Assignment 8
Darwhin Gomez
2024-11-11
7.2.
## Friedman (1991) introduced several benchmark data sets create by sim ulation. One of these simulations used the following nonlinear equation to create data:
y =10sin(πx1x2) +20(x3 −0.5)2 +10x4 +5x5 +N(0,σ2)
where the x values are random variables uniformly distributed between [0, 1] (there are also 5 other non-informative variables also created in the simula tion). The package mlbench contains a function called mlbench.friedman1 that simulates these data:
## $x
## X1 X2 X3 X4 X5 X6
## 1 0.30776611 0.36959607 0.5112374204 0.031766335 0.0994260872 0.074048296
## 2 0.25767250 0.95632284 0.2777106559 0.579705492 0.2299340756 0.111866358
## 3 0.55232243 0.91357666 0.3606569283 0.154204836 0.4436262054 0.623944005
## 4 0.05638315 0.82333634 0.4375278510 0.125270503 0.5157049047 0.671081800
## 5 0.46854928 0.31948216 0.8030667314 0.147985811 0.9248942458 0.365894210
## 6 0.48377074 0.87770033 0.5206097285 0.913342628 0.0444568363 0.183181388
## 7 0.81240262 0.80035100 0.6961520705 0.257430407 0.1491565800 0.026719702
## 8 0.37032054 0.61135664 0.8478368984 0.542465295 0.8481738840 0.490452523
## 9 0.54655860 0.07242114 0.8457092519 0.649022463 0.1529559076 0.595927963
## 10 0.17026205 0.42158771 0.3918757404 0.149194370 0.8249667988 0.956143547
## 11 0.62499648 0.34446560 0.1535137568 0.848940450 0.8631921196 0.358389122
## 12 0.88216552 0.75173569 0.6394257932 0.293505082 0.6543586599 0.179455735
## 13 0.28035384 0.21875132 0.2871710216 0.552142001 0.0220086016 0.992507246
## 14 0.39848790 0.29213397 0.9283378811 0.873134855 0.9979430493 0.030701740
## 15 0.76255108 0.35595337 0.1556361194 0.646984442 0.1476474060 0.723105238
## 16 0.66902171 0.63196192 0.9638416641 0.397183392 0.0825577057 0.044423301
## 17 0.20461216 0.89253107 0.0012604799 0.029533450 0.7976932214 0.282239746
## 18 0.35752485 0.74403278 0.7075262053 0.356859171 0.3440654075 0.057903861
## 19 0.35947511 0.45722242 0.6301876018 0.698544672 0.7286060092 0.657859472
## 20 0.69029053 0.03609544 0.7730780446 0.299448328 0.3410495843 0.900996441
## 21 0.53581115 0.56851452 0.8926068812 0.804871990 0.8608303124 0.481952173
## 22 0.71080385 0.43901589 0.5112040832 0.774279111 0.4072234400 0.718140758
## 23 0.53834870 0.60048445 0.7490010730 0.211135178 0.5685604715 0.670357311
## 24 0.74897223 0.95138276 0.9263797966 0.377163417 0.9015503402 0.369554271
## 25 0.42010145 0.26943131 0.0917535194 0.311373628 0.9352645874 0.987303669
## 26 0.17142021 0.65883839 0.4966554858 0.897573769 0.8472000654 0.357945790
## 27 0.77030161 0.07647121 0.1975012596 0.416461456 0.4140229521 0.278885732
## 28 0.88195359 0.07128521 0.9941329013 0.835883982 0.3474344276 0.295218332
## 29 0.54909671 0.37033152 0.0368210422 0.321439728 0.4568983915 0.725533662
## 30 0.27772376 0.29710220 0.2175630701 0.137396708 0.9037745774 0.523708142
## 31 0.48830599 0.55107827 0.8909361428 0.617712915 0.3602777214 0.898709600
## 32 0.92850507 0.36989059 0.1189364642 0.675416509 0.5791492232 0.554534343
## 33 0.34869198 0.84568953 0.3690389942 0.272432104 0.6281828401 0.180944595
## 34 0.95415771 0.62079070 0.1623764301 0.186206969 0.7134869962 0.987677412
## 35 0.69527414 0.39914002 0.1666915186 0.330326371 0.0220602453 0.084494587
## 36 0.88945354 0.29966153 0.9725047122 0.121819999 0.4969065846 0.280153437
## 37 0.18040725 0.38111984 0.8103997440 0.235530552 0.4405028000 0.386777909
## 38 0.62939085 0.70113494 0.9533276304 0.932846630 0.5577421037 0.667581453
## 39 0.98956414 0.94686529 0.3999105268 0.782541414 0.1756188539 0.532471244
## 40 0.13028887 0.77282832 0.8522473196 0.451765149 0.5635869007 0.230961328
## 41 0.33066053 0.21955016 0.0645228573 0.110800071 0.6096523490 0.632278959
## 42 0.86512055 0.71611036 0.3025287671 0.888677896 0.6390128997 0.538720104
## 43 0.77758444 0.66421796 0.4904728676 0.813587458 0.7929890070 0.714349858
## 44 0.82730345 0.70625020 0.6462612394 0.196786764 0.3464461036 0.777633956
## 45 0.60332436 0.27962799 0.5106343264 0.600222423 0.3335031627 0.175094450
## 46 0.49123182 0.71225050 0.7972592346 0.039957963 0.9874712862 0.783995329
## 47 0.78035851 0.66094211 0.5650089453 0.473761984 0.7164507983 0.957895490
## 48 0.88422703 0.04101269 0.3535239859 0.776964946 0.4110368493 0.881403523
## 49 0.20771390 0.06114149 0.6590999437 0.579832911 0.5702433558 0.943892431
## 50 0.30708590 0.27976169 0.2392745761 0.321991737 0.1049496075 0.169567442
## 51 0.33052985 0.30196772 0.2652107875 0.993388399 0.8672685213 0.149763888
## 52 0.19867907 0.95661083 0.5182688513 0.496269367 0.4778781414 0.151125897
## 53 0.23569430 0.38981872 0.7379108686 0.681448376 0.2785666285 0.644125225
## 54 0.27488666 0.37178879 0.7796109060 0.737922634 0.4630207387 0.667740967
## 55 0.59132105 0.84314249 0.1146943965 0.907612953 0.0410848528 0.669545366
## 56 0.25339065 0.84723500 0.6123733493 0.441479176 0.8743469159 0.210182590
## 57 0.12348723 0.31933115 0.9109361754 0.748124177 0.7433382492 0.189972935
## 58 0.22990589 0.13250605 0.6340214594 0.754517887 0.0726328203 0.477299556
## 59 0.59757529 0.61710912 0.2746640330 0.445359526 0.4259650176 0.776646862
## 60 0.21140856 0.79130451 0.3528353381 0.366376052 0.5157740989 0.773280044
## 61 0.46370118 0.33804871 0.6708293566 0.079096999 0.7387045722 0.525627148
## 62 0.64710119 0.90544760 0.9067114191 0.205195134 0.2680203572 0.979644698
## 63 0.96057309 0.19755671 0.7302358318 0.885000820 0.4872992872 0.989232731
## 64 0.67639817 0.79408518 0.9197669888 0.916921713 0.9623953735 0.526594938
## 65 0.44514802 0.75460289 0.3824332571 0.617564355 0.8418851502 0.096804257
## 66 0.35777378 0.91139485 0.8541405378 0.366041041 0.2681082212 0.568567172
## 67 0.45573146 0.32268770 0.0547340901 0.675886585 0.2607396969 0.140151879
## 68 0.44541398 0.08616947 0.2539860290 0.410419659 0.9133851803 0.590034010
## 69 0.24509259 0.91120045 0.3671289976 0.669335288 0.5991072529 0.931667195
## 70 0.69435071 0.95517383 0.3605704079 0.910149408 0.0636683633 0.199648173
## 71 0.41223704 0.67114294 0.2805165309 0.414875424 0.7173663327 0.408749218
## 72 0.32772587 0.74498220 0.3886925101 0.152951632 0.7421439788 0.369433298
## 73 0.57256477 0.44001698 0.3481344425 0.377473720 0.2627069724 0.746998376
## 74 0.96699908 0.11503942 0.2789230670 0.465790255 0.5300226500 0.112991960
## 75 0.66177902 0.67564278 0.8010881350 0.244270759 0.8043558830 0.122959867
## 76 0.62469772 0.73155952 0.9950138407 0.118219357 0.7278188856 0.719678602
## 77 0.85665304 0.48398490 0.7532419621 0.008282355 0.8653947313 0.860271707
## 78 0.77477889 0.17104804 0.6033429285 0.650868898 0.0463959803 0.240911902
## 79 0.83402710 0.67584853 0.5939481801 0.056565584 0.0080812450 0.664294360
## 80 0.09151028 0.26298995 0.5822902881 0.130109230 0.9393897916 0.318897862
## 81 0.45952549 0.34148083 0.2386592855 0.960689858 0.2416624320 0.781142135
## 82 0.59939816 0.21024554 0.4542843816 0.259571558 0.8997069411 0.659678282
## 83 0.91972191 0.01631959 0.9955166257 0.009066601 0.5113481141 0.234904852
## 84 0.98282408 0.37676288 0.0827459826 0.992870629 0.6969351373 0.245747464
## 85 0.03780258 0.56230740 0.0519060055 0.652903802 0.9570553503 0.694650320
## 86 0.57793740 0.67998461 0.4937972128 0.724484820 0.0541673789 0.243674024
## 87 0.73331417 0.74538877 0.0539935965 0.714281988 0.1295977051 0.561437565
## 88 0.24874240 0.95007272 0.9504485731 0.825024178 0.7682044986 0.796577516
## 89 0.30073652 0.16309071 0.6331912614 0.148244921 0.8613149433 0.621433270
## 90 0.73346670 0.32475690 0.2699370806 0.675003473 0.7278726187 0.470291764
## 91 0.90695438 0.13271604 0.9968129364 0.846872858 0.9042041593 0.624193681
## 92 0.20981677 0.63729744 0.3588041114 0.992584993 0.7415114422 0.999853646
## 93 0.35813799 0.33092961 0.3717620778 0.304093186 0.1615115390 0.760427968
## 94 0.44829914 0.64907957 0.3302263985 0.145394889 0.4824496026 0.120353439
## 95 0.90642643 0.30288836 0.1043955134 0.519036944 0.4100493968 0.321884584
## 96 0.38943930 0.07123327 0.5799014289 0.832152318 0.4659072638 