8-ff3467eccfaa from image adt/ubuntu-plucky-amd64-server-20250304.img (UUID 9c7d4da5-d95f-4c85-ac1f-51eb37e75c4c)... 265s nova [W] Timed out waiting for d124967f-3033-4a0b-9724-5baec9556f6b to get deleted.