0.772022799
## 97 0.51745975 0.66239047 0.3330894660 0.918171508 0.4434991970 0.955274683
## 98 0.12523909 0.75960356 0.0037775792 0.348103863 0.0265242036 0.398758557
## 99 0.03014575 0.55336017 0.9945961095 0.332689337 0.6539522654 0.194347731
## 100 0.77180549 0.53927210 0.3692348611 0.838867004 0.3905836442 0.983098178
## 101 0.32741508 0.84959232 0.2202325612 0.446239590 0.0262239345 0.146438859
## 102 0.38947869 0.65322596 0.7431595023 0.694593564 0.2910003348 0.807343557
## 103 0.04105275 0.95088576 0.3059573120 0.902810826 0.0004488295 0.702470279
## 104 0.36139663 0.61722305 0.4022088493 0.029474204 0.6454668748 0.799476550
## 105 0.57097808 0.49284063 0.3935714429 0.471807718 0.8269246418 0.530801191
## 106 0.68488024 0.97600657 0.4407564539 0.408890214 0.7549124290 0.460155032
## 107 0.97111675 0.49034522 0.7728050761 0.336940273 0.5148178525 0.152719084
## 108 0.70195881 0.65517230 0.2095690435 0.663275549 0.6195992520 0.998106720
## 109 0.01154550 0.59880179 0.7481226882 0.873135848 0.3979892961 0.557312655
## 110 0.53553213 0.94756902 0.5853551526 0.086759413 0.4305372024 0.492183291
## 111 0.83657146 0.36801151 0.3244471955 0.334643598 0.6347250536 0.412586614
## 112 0.80686674 0.87818701 0.3750474500 0.933748877 0.4797932676 0.257401745
## 113 0.08093264 0.45487507 0.0269371939 0.918592991 0.5593633349 0.164202531
## 114 0.23890930 0.49646702 0.4833348761 0.686753216 0.5097432989 0.871655252
## 115 0.96598986 0.46061562 0.9700804388 0.383543578 0.8265101276 0.631293145
## 116 0.03767233 0.61790820 0.0003950703 0.008982167 0.5600976583 0.963963124
## 117 0.91640643 0.60414349 0.1057025485 0.719938769 0.0132807584 0.943785176
## 118 0.72622658 0.78587960 0.4399432044 0.480926614 0.4755937520 0.955002926
## 119 0.20077621 0.55526847 0.3122987410 0.003722787 0.0364418153 0.897926668
## 120 0.84020075 0.76897834 0.9713328420 0.572111683 0.2448342000 0.421930267
## 121 0.39666235 0.40428567 0.5852688691 0.080655038 0.9546872040 0.998057382
## 122 0.39270226 0.51071981 0.7339286285 0.379890728 0.2696251650 0.775501184
## 123 0.47255689 0.52353644 0.6635271511 0.999523677 0.0472132596 0.752772056
## 124 0.58365691 0.99279921 0.7229845193 0.097467466 0.9617045652 0.141268633
## 125 0.35238717 0.42964742 0.1110149436 0.804216082 0.0411765689 0.249210565
## 126 0.02847401 0.99601125 0.2185792171 0.084229584 0.5685715808 0.585415466
## 127 0.99508793 0.78660025 0.6225663018 0.877182388 0.4893754795 0.434916571
## 128 0.95755846 0.51591063 0.9592804280 0.982542838 0.8156825237 0.114269629
## 129 0.55165118 0.50268797 0.8123157280 0.609853369 0.5262332316 0.761027492
## 130 0.10195396 0.91163748 0.0221628349 0.684833081 0.8368379199 0.892411956
## 131 0.23791515 0.26441590 0.6825390456 0.494595101 0.0718262950 0.146017209
## 132 0.86009766 0.17385687 0.8307875313 0.275989021 0.7455581927 0.381221835
## 133 0.73826129 0.40033126 0.8078064425 0.003721118 0.3374601963 0.169478398
## 134 0.49731226 0.53835738 0.8418451962 0.664426274 0.6204041298 0.999622951
## 135 0.57992109 0.24496437 0.1876676735 0.548279016 0.7179785939 0.172281613
## 136 0.01618339 0.37585096 0.0949448342 0.596033634 0.9496248781 0.548413014
## 137 0.47212988 0.58025355 0.4488151143 0.308346305 0.2719512167 0.588928068
## 138 0.04238973 0.20895531 0.6004804880 0.897289331 0.9718085302 0.927986601
## 139 0.46315442 0.80133001 0.8635722811 0.916157075 0.4724074309 0.640372698
## 140 0.62999477 0.63880242 0.8514558950 0.971690540 0.7976263147 0.487533634
## 141 0.67324929 0.73633076 0.6977811693 0.342376201 0.9088888676 0.253437832
## 142 0.08703467 0.43881241 0.6439721654 0.928428851 0.9906902050 0.131614503
## 143 0.14358380 0.57981238 0.6546971288 0.918632505 0.2213202249 0.449664838
## 144 0.90847850 0.25604401 0.8803548680 0.691446334 0.1924467573 0.789089967
## 145 0.12253259 0.46371823 0.8569371656 0.769923869 0.7099349364 0.949743764
## 146 0.72886279 0.16861486 0.8468295794 0.602196601 0.8457011958 0.361604516
## 147 0.95037718 0.61389453 0.3265210520 0.769321489 0.0437571695 0.306042858
## 148 0.04335591 0.95810262 0.5470013041 0.097983083 0.7283248159 0.367767893
## 149 0.01959930 0.47819473 0.7343759690 0.231752394 0.2991912132 0.302059255
## 150 0.19907246 0.75115933 0.8052955386 0.706835322 0.2576841901 0.058446434
## 151 0.50508626 0.02058322 0.2064400080 0.028821961 0.9804799608 0.910469695
## 152 0.92638876 0.17096903 0.8801616649 0.631142367 0.8653444445 0.149091309
## 153 0.13840169 0.63996650 0.3960763614 0.672157781 0.6641179975 0.534857797
## 154 0.16919458 0.16497848 0.9830069796 0.452885734 0.8688727603 0.342600671
## 155 0.60662738 0.35472278 0.5614219203 0.675898803 0.8434061243 0.704598499
## 156 0.81587669 0.18642647 0.9086144671 0.009393311 0.9666821721 0.536068066
## 157 0.84338121 0.89765616 0.7151337676 0.063480382 0.9132655612 0.932174849
## 158 0.78807719 0.23778386 0.2356364124 0.279233183 0.2836070871 0.943759067
## 159 0.01902087 0.98494348 0.0039051792 0.467886943 0.4578090804 0.809700371
## 160 0.69808750 0.02133074 0.4793805082 0.776457262 0.8689027121 0.565672869
## 161 0.81509312 0.10753897 0.8721331256 0.366924266 0.5165516310 0.690012311
## 162 0.56840006 0.24482683 0.2623272671 0.900720072 0.2658771435 0.413597689
## 163 0.48006288 0.72236241 0.6634045555 0.521405264 0.8686213219 0.402317170
## 164 0.16137012 0.03273494 0.8796447231 0.289609326 0.6901659735 0.011976228
## 165 0.08925623 0.54934999 0.9115052556 0.244583334 0.5945103467 0.233068860
## 166 0.16268237 0.68280868 0.3903184666 0.589133301 0.9235723831 0.217937226
## 167 0.02672845 0.30024090 0.8651506912 0.380756364 0.1493828474 0.808993577
## 168 0.70962948 0.38877446 0.5146185814 0.705413333 0.8064511195 0.541325973
## 169 0.76101818 0.73244615 0.7411989463 0.116040773 0.3114460232 0.223447104
## 170 0.85747478 0.96249642 0.9602066136 0.598454862 0.9208744697 0.335785166
## 171 0.43726582 0.76059617 0.5697099713 0.846073140 0.6495810472 0.656496287
## 172 0.41713645 0.58167316 0.3110995081 0.350864020 0.1783565462 0.696957609
## 173 0.58564949 0.46287299 0.7433016279 0.316167029 0.4413796300 0.297452353
## 174 0.82496758 0.35630962 0.4504729696 0.780196068 0.7546392297 0.396184891
## 175 0.79313923 0.38392182 0.4738918107 0.254789922 0.2576926639 0.500004759
## 176 0.32615257 0.20578103 0.4744165663 0.840200149 0.9989377656 0.979932919
## 177 0.95793194 0.13878037 0.7407055742 0.751392944 0.5224501409 0.793372326
## 178 0.65301961 0.38908214 0.1071925669 0.308782266 0.9981128222 0.753225460
## 179 0.45867582 0.26604622 0.6421807767 0.458046929 0.4026084305 0.606081025
## 180 0.60602188 0.70329628 0.4221840035 0.414898014 0.5843024231 0.291302044
## 181 0.28872194 0.40787817 0.8005092293 0.325016026 0.8918118891 0.349007594
## 182 0.71783084 0.26556419 0.6167882476 0.135616546 0.8534271207 0.364771754
## 183 0.92339744 0.40097786 0.2493683256 0.910110965 0.4292331270 0.372681924
## 184 0.67493949 0.19731313 0.6812233408 0.150384865 0.2787725986 0.128495624
## 185 0.18593999 0.82993169 0.3477386320 0.837922945 0.8918579654 0.953522193
## 186 0.34806716 0.52798773 0.8914637144 0.544273399 0.9873077427 0.115461037
## 187 0.12351953 0.39513019 0.6572394262 0.115952749 0.1395892045 0.001983741
## 188 0.10811622 0.57396657 0.9386654657 0.044229344 0.5403982888 0.317312683
## 189 0.29795320 0.97097207 0.1341775106 0.282693473 0.3105859275 0.733074472
## 190 0.83819990 0.65014983 0.9724600734 0.881263746 0.8520803752 0.027663035
## 191 0.99277109 0.33360116 0.3507485189 0.836947951 0.0435301224 0.013777922
## 192 0.43713441 0.33144743 0.2370002337 0.057761824 0.3721722844 0.304183315
## 193 0.20256457 0.94243488 0.6156287836 0.048721011 0.5159765771 0.392545077
## 194 0.96387150 0.38111249 0.7471337013 0.316636332 0.7677630151 0.866850457
## 195 0.66038711 0.56432392 0.9635183825 0.131432124 0.2873498579 0.178233114
## 196 0.29811683 0.51151569 0.9326846676 0.035612436 0.8166487757 0.496499726
## 197 0.11926219 0.13886056 0.7921867422 0.120834680 0.0052734755 0.379694718
## 198 0.59975160 0.23978941 0.3117346237 0.567882622 0.0223096041 0.190654986
## 199 0.12019055 0.71800910 0.0934134405 0.127340811 0.2429706121 0.994402615
## 200 0.78843202 0.29722378 0.2072938555 0.758052353 0.8313589729 0.028777078
## X7 X8 X9 X10
## 1 0.973458072 0.693972470 0.376184175 0.57044188
## 2 0.771742517 0.202279339 0.229491826 0.47866167
## 3 0.494979990 0.522201575 0.969307939 0.30722717
## 4 0.392606059 0.813396338 0.131597392 0.88554257
## 5 0.105305870 0.916158199 0.609028496 0.54182441
## 6 0.356070566 0.946388445 0.284045842 0.42213317
## 7 0.780769942 0.813432247 0.263594302 0.11916849
## 8 0.637963134 0.549542098 0.950865732 0.67138137
## 9 0.789269735 0.069797633 0.820791990 0.79867491
## 10 0.807865057 0.062319819 0.452669792 0.15219687
## 11 0.066967647 0.977735519 0.583413674 0.60302169
## 12 0.463041426 0.570571361 0.345205690 0.25304986
## 13 0.721013686 0.817313494 0.027791464 0.16331902
## 14 0.674881998 0.602071855 0.460380431 0.13843190
## 15 0.200270209 0.735559979 0.385074523 0.98721485
## 16 0.416621240 0.798843008 0.108875749 0.27033643
## 17 0.219470031 0.899830600 0.050881227 0.27920775
## 18 0.024462509 0.273231871 0.730649507 0.94320639
## 19 0.113417720 0.081294403 0.270535129 0.18233773
## 20 0.269403405 0.028573310 0.016672264 0.87534791
## 21 0.507509401 0.531037571 0.325111343 0.18500999
## 22 0.368089530 0.909991686 0.930813524 0.42389120
## 23 0.085760597 0.042044079 0.912691443 0.29843064
## 24 0.983760030 0.441671153 0.051604795 0.12585046
## 25 0.023289470 0.779766544 0.070364622 0.60225732
## 26 0.628853515 0.241917522 0.840225938 0.33744177
## 27 0.015534221 0.562131148 0.540985850 0.41281517
## 28 0.145463925 0.537444780 0.755434505 0.92029751
## 29 0.526779035 0.304192940 0.578553233 0.93827130
## 30 0.542079985 0.333297051 0.119768048 0.50683327
## 31 0.805175351 0.602511128 0.330112497 0.10652000
## 32 0.603830589 0.972658257 0.900348216 0.25494851
## 33 0.216728884 0.885251973 0.228364848 0.89499939
## 34 0.622855653 0.195130018 0.309552277 0.02215039
## 35 0.289043740 0.668353434 0.770928348 0.40387515
## 36 0.667111522 0.909629349 0.969186244 0.38488114
## 37 0.760201452 0.626953554 0.682690960 0.26672760
## 38 0.306276659 0.725091803 0.356287191 0.05697585
## 39 0.575959667 0.867031560 0.596096553 0.15525083
## 40 0.112562534 0.605250908 0.818059862 0.41934226
## 41 0.949463940 0.991519130 0.604401364 0.47929818
## 42 0.642815416 0.865613346 0.387452040 0.41512030
## 43 0.430328859 0.769829959 0.949844583 0.18466981
## 44 0.546463419 0.535265125 0.341542759 0.20041463
## 45 0.358501132 0.183830237 0.838181524 0.17595943
## 46 0.087422671 0.890520570 0.017796835 0.17444989
## 47 0.984674800 0.775756790 0.364331119 0.89467241
## 48 0.019100138 0.066842066 0.814403104 0.04635594
## 49 0.448254399 0.904437319 0.441184822 0.96406679
## 50 0.270746778 0.837970049 0.262201776 0.24830761
## 51 0.094596345 0.672513192 0.391961331 0.26486956
## 52 0.472251823 0.029529553 0.498419254 0.42333859
## 53 0.745295167 0.197320959 0.891100391 0.42414993
## 54 0.284515948 0.138636800 0.551513068 0.32364933
## 55 0.536572802 0.147331451 0.341822796 0.10696917
## 56 0.766587721 0.929107272 0.454603689 0.20988725
## 57 0.672949492 0.501593275 0.137496739 0.42319477
## 58 0.846425449 0.638075882 0.870249459 0.56568094
## 59 0.706808023 0.077864381 0.720970028 0.66621206
## 60 0.073849637 0.392855044 0.728438452 0.51479998
## 61 0.947467309 0.689873585 0.834255048 0.55702420
## 62 0.416916390 0.585043649 0.660119302 0.73612886
## 63 0.906797833 0.832550942 0.752925019 0.39938269
## 64 0.186582500 0.308830366 0.203545092 0.81097958
## 65 0.461028991 0.696630936 0.852112657 0.23560434
## 66 0.262959693 0.715349178 0.121828631 0.60706410
## 67 0.649597318 0.133346610 0.565267840 0.55784525
## 68 0.250339519 0.324333993 0.831413461 0.07106832
## 69 0.780842539 0.384964663 0.041165304 0.02690782
## 70 0.927335711 0.745140525 0.094164828 0.16479830
## 71 0.657793317 0.972823951 0.640401705 0.21579645
## 72 0.752835202 0.886159773 0.681310798 0.09420056
## 73 0.489316358 0.009119899 0.865221020 0.78529847
## 74 0.146288695 0.662854066 0.283150569 0.35938743
## 75 0.910049457 0.335258069 0.762721385 0.22813485
## 76 0.527467078 0.525870716 0.414597108 0.55189396
## 77 0.771836714 0.420813468 0.247336797 0.00616404
## 78 0.054875824 0.902885072 0.468505195 0.12104151
## 79 0.327557079 0.860213075 0.785841775 0.05932572
## 80 0.416784130 0.852773713 0.216500955 0.30023706
## 81 0.230612763 0.280670691 0.907011286 0.93660453
## 82 0.126819404 0.793337702 0.490047599 0.73761397
## 83 0.197503181 0.416155240 0.977546369 0.96897149
## 84 0.473110297 0.390338759 0.267154379 0.26815712
## 85 0.090110623 0.340038632 0.900693230 0.03404227
## 86 0.544155086 0.043283253 0.271166093 0.77990895
## 87 0.744820195 0.653749314 0.546592726 0.71363126
## 88 0.567039451 0.597868659 0.846082093 0.14614631
## 89 0.360787387 0.090582484 0.825097040 0.35881884
## 90 0.284619912 0.716550993 0.847082068 0.06776624
## 91 0.519716365 0.989592345 0.908736693 0.27950657
## 92 0.849089800 0.681896214 0.944219138 0.70900997
## 93 0.138885293 0.362985108 0.836835295 0.72874107
## 94 0.777302523 0.890084096 0.258382139 0.51136605
## 95 0.514619100 0.374066044 0.744136567 0.70117740
## 96 0.132194049 0.785832419 0.240932147 0.35393372
## 97 0.004350274 0.333975584 0.843022753 0.36509085
## 98 0.317295935 0.608802983 0.808800563 0.02268890
## 99 0.015884194 0.409196929 0.053608424 0.25008597
## 100 0.139087579 0.007509888 0.181448287 0.29179884
## 101 0.862689710 0.477703559 0.399016606 0.38153617
## 102 0.608211681 0.404462601 0.826253708 0.45232278
## 103 0.046057765 0.354929513 0.971815727 0.28517984
## 104 0.569287466 0.224406119 0.003214312 0.62280540
## 105 0.306271997 0.682356996 0.758520066 0.06516503
## 106 0.841200964 0.339149828 0.496161843 0.55112740
## 107 0.098525061 0.475399029 0.246452654 0.88244969
## 108 0.588656687 0.079853043 0.479729257 0.41643242
## 109 0.254510878 0.016681439 0.367821925 0.10100328
## 110 0.131700506 0.435532929 0.094510626 0.70346273
## 111 0.544253852 0.158114555 0.153534471 0.24986157
## 112 0.631808481 0.581415591 0.014591817 0.77336959
## 113 0.954311827 0.302297337 0.950592794 0.33641084
## 114 0.337170245 0.272823381 0.474930371 0.33713784
## 115 0.925341691 0.986454699 0.039895779 0.10438304
## 116 0.094696180 0.017277270 0.024430142 0.93081034
## 117 0.582313555 0.627403576 0.964344572 0.21218051
## 118 0.742853694 0.324525492 0.054958584 0.22049566
## 119 0.296197230 0.100834867 0.081107785 0.87237779
## 120 0.758553318 0.903886507 0.117724924 0.55134324
## 121 0.599558291 0.981174148 0.936330438 0.76929477
## 122 0.990555514 0.597307998 0.296845898 0.91006884
## 123 0.166398281 0.709155346 0.987614575 0.94354428
## 124 0.293871503 0.369138327 0.294011623 0.72594850
## 125 0.520716531 0.977809820 0.673546284 0.86495126
## 126 0.690611549 0.364509288 0.244842791 0.97944961
## 127 0.898416971 0.386835697 0.558873612 0.16290420
## 128 0.329210850 0.344694509 0.382509190 0.62436052
## 129 0.320050030 0.684921451 0.379240430 0.79744511
## 130 0.473803067 0.981478553 0.678012634 0.62661137
## 131 0.296005070 0.084021010 0.915560311 0.05830434
## 132 0.643002406 0.230455835 0.966514423 0.17438099
## 133 0.797160555 0.821973091 0.939702642 0.90619485
## 134 0.825869921 0.030195964 0.191659973 0.27863216
## 135 0.638712386 0.206196191 0.483376691 0.93750371
## 136 0.837419800 0.513071402 0.373704539 0.01024639
## 137 0.674379544 0.258027048 0.158906203 0.49037360
## 138 0.276765654 0.648439016 0.949929616 0.68834352
## 139 0.810438509 0.931770058 0.879786302 0.27104623
## 140 0.298950831 0.080295094 0.659699649 0.07889023
## 141 0.456838721 0.173297388 0.551471281 0.54444402
## 142 0.321288927 0.366316877 0.966430146 0.98894156
## 143 0.007381912 0.120196523 0.467919978 0.64902200
## 144 0.909716415 0.148416507 0.838031981 0.47839375
## 145 0.768987017 0.786143693 0.596769295 0.17087334
## 146 0.006061933 0.515664329 0.173798819 0.92415953
## 147 0.070991962 0.212991755 0.320151337 0.90104810
## 148 0.800179963 0.716312152 0.287075342 0.37331177
## 149 0.646985629 0.838777959 0.519848649 0.80456948
## 150 0.438128093 0.367484299 0.961555571 0.24778541
## 151 0.746835746 0.982450001 0.999006775 0.83712868
## 152 0.488979346 0.376975365 0.211045375 0.49569960
## 153 0.478043541 0.966173188 0.841776328 0.37624073
## 154 0.826841164 0.302526494 0.880471145 0.09970006
## 155 0.567345741 0.652758237 0.320700991 0.51294791
## 156 0.978937840 0.154946083 0.888823475 0.74062765
## 157 0.884757184 0.461897084 0.691725780 0.78553874
## 158 0.465200315 0.167919053 0.658674212 0.32545758
## 159 0.796619675 0.770449555 0.128407827 0.63288218
## 160 0.674475601 0.294673672 0.246534493 0.65943052
## 161 0.903187802 0.871877405 0.097281488 0.82756963
## 162 0.542902389 0.689380216 0.869209955 0.61010627
## 163 0.100118157 0.786237354 0.186340844 0.71525160
## 164 0.784346248 0.408016088 0.464462581 0.22618543
## 165 0.174739727 0.775438312 0.255407970 0.60195737
## 166 0.631585635 0.839436400 0.263226770 0.67789917
## 167 0.643331339 0.377073922 0.394179333 0.40979585
## 168 0.156732715 0.150822544 0.674603045 0.82325484
## 169 0.495887927 0.006337214 0.033664247 0.62186762
## 170 0.364372640 0.491888058 0.686238499 0.49652771
## 171 0.277523597 0.470086427 0.590324672 0.05393087
## 172 0.375348588 0.857763752 0.822487635 0.28534711
## 173 0.822573777 0.176880998 0.757889478 0.18475002
## 174 0.197965225 0.560150238 0.829130032 0.37920090
## 175 0.462556834 0.891551466 0.900898176 0.80391692
## 176 0.733199941 0.774404618 0.457640583 0.53218362
## 177 0.836197246 0.572724013 0.087294348 0.02487760
## 178 0.936154180 0.228703533 0.724892642 0.96107675
## 179 0.184412231 0.799087411 0.526502711 0.82861872
## 180 0.243326853 0.279668061 0.621370952 0.76357934
## 181 0.593790459 0.748771413 0.712995128 0.54143675
## 182 0.457784649 0.370104011 0.386264323 0.57238973
## 183 0.239504271 0.086274267 0.571580363 0.14818318
## 184 0.253332703 0.298254313 0.147402499 0.51000744
## 185 0.095946862 0.747062177 0.029768271 0.76099910
## 186 0.506628082 0.894112278 0.761555608 0.96759758
## 187 0.795988215 0.766148844 0.990426548 0.56957543
## 188 0.056027012 0.869893295 0.437126803 0.11566349
## 189 0.719765122 0.615522658 0.791712536 0.14492068
## 190 0.731300485 0.829866405 0.176863548 0.61951845
## 191 0.087342019 0.174951121 0.485986336 0.24804533
## 192 0.934051532 0.787731918 0.689254847 0.49021188
## 193 0.625086517 0.894071775 0.187574663 0.15512992
## 194 0.902079907 0.942049130 0.209424594 0.75344942
## 195 0.396374685 0.045542070 0.680473472 0.99027040
## 196 0.749527853 0.593081933 0.403229168 0.28839843
## 197 0.118204677 0.930880038 0.955516678 0.12070897
## 198 0.167046419 0.145025169 0.618926044 0.29775204
## 199 0.574268748 0.862417075 0.952667466 0.01611978
## 200 0.592683082 0.229214831 0.150814822 0.67591271
##
## $y
## [1] 5.412931 16.107065 14.734981 6.438693 13.609284 19.845299 13.143850
## [8] 19.679598 10.461482 7.711547 20.414488 14.022134 8.975202 20.885686
## [15] 16.035929 18.824351 14.487765 12.851509 15.601036 6.710743 23.649362
## [22] 18.150911 15.248375 19.650156 14.032838 16.959527 9.067678 16.778267
## [29] 16.281117 9.548045 19.744999 20.571733 14.384335 16.421745 11.905151
## [36] 15.084022 9.749036 25.903291 10.513170 14.164439 10.963547 23.085620
## [43] 22.760801 14.115112 12.382109 16.439104 17.166042 11.352487 9.962025
## [50] 8.200079 18.420854 11.489933 12.521341 15.247312 23.623135 14.030571
## [57] 15.832329 9.533448 17.484499 11.658576 9.964464 16.795656 18.174662
## [64] 24.441106 19.321279 16.332620 17.406317 10.249545 17.627896 17.573675
## [71] 17.728574 12.132801 13.169593 14.616051 18.171810 18.775738 16.088949
## [78] 12.037695 12.998936 8.384363 16.149999 11.295923 8.463263 26.055761
## [85] 14.505635 14.601589 22.308580 23.323770 8.534946 16.728484 21.612579
## [92] 16.793512 7.806692 12.332253 16.281623 12.312873 19.109465 12.017466
## [99] 12.227140 21.026603 14.010512 15.334591 11.761436 11.050259 16.118431
## [106] 14.705824 17.750275 23.806200 12.503476 12.182241 12.910539 17.667627
## [113] 18.709627 13.369580 21.044270 9.822876 21.641835 17.949068 4.879676
## [120] 19.541344 9.536688 10.651929 19.241475 17.940051 16.869416 4.869868
## [127] 17.287718 27.633464 17.172544 18.792592 8.244520 12.273187 10.586850
## [134] 19.099129 15.527921 12.214835 11.167777 13.417991 21.808015 25.599270
## [141] 18.905871 15.567980 12.133341 17.111106 15.574497 15.292383 17.907712
## [148] 6.429899 5.344833 14.286670 6.578185 18.061577 12.579281 14.272613
## [155] 16.269971 13.410412 12.970064 12.531857 15.225756 12.189635 11.695549
## [162] 15.931632 19.887341 8.585073 10.019386 14.868546 7.294858 17.703092
## [169] 14.401072 20.731714 21.914313 11.868368 13.006875 20.380159 12.495023
## [176] 14.720069 15.477657 18.725184 10.316178 18.789921 13.682901 11.197201
## [183] 21.986591 6.715426 18.727588 19.689489 5.321106 8.949122 15.989939
## [190] 27.064190 17.015985 7.429268 9.006285 17.064426 17.300439 12.376388
## [197] 3.480930 10.842029 8.082849 18.296654Tune several models
## k-Nearest Neighbors
##
## 200 samples
## 10 predictor
##
## Pre-processing: centered (10), scaled (10)
## Resampling: Bootstrapped (25 reps)
## Summary of sample sizes: 200, 200, 200, 200, 200, 200, ...
## Resampling results across tuning parameters:
##
## k RMSE Rsquared MAE
## 5 3.533185 0.4774870 2.898956
## 7 3.502551 0.4975106 2.862761
## 9 3.475184 0.5174104 2.832425
## 11 3.452285 0.5388618 2.811275
## 13 3.471341 0.5476062 2.815970
## 15 3.466663 0.5654287 2.815842
## 17 3.465845 0.5792474 2.816261
## 19 3.485848 0.5854602 2.826398
## 21 3.517061 0.5858064 2.858450
## 23 3.547849 0.5848372 2.878512
##
## Rsquared was used to select the optimal model using the largest value.
## The final value used for the model was k = 21.## Multivariate Adaptive Regression Spline
##
## 200 samples
## 10 predictor
##
## Pre-processing: centered (10), scaled (10)
## Resampling: Bootstrapped (25 reps)
## Summary of sample sizes: 200, 200, 200, 200, 200, 200, ...
## Resampling results across tuning parameters:
##
## nprune RMSE Rsquared MAE
## 2 3.868263 0.3842103 3.139259
## 3 3.494278 0.5012929 2.834597
## 4 2.812824 0.6764985 2.269004
## 5 2.511457 0.7370225 2.022915
## 6 2.323047 0.7765739 1.848667
## 7 1.902079 0.8495596 1.512605
## 8 1.798530 0.8647185 1.414294
## 9 1.761677 0.8699765 1.369170
## 10 1.766088 0.8691087 1.376501
## 11 1.795290 0.8655318 1.405872
## 12 1.794348 0.8657322 1.396193
## 13 1.811606 0.8636824 1.411689
## 14 1.820548 0.8619952 1.421489
## 15 1.840907 0.8588165 1.442058
##
## Tuning parameter 'degree' was held constant at a value of 1
## Rsquared was used to select the optimal model using the largest value.
## The final values used for the model were nprune = 9 and degree = 1.## Support Vector Machines with Radial Basis Function Kernel
##
## 200 samples
## 10 predictor
##
## Pre-processing: centered (10), scaled (10)
## Resampling: Bootstrapped (25 reps)
## Summary of sample sizes: 200, 200, 200, 200, 200, 200, ...
## Resampling results across tuning parameters:
##
## C RMSE Rsquared MAE
## 0.25 2.784809 0.7213081 2.217052
## 0.50 2.529132 0.7404709 1.971648
## 1.00 2.404085 0.7581877 1.857364
## 2.00 2.321131 0.7707435 1.787580
## 4.00 2.283035 0.7746800 1.767334
## 8.00 2.302382 0.7694434 1.790045
## 16.00 2.304461 0.7691002 1.793023
## 32.00 2.304429 0.7691082 1.793005
## 64.00 2.304429 0.7691082 1.793005
## 128.00 2.304429 0.7691082 1.793005
##
## Tuning parameter 'sigma' was held constant at a value of 0.07271678
## Rsquared was used to select the optimal model using the largest value.
## The final values used for the model were sigma = 0.07271678 and C = 4.## Neural Network
##
## 200 samples
## 10 predictor
##
## Pre-processing: centered (10), scaled (10)
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 180, 180, 180, 180, 180, 180, ...
## Resampling results across tuning parameters:
##
## decay size RMSE Rsquared MAE
## 0.00 1 3.275870 0.5473129 2.614373
## 0.00 2 3.126371 0.5805436 2.538043
## 0.00 3 2.961602 0.6515118 2.418079
## 0.00 4 2.842680 0.6569294 2.288869
## 0.00 5 2.637831 0.6998895 2.175161
## 0.00 6 2.964566 0.6390744 2.315150
## 0.00 7 3.299544 0.5857268 2.536560
## 0.00 8 3.101541 0.6321648 2.483226
## 0.00 9 3.390979 0.5828986 2.593775
## 0.00 10 3.002307 0.6526483 2.363519
## 0.01 1 3.637995 0.4410715 2.876707
## 0.01 2 3.108337 0.5823112 2.482011
## 0.01 3 3.066785 0.6255759 2.444426
## 0.01 4 2.970730 0.6606864 2.412843
## 0.01 5 2.980371 0.6486312 2.408681
## 0.01 6 3.391528 0.5871446 2.654474
## 0.01 7 3.334556 0.5104528 2.786251
## 0.01 8 3.463918 0.4903223 2.812249
## 0.01 9 3.118473 0.5715230 2.516713
## 0.01 10 2.970755 0.6586950 2.299721
## 0.10 1 3.499455 0.4757066 2.759936
## 0.10 2 3.146231 0.5898302 2.543551
## 0.10 3 2.782354 0.6808048 2.225033
## 0.10 4 3.002455 0.6527479 2.379126
## 0.10 5 2.760992 0.7047623 2.196737
## 0.10 6 2.957029 0.6531646 2.360793
## 0.10 7 3.679163 0.4623846 2.979758
## 0.10 8 3.040999 0.6721390 2.398991
## 0.10 9 3.216753 0.6161458 2.504509
## 0.10 10 3.037704 0.6143997 2.469785
##
## Rsquared was used to select the optimal model using the largest value.
## The final values used for the model were size = 5 and decay = 0.1.Test Models
## RMSE Rsquared MAE
## KNN 3.467175 0.6741064 2.811834
## MARS 1.868228 0.8591140 1.410758
## SVM 2.033144 0.8315281 1.566636
## NNET 3.349946 0.5910171 2.606147Based on the performance values on the test set, MARS was the best model for this data base on the Rsquared. It also had the lowest RMSE, indicaticating that it far out preforms the other models trained here.
## $KNN
## Length Class Mode
## learn 2 -none- list
## k 1 -none- numeric
## theDots 0 -none- list
## xNames 10 -none- character
## problemType 1 -none- character
## tuneValue 1 data.frame list
## obsLevels 1 -none- logical
## param 0 -none- list
##
## $MARS
## Call: earth(x=data.frame[200,10], y=c(5.413,16.11,1...), keepxy=TRUE, degree=1,
## nprune=9)
##
## coefficients
## (Intercept) 22.921198
## h(X1- -0.901364) -3.774019
## h(0.430044-X1) -6.033602
## h(X1-0.430044) 4.039842
## h(0.14566-X2) -3.605096
## h(-0.404554-X3) 4.066603
## h(X3- -0.404554) 2.475100
## h(1.37736-X4) -2.931072
## h(X5- -1.25848) 1.539441
##
## Selected 9 of 18 terms, and 5 of 10 predictors (nprune=9)
## Termination condition: Reached nk 21
## Importance: X4, X1, X2, X5, X3, X6-unused, X7-unused, X8-unused, X9-unused, ...
## Number of terms at each degree of interaction: 1 8 (additive model)
## GCV 2.587705 RSS 433.2982 GRSq 0.8880058 RSq 0.9052909
##
## $SVM
## Length Class Mode
## 1 ksvm S4
##
## $NNET
## a 10-5-1 network with 61 weights
## options were - linear output units decay=0.1
## b->h1 i1->h1 i2->h1 i3->h1 i4->h1 i5->h1 i6->h1 i7->h1 i8->h1 i9->h1
## -6.25 0.07 0.31 1.16 2.51 0.92 -0.54 -0.94 1.60 -0.28
## i10->h1
## -0.43
## b->h2 i1->h2 i2->h2 i3->h2 i4->h2 i5->h2 i6->h2 i7->h2 i8->h2 i9->h2
## -0.26 2.25 0.30 -3.21 0.05 0.25 -0.68 -0.68 -0.39 -0.17
## i10->h2
## -1.21
## b->h3 i1->h3 i2->h3 i3->h3 i4->h3 i5->h3 i6->h3 i7->h3 i8->h3 i9->h3
## 3.09 3.82 8.50 -0.38 4.26 -0.31 1.18 2.36 -1.50 0.33
## i10->h3
## 1.88
## b->h4 i1->h4 i2->h4 i3->h4 i4->h4 i5->h4 i6->h4 i7->h4 i8->h4 i9->h4
## -7.11 0.75 0.34 -2.54 2.47 0.71 0.81 0.59 -0.66 -0.33
## i10->h4
## -0.20
## b->h5 i1->h5 i2->h5 i3->h5 i4->h5 i5->h5 i6->h5 i7->h5 i8->h5 i9->h5
## -1.76 -0.15 0.44 3.89 0.79 1.75 0.64 -0.22 0.85 0.46
## i10->h5
## 0.53
## b->o h1->o h2->o h3->o h4->o h5->o
## 4.70 13.63 7.61 4.66 9.73 7.04The Mars model did correctly select X1- X5.
7.5
7.5. Exercise 6.3 describes data for a chemical manufacturing process. Use the same data imputation, data splitting, and pre-processing steps as before and train several nonlinear regression models.
## [1] 176 57## Yield BiologicalMaterial01 BiologicalMaterial02 BiologicalMaterial03
## 3 1.00422585 2.23914983 1.308996029 -0.05623504
## 4 0.67372192 2.23914983 1.308996029 -0.05623504
## 5 1.25345832 1.48276526 1.893939107 1.13594780
## 6 1.83861281 -0.40819618 0.662088642 -0.59859075
## 7 1.59479844 1.49677238 2.176496356 1.17593716
## 8 1.56228986 0.74038780 1.960860560 1.08846043
## 13 1.76817755 1.06255161 1.373438911 0.57609674
## 16 0.55994187 1.00652312 1.142931681 0.11871842
## 17 0.38656276 2.01503588 0.627388629 -0.18869980
## 19 -0.47491469 1.53879374 1.004131628 -0.10622174
## 21 0.02355025 1.53879374 1.004131628 -0.10622174
## 22 0.54368758 0.93648751 1.522153252 0.74605152
## 24 0.92837248 -0.19808935 0.134152729 -0.68106881
## 25 1.73566897 2.46326378 1.975731995 1.43336867
## 26 -1.81318470 0.26414567 0.012702683 -0.36365326
## 27 -2.66924406 0.68435932 -0.354126026 -1.67830351
## 28 -2.19786960 0.62833083 -0.007125896 -1.06846575
## 30 -0.98963392 0.16609581 1.484974667 2.36062199
## 31 -0.10648408 0.67035220 1.450274654 2.09069380
## 32 0.91753629 1.00652312 1.413096068 1.59832479
## 33 1.86570330 0.60031659 1.430446075 1.55083742
## 34 -0.85418149 -1.73887275 1.358567476 2.17067252
## 38 1.34556597 -1.52876592 0.855417287 0.83602759
## 39 1.11258779 -1.52876592 0.855417287 0.83602759
## 40 0.67914001 -0.98248817 0.493545722 0.41613929
## 41 0.70081240 0.26414567 0.771145826 0.86601961
## 44 2.15828055 0.48825961 -0.066611632 0.52361070
## 45 1.70857848 0.50226674 0.761231537 1.25841522
## 46 1.31847548 0.75439493 1.145410253 1.56583343
## 47 1.50810889 0.75439493 1.145410253 1.56583343
## 48 1.98490144 0.75439493 1.145410253 1.56583343
## 49 3.33942574 2.18312135 2.245896382 1.59832479
## 50 -0.23651841 0.74038780 0.329959946 0.45112998
## 51 0.51117900 0.74038780 0.329959946 0.45112998
## 52 -0.01979453 0.74038780 0.329959946 0.45112998
## 53 1.36182026 1.60882935 1.470103233 1.11595312
## 54 -0.01437643 0.64233795 0.406795689 0.95349634
## 55 -0.22026412 0.64233795 0.406795689 0.95349634
## 56 -0.42073372 0.64233795 0.406795689 0.95349634
## 57 -0.56160425 0.33418127 -0.019518757 0.30616855
## 58 0.09940361 0.33418127 -0.019518757 0.30616855
## 59 1.15593257 0.33418127 -0.019518757 0.30616855
## 61 0.21318365 0.22212430 0.059795558 0.44363198
## 62 -1.07090538 -0.35216769 -0.252504559 -0.18869980
## 65 0.93379058 -0.05801813 -0.748219032 -0.84102626
## 66 1.00422585 -0.05801813 -0.748219032 -0.84102626
## 67 0.96629917 -0.05801813 -0.748219032 -0.84102626
## 69 -0.25277271 -0.19808935 -0.540018954 -0.29617121
## 70 -0.43156991 -0.19808935 -0.540018954 -0.29617121
## 72 -0.43156991 0.23613142 -0.790354762 -1.10345644
## 73 -0.05230311 0.05403884 -0.621811842 -0.68106881
## 74 -0.54534995 -0.03000389 0.783538688 1.43586801
## 75 -0.97879773 -0.03000389 0.783538688 1.43586801
## 76 -0.76749194 -0.03000389 0.783538688 1.43586801
## 79 0.12649410 0.78240917 0.617474340 1.03597439
## 82 0.58161426 3.35971957 2.057524883 2.63554885
## 85 0.39739896 0.54428810 0.377052821 0.65857480
## 86 -0.64287570 -0.15606799 -0.924197670 -0.90850830
## 87 -0.74040145 -0.15606799 -0.924197670 -0.90850830
## 88 -0.47491469 -0.15606799 -0.924197670 -0.90850830
## 91 -0.06313930 0.05403884 -0.148404520 0.36865193
## 92 -0.54534995 -0.18408223 -0.336776020 0.14871044
## 93 -0.10648408 1.28666555 0.292781360 0.61608610
## 94 -0.14441076 1.13258721 0.404317117 0.82852958
## 95 0.32154560 -0.31014633 -0.520190375 -0.32616323
## 96 -0.17150125 -0.60429588 -0.393783184 -0.30116988
## 97 -0.07939359 -0.60429588 -0.393783184 -0.30116988
## 100 -1.32555595 -0.78638847 -0.976247689 -0.92100498
## 101 -1.55853413 -0.78638847 -0.976247689 -0.92100498
## 102 -1.25512069 -0.56227452 -0.956419110 -0.97599035
## 103 -1.15217684 -0.73035998 -1.092740590 -0.91600631
## 104 -1.24970259 -0.71635286 -1.053083433 -1.02347772
## 106 -0.94087105 -0.71635286 -1.053083433 -1.02347772
## 112 0.00729596 -0.01599677 0.753795820 0.95099700
## 114 -0.20942793 -0.43621042 0.166374170 0.45362932
## 115 0.91211819 -0.88443832 -0.492926079 -0.12121775
## 117 2.00657383 -0.01599677 -0.760611894 1.17093849
## 118 -0.32320797 -1.13656651 -1.050604860 -1.06596641
## 119 0.00729596 -1.13656651 -1.050604860 -1.06596641
## 120 -0.18233744 -1.13656651 -1.050604860 -1.06596641
## 121 0.22401985 -1.37468758 -1.633069365 -1.40587599
## 122 0.26194653 -0.54826740 -1.407519280 -1.72079221
## 123 1.30222119 -0.53426027 -0.770526183 -0.66357347
## 125 0.68997621 -0.91245256 -0.733347598 -0.95599567
## 126 0.61412285 -0.87043120 -0.740783315 -0.84352559
## 127 1.13967828 -0.25411784 -0.678819006 -0.24868384
## 128 0.78208386 -0.25411784 -0.678819006 -0.24868384
## 129 1.38349265 -0.25411784 -0.678819006 -0.24868384
## 130 0.80375625 -0.21209647 0.062274131 0.37864927
## 133 -0.22026412 -0.07202526 -0.621811842 -0.28367453
## 135 -1.25512069 -1.72486562 -1.756997984 -1.66580684
## 136 -1.16301303 -1.72486562 -1.756997984 -1.66580684
## 138 -0.55076805 -0.17007511 -1.251369222 -0.94599833
## 139 -1.37431883 -0.43621042 -1.261283511 -1.08346176
## 140 -0.22026412 -1.55678016 -2.185791002 -2.53557545
## 142 0.07231313 -0.22610360 -0.277290283 -0.03624036
## 143 0.19692936 -0.22610360 -0.277290283 -0.03624036
## 144 0.25111033 -0.22610360 -0.277290283 -0.03624036
## 145 -0.85418149 -0.57628164 -0.594547546 -0.55110339
## 146 -1.10883206 -0.57628164 -0.594547546 -0.55110339
## 148 -0.56160425 -1.29064485 -1.898276608 -2.17817053
## 149 -0.83792720 -1.55678016 -2.185791002 -2.53557545
## 150 0.67914001 -1.22060924 -0.795311907 -0.68106881
## 152 -1.23886640 -0.22610360 -0.745740460 -0.64607812
## 153 -1.49351696 -0.22610360 -0.745740460 -0.64607812
## 154 -1.44475409 -0.22610360 -0.745740460 -0.64607812
## 155 -1.22261210 -0.26812496 -0.725911881 -0.64357878
## 156 -1.84569328 -0.71635286 -1.070433439 -1.01348038
## 157 -1.64522369 -0.71635286 -1.070433439 -1.01348038
## 158 -1.32555595 -0.71635286 -1.070433439 -1.01348038
## 159 -1.16301303 -0.99649529 -0.723433308 -0.36365326
## 161 -1.01130631 -0.99649529 -0.723433308 -0.36365326
## 163 -0.82709101 -0.03000389 -0.487968934 -0.14371177
## 164 -0.81625481 -1.47273743 -0.569761822 -0.60109009
## 166 -0.55618615 -2.56529293 -1.519055037 -1.65580949
## 167 -0.73498336 -2.56529293 -1.519055037 -1.65580949
## 169 -0.69163858 1.80492906 1.792317640 2.05070444
## 170 -0.30153558 -0.03000389 0.845502997 0.83352825
## 171 -0.22026412 0.30616703 1.021481635 1.05846841
## 172 -0.27986319 0.41822400 0.156459880 -0.37864927
## 173 -0.26902700 0.64233795 0.260559920 -0.27367719
## 174 1.11258779 1.52478662 0.674481504 0.14871044
## 175 -0.91919866 1.56680799 0.662088642 0.38614727
## 176 -0.37197084 1.56680799 0.662088642 0.38614727
## BiologicalMaterial04 BiologicalMaterial05 BiologicalMaterial06
## 3 1.2964386029 0.412855482 1.129076662
## 4 1.2964386029 0.412855482 1.129076662
## 5 0.9414411656 -0.373418540 1.534835032
## 6 1.5894523607 1.730542291 0.619209236
## 7 0.8287435665 -0.481870129 1.478776310
## 8 1.8881009984 0.445390958 1.550851810
## 13 0.5695390884 0.038697499 1.046323310
## 16 0.8174738065 1.150326288 0.955561569
## 17 1.7077848398 1.226242401 0.515100180
## 19 1.8993707583 1.735964870 0.904841773
## 21 1.8993707583 1.735964870 0.904841773
## 22 0.6089832481 -0.476447550 1.163779680
## 24 -0.4954532235 0.179684565 0.373618643
## 25 3.3926139470 2.798790445 2.063388699
## 26 -0.2925975451 2.126390591 0.010571680
## 27 -0.0728372267 0.846661839 -0.448575950
## 28 0.1018440520 0.971381166 0.007902217
## 30 -0.3038673050 1.367229467 2.794821551
## 31 0.0342254925 1.378074626 2.397071570
## 32 0.5188251688 1.280468196 1.879195755
## 33 0.4681112492 1.177439186 1.996652125
## 34 0.0905742920 0.933423110 2.471816533
## 38 0.3779531699 1.394342364 0.979586736
## 39 0.3779531699 1.394342364 0.979586736
## 40 -0.0502977069 1.475681056 0.501752865
## 41 0.0285906125 1.920332572 0.888824995
## 44 -0.6194205826 -0.243276633 0.261501199
## 45 -0.1291860263 1.112368232 1.137085051
## 46 0.0398603724 0.244755518 0.907511236
## 47 0.0398603724 0.244755518 0.907511236
## 48 0.0398603724 0.244755518 0.907511236
## 49 1.5556430809 2.202306704 1.951271255
## 50 0.6202530080 -0.086021829 0.333576699
## 51 0.6202530080 -0.086021829 0.333576699
## 52 0.6202530080 -0.086021829 0.333576699
## 53 1.1893758837 1.313003672 1.299922292
## 54 0.4906507690 -1.615189237 0.517769643
## 55 0.4906507690 -1.615189237 0.517769643
## 56 0.4906507690 -1.615189237 0.517769643
## 57 0.2089067711 -1.457934432 -0.072181672
## 58 0.2089067711 -1.457934432 -0.072181672
## 59 0.2089067711 -1.457934432 -0.072181672
## 61 -0.2249789856 -0.324615325 0.424338439
## 62 -0.6757693822 -0.731308785 -0.210993746
## 65 -0.1855348259 -0.649970093 -0.638107820
## 66 -0.1855348259 -0.649970093 -0.638107820
## 67 -0.1855348259 -0.649970093 -0.638107820
## 69 -0.2925975451 -0.893986168 -0.611413191
## 70 -0.2925975451 -0.893986168 -0.611413191
## 72 -0.0615674668 -0.172783100 -0.766242042
## 73 -0.1348209063 0.092923293 -0.563362857
## 74 0.1920021313 -0.910253907 0.624548162
## 75 0.1920021313 -0.910253907 0.624548162
## 76 0.1920021313 -0.910253907 0.624548162
## 79 1.0710434046 -0.823492635 0.306882069
## 82 6.0522772869 0.738210249 1.323947458
## 85 0.9189016458 -0.969902281 -0.120232005
## 86 0.1694626114 0.342361949 -1.134627931
## 87 0.1694626114 0.342361949 -1.134627931
## 88 0.1694626114 0.342361949 -1.134627931
## 91 -0.2080743457 -0.747576523 -0.477940042
## 92 0.0116859726 -1.701950508 -0.584718561
## 93 1.0428690048 0.846661839 0.039935773
## 94 0.9583458055 0.304403892 0.079977717
## 95 -0.2024394657 0.071232976 -0.400525616
## 96 -0.3489463446 0.109191032 -0.248366227
## 97 -0.3489463446 0.109191032 -0.248366227
## 100 -1.0927504990 0.976803746 -1.230728598
## 101 -1.0927504990 0.976803746 -1.230728598
## 102 -0.6363252225 0.591800604 -1.158653098
## 103 -1.3294154572 -0.921099066 -1.113272228
## 104 -1.0476714593 -0.302925007 -1.115941691
## 106 -1.0476714593 -0.302925007 -1.115941691
## 112 -0.0333930670 -0.818070056 0.456371995
## 114 -0.3602161045 -1.219340936 0.050613624
## 115 -0.6644996222 -1.712795667 -0.421881320
## 117 -0.0052186672 -0.660815252 0.763360236
## 118 -1.0420365794 0.309826472 -1.027849413
## 119 -1.0420365794 0.309826472 -1.027849413
## 120 -1.0420365794 0.309826472 -1.027849413
## 121 -1.2617968977 0.266445836 -1.190686654
## 122 -0.3151370649 0.450813538 -1.513691672
## 123 -0.5067229834 0.277290995 -0.760903117
## 125 -0.9913226598 1.025606961 -0.432559172
## 126 -0.9293389802 0.808703782 -0.453914876
## 127 0.2258114110 -1.241031254 -0.819631302
## 128 0.2258114110 -1.241031254 -0.819631302
## 129 0.2258114110 -1.241031254 -0.819631302
## 130 -0.1573604261 -0.281234689 0.002563291
## 133 -0.1573604261 -1.289834469 -0.640777283
## 135 -1.6731431346 -1.246453833 -1.369540672
## 136 -1.6731431346 -1.246453833 -1.369540672
## 138 -0.5010881035 -2.905763149 -1.444285635
## 139 -0.8166413811 0.244755518 -1.262762154
## 140 -1.3632247369 -0.286657269 -2.218429895
## 142 -0.1404557862 -0.508983027 -0.296416561
## 143 -0.1404557862 -0.508983027 -0.296416561
## 144 -0.1404557862 -0.508983027 -0.296416561
## 145 -0.3602161045 0.109191032 -0.686158154
## 146 -0.3602161045 0.109191032 -0.686158154
## 148 -1.1885434583 -0.161937941 -1.978178228
## 149 -1.3632247369 -0.286657269 -2.218429895
## 150 -1.1547341785 -0.194473418 -0.814292376
## 152 -0.3996602642 -0.264966951 -0.931748746
## 153 -0.3996602642 -0.264966951 -0.931748746
## 154 -0.3996602642 -0.264966951 -0.931748746
## 155 -0.4785485836 -0.026373455 -0.915731968
## 156 -0.8955297005 0.705674773 -1.025179950
## 157 -0.8955297005 0.705674773 -1.025179950
## 158 -0.8955297005 0.705674773 -1.025179950
## 159 -1.0420365794 -1.853782733 -0.491287357
## 161 -1.0420365794 -1.853782733 -0.491287357
## 163 -0.3376765847 0.006162022 -0.691497079
## 164 -0.1686301860 -0.015528296 -0.533998765
## 166 -1.4139386566 0.044120078 -1.436277246
## 167 -1.4139386566 0.044120078 -1.436277246
## 169 0.6427925279 -1.354905423 1.703011199
## 170 -0.4672788237 1.746810029 1.233185717
## 171 -0.2587882653 1.172016606 1.321277995
## 172 0.0004162127 0.770745726 0.360271328
## 173 0.1131138119 0.857506998 0.504422328
## 174 0.5526344485 1.199129504 1.081026329
## 175 1.1273922042 1.068987597 0.640564940
## 176 1.1273922042 1.068987597 0.640564940
## BiologicalMaterial08 BiologicalMaterial09 BiologicalMaterial10
## 3 2.28261904 -0.72272251 1.100529620
## 4 2.28261904 -0.72272251 1.100529620
## 5 1.07131010 -0.12056780 0.416219259
## 6 1.18948658 -1.73434244 1.634625512
## 7 1.80991311 0.24072503 0.399528763
## 8 2.00194989 0.67427643 1.751458988
## 13 0.56906005 -0.55411919 0.165861810
## 16 1.75082487 -0.24099874 0.750029192
## 17 1.49969985 -0.36142968 2.018506934
## 19 1.94286165 0.31298360 2.402388356
## 21 1.94286165 0.31298360 2.402388356
## 22 2.43033964 1.27643114 0.366147769
## 24 0.21453060 -0.89132583 -0.518448551
## 25 0.65769241 -1.61391149 2.252173887
## 26 -1.21835924 -1.78251481 -0.084495639
## 27 -1.36607985 -2.69778998 0.432909756
## 28 -1.15927100 -2.19198002 0.449600253
## 30 -0.27294739 -0.04830923 -1.102615932
## 31 -0.11045472 -0.14465399 -0.752115504
## 32 0.12589824 -0.53003300 -0.318162592
## 33 0.09635412 -0.72272251 -0.451686565
## 34 0.43611151 0.48158692 -0.501758054
## 38 -0.81951362 -1.27670485 -0.568520041
## 39 -0.81951362 -1.27670485 -0.568520041
## 40 -0.71610919 -0.98767059 -0.568520041
## 41 -0.42066799 -0.19282636 -0.368234082
## 44 0.17021442 1.32460352 -0.384924578
## 45 0.14067030 1.10782782 -0.318162592
## 46 0.21453060 1.03556926 -0.084495639
## 47 0.21453060 1.03556926 -0.084495639
## 48 0.21453060 1.03556926 -0.084495639
## 49 1.95763371 -0.21691255 0.633195715
## 50 0.08158206 -0.04830923 0.482981246
## 51 0.08158206 -0.04830923 0.482981246
## 52 0.08158206 -0.04830923 0.482981246
## 53 1.23380276 -0.07239542 0.633195715
## 54 0.36225121 0.74653499 0.182552307
## 55 0.36225121 0.74653499 0.182552307
## 56 0.36225121 0.74653499 0.182552307
## 57 0.55428799 1.10782782 0.299385783
## 58 0.55428799 1.10782782 0.299385783
## 59 0.55428799 1.10782782 0.299385783
## 61 0.62814829 0.91513832 -0.284781598
## 62 0.70200859 0.65019024 -0.535139048
## 65 -0.16954296 -0.89132583 -0.084495639
## 66 -0.16954296 -0.89132583 -0.084495639
## 67 -0.16954296 -0.89132583 -0.084495639
## 69 0.39179533 1.10782782 0.115790320
## 70 0.39179533 1.10782782 0.115790320
## 72 0.25884678 -0.91541202 0.082409327
## 73 0.12589824 -0.38551587 -0.017733653
## 74 0.62814829 1.56546541 -0.301472095
## 75 0.62814829 1.56546541 -0.301472095
## 76 0.62814829 1.56546541 -0.301472095
## 79 0.77586889 1.58955160 0.950315151
## 82 1.98717783 2.96246435 6.791988965
## 85 0.61337623 1.18008639 0.950315151
## 86 -0.49452829 -0.33734349 0.583124225
## 87 -0.49452829 -0.33734349 0.583124225
## 88 -0.49452829 -0.33734349 0.583124225
## 91 0.36225121 1.49320684 0.099099824
## 92 -0.12522678 1.03556926 0.266004790
## 93 0.76109683 1.18008639 1.367577566
## 94 0.77586889 1.39686209 1.200672600
## 95 -0.67179301 -0.65046395 -0.585210537
## 96 -0.21385915 -0.24099874 -0.485067558
## 97 -0.21385915 -0.24099874 -0.485067558
## 100 -0.78996950 -0.40960206 -0.768806000
## 101 -0.78996950 -0.40960206 -0.768806000
## 102 -0.59793271 -0.67455014 -0.418305571
## 103 -1.04109452 0.45750073 -0.785496497
## 104 -0.46498417 0.24072503 -0.568520041
## 106 -0.46498417 0.24072503 -0.568520041
## 112 -0.08091060 0.60201786 -0.368234082
## 114 -0.50930035 0.33706979 -0.601901034
## 115 -1.08541070 -0.09648161 -0.835567987
## 117 -1.02632246 -0.81906727 -0.802186993
## 118 -0.98200628 -0.77089489 -0.885639477
## 119 -0.98200628 -0.77089489 -0.885639477
## 120 -0.98200628 -0.77089489 -0.885639477
## 121 -1.41039603 -1.54165293 -1.152687422
## 122 0.06681000 -0.57820538 0.466290749
## 123 -0.39112387 -0.02422304 -0.218019612
## 125 0.30316296 -0.89132583 -0.952401463
## 126 0.06681000 -0.72272251 -0.885639477
## 127 -1.17404306 -0.24099874 0.299385783
## 128 -1.17404306 -0.24099874 0.299385783
## 129 -1.17404306 -0.24099874 0.299385783
## 130 0.09635412 0.69836262 -0.334853088
## 133 -0.45021211 0.28889741 -0.001043156
## 135 -2.38535200 -1.66208387 -1.553259341
## 136 -2.38535200 -1.66208387 -1.553259341
## 138 -1.35130779 0.07212171 0.165861810
## 139 -0.18431502 0.60201786 -0.218019612
## 140 -1.70583723 -1.75842862 -0.618591531
## 142 -0.25817533 0.09620790 -0.117876632
## 143 -0.25817533 0.09620790 -0.117876632
## 144 -0.25817533 0.09620790 -0.117876632
## 145 -0.25817533 -0.24099874 -0.284781598
## 146 -0.25817533 -0.24099874 -0.284781598
## 148 -1.30699160 -1.22853247 -0.418305571
## 149 -1.70583723 -1.75842862 -0.618591531
## 150 -0.62747683 0.12029409 -1.035853946
## 152 0.02249382 0.38524216 0.132480817
## 153 0.02249382 0.38524216 0.132480817
## 154 0.02249382 0.38524216 0.132480817
## 155 0.11112618 0.55384549 0.132480817
## 156 -0.64224889 -0.16874017 -0.568520041
## 157 -0.64224889 -0.16874017 -0.568520041
## 158 -0.64224889 -0.16874017 -0.568520041
## 159 -1.21835924 -0.02422304 -1.052544443
## 161 -1.21835924 -0.02422304 -1.052544443
## 163 -0.08091060 0.96331069 -0.084495639
## 164 -1.58766075 -1.27670485 -0.818877490
## 166 -1.97173432 -1.71025625 -1.352973382
## 167 -1.97173432 -1.71025625 -1.352973382
## 169 1.15994246 2.36030963 0.666576708
## 170 0.64292035 0.16846647 -0.702044014
## 171 0.73155271 0.57793167 -0.451686565
## 172 0.06681000 -0.84315346 0.032337837
## 173 -0.02182236 -1.05992915 0.032337837
## 174 -0.39112387 -1.95111813 0.049028334
## 175 0.55428799 -0.19282636 1.250744090
## 176 0.55428799 -0.19282636 1.250744090
## BiologicalMaterial11 BiologicalMaterial12 ManufacturingProcess01
## 3 1.39339475 1.09898554 -6.149702798
## 4 1.39339475 1.09898554 -6.149702798
## 5 0.13625603 1.09898554 -0.278434512
## 6 1.02206170 0.72408765 0.434897149
## 7 0.03253172 0.71116014 0.160538818
## 8 1.50334253 1.61608607 0.434897149
## 13 -0.76199655 0.01307442 -0.497921177
## 16 1.21706342 1.48681094 -0.058947847
## 17 1.21706342 0.64652257 -0.058947847
## 19 2.36632885 2.09440407 0.818998812
## 21 2.36632885 2.09440407 0.818998812
## 22 1.27514903 2.19782417 -0.168691180
## 24 -0.27864123 0.78872522 0.050795485
## 25 0.95152916 0.09063950 -1.211252838
## 26 -1.26817122 -1.46066211 0.215410484
## 27 -1.54200341 -2.04240021 -1.101509505
## 28 -0.93417892 -1.39602454 -1.101509505
## 30 1.57802404 2.55979455 -0.443049511
## 31 1.25440417 1.78414375 -0.497921177
## 32 0.83950690 0.77579771 -0.004076181
## 33 0.93908225 1.02142046 0.215410484
## 34 2.17755059 2.59857709 -0.333306178
## 38 -0.44667463 -0.21962082 0.380025483
## 39 -0.44667463 -0.21962082 0.380025483
## 40 -0.62508045 -0.54280866 -0.113819513
## 41 0.27524662 0.16820458 0.050795485
## 44 0.94323122 0.87921781 -0.223562846
## 45 1.47429972 1.43510089 0.105667152
## 46 0.88307112 0.71116014 0.544640481
## 47 0.88307112 0.71116014 0.544640481
## 48 0.88307112 0.71116014 0.544640481
## 49 2.15473124 1.46095591 0.270282150
## 50 0.54907882 0.06478447 -0.443049511
## 51 0.54907882 0.06478447 -0.443049511
## 52 0.54907882 0.06478447 -0.443049511
## 53 1.60914133 0.96971041 -0.058947847
## 54 0.31051289 0.31040722 -0.827151174
## 55 0.31051289 0.31040722 -0.827151174
## 56 0.31051289 0.31040722 -0.827151174
## 57 -0.18114038 0.16820458 -0.278434512
## 58 -0.18114038 0.16820458 -0.278434512
## 59 -0.18114038 0.16820458 -0.278434512
## 61 0.97849749 1.40924586 -1.375867836
## 62 0.43083309 0.87921781 -1.156381172
## 65 -0.50890922 -0.49109860 -0.113819513
## 66 -0.50890922 -0.49109860 -0.113819513
## 67 -0.50890922 -0.49109860 -0.113819513
## 69 -0.68524055 0.19405960 -0.662536176
## 70 -0.68524055 0.19405960 -0.552792843
## 72 -0.52965408 -0.45231606 -0.936894507
## 73 -0.21848113 -0.31011342 -0.168691180
## 74 0.89136906 0.89214533 0.050795485
## 75 0.89136906 0.89214533 0.050795485
## 76 0.89136906 0.89214533 0.050795485
## 79 0.40801374 0.16820458 -0.113819513
## 82 2.44308484 0.47846490 0.818998812
## 85 -0.05874568 -0.32304093 -0.004076181
## 86 -1.00471145 -1.38309703 0.215410484
## 87 -1.00471145 -1.38309703 0.215410484
## 88 -1.00471145 -1.38309703 0.215410484
## 91 0.21716100 -0.20669331 -0.223562846
## 92 -0.72258131 -0.45231606 0.654383814
## 93 0.14040501 -0.55573617 -0.717407842
## 94 0.23168241 -0.42646104 -0.662536176
## 95 -0.15624654 -0.47817109 -1.156381172
## 96 0.20678857 0.06478447 -0.333306178
## 97 0.20678857 0.06478447 -0.333306178
## 100 -0.75162412 -0.73672136 0.160538818
## 101 -0.75162412 -0.73672136 0.160538818
## 102 -0.80556076 -0.94356157 0.325153816
## 103 -0.89061470 -0.68501130 0.599512147
## 104 -0.64582531 -0.45231606 0.325153816
## 106 -0.64582531 -0.45231606 0.325153816
## 112 0.14662847 0.06478447 0.105667152
## 114 -0.13757616 -0.05156315 0.270282150
## 115 -0.54210100 -0.32304093 0.434897149
## 117 -0.39896144 -0.34889596 0.709255480
## 118 -0.84082703 -0.72379384 0.105667152
## 119 -0.84082703 -0.72379384 0.105667152
## 120 -0.84082703 -0.72379384 0.105667152
## 121 -1.13332960 -0.95648909 0.434897149
## 122 -0.95907275 -1.33138697 0.599512147
## 123 -0.38858901 -0.59451871 0.050795485
## 125 0.71296324 0.54310246 0.489768815
## 126 0.53248292 0.36211728 0.380025483
## 127 -1.24950084 -1.42187957 0.105667152
## 128 -1.24950084 -1.42187957 0.105667152
## 129 -1.24950084 -1.42187957 0.105667152
## 130 0.32710878 0.32333474 0.544640481
## 133 -0.53380305 -0.89185152 -0.223562846
## 135 -1.82828253 -1.29260443 0.050795485
## 136 -1.82828253 -1.29260443 0.050795485
## 138 -2.19961558 -2.39144307 0.544640481
## 139 -0.06082017 -0.60744622 -0.662536176
## 140 -2.31163784 -2.10703777 1.038485477
## 142 -0.28693918 -0.56866368 0.654383814
## 143 -0.28693918 -0.56866368 0.654383814
## 144 -0.28693918 -0.56866368 0.654383814
## 145 -0.32842891 -0.58159120 0.818998812
## 146 -0.32842891 -0.58159120 0.818998812
## 148 -1.96312414 -1.84848751 0.983613811
## 149 -2.31163784 -2.10703777 1.148228810
## 150 -0.22263010 -0.15498326 1.203100476
## 152 -0.39066350 -0.82721395 0.818998812
## 153 -0.39066350 -0.82721395 0.818998812
## 154 -0.39066350 -0.82721395 0.818998812
## 155 -0.38444004 -0.72379384 0.818998812
## 156 -0.40933387 -0.60744622 0.654383814
## 157 -0.40933387 -0.60744622 0.654383814
## 158 -0.40933387 -0.60744622 0.654383814
## 159 -0.53172857 -0.34889596 0.489768815
## 161 -0.53172857 -0.34889596 0.489768815
## 163 -0.20603421 -0.51695363 0.654383814
## 164 -0.55247343 -0.63330125 0.160538818
## 166 -1.51710958 -1.80970497 0.215410484
## 167 -1.51710958 -1.80970497 0.215410484
## 169 0.61338789 1.33168078 0.050795485
## 170 1.82903689 0.72408765 0.709255480
## 171 1.60291787 0.84043527 1.587202139
## 172 -0.72673028 0.15527706 0.873870479
## 173 -0.79933730 0.05185696 0.873870479
## 174 -1.08561642 -0.36182347 0.983613811
## 175 -0.28901366 -0.20669331 1.587202139
## 176 -0.28901366 -0.20669331 1.587202139
## ManufacturingProcess02 ManufacturingProcess03 ManufacturingProcess04
## 3 -1.9692525 0.10870380 -3.16385635
## 4 -1.9692525 0.46587343 -3.32323311
## 5 -1.9692525 0.10870380 -2.20759579
## 6 -1.9692525 0.55516584 -1.25133524
## 7 -1.9692525 0.91233547 0.18305559
## 8 -1.9692525 0.46587343 -0.45445144
## 13 -1.9692525 0.46587343 0.34243235
## 16 -1.9692525 0.37658102 -0.61382820
## 17 -1.9692525 0.91233547 -0.61382820
## 19 -1.9692525 0.82304306 -0.45445144
## 21 -1.9692525 0.91233547 -1.09195848
## 22 -1.9692525 0.46587343 0.66118587
## 24 -1.9692525 0.55516584 1.29869290
## 25 -1.9692525 0.01941139 0.34243235
## 26 -1.9692525 -0.87351268 -0.29507469
## 27 -1.9692525 -0.42705064 -0.93258172
## 28 -1.9692525 0.01941139 -1.57008876
## 30 -1.9692525 -0.87351268 -1.72946552
## 31 -1.9692525 0.01941139 -0.61382820
## 32 -1.9692525 -0.42705064 -0.93258172
## 33 -1.9692525 -0.87351268 -1.41071200
## 34 -1.9692525 -0.87351268 -0.61382820
## 38 0.3797810 -0.87351268 -1.25133524
## 39 0.3089559 0.01941139 -0.93258172
## 40 0.3325642 -0.87351268 -1.25133524
## 41 0.3089559 -0.87351268 -1.09195848
## 44 0.5686480 0.46587343 -0.29507469
## 45 0.4506061 0.91233547 -0.61382820
## 46 0.4506061 -1.76643675 -0.93258172
## 47 0.4506061 -1.76643675 -1.09195848
## 48 0.3915852 0.91233547 -0.77320496
## 49 0.1555014 -0.87351268 -1.72946552
## 50 0.2735433 -0.87351268 -1.41071200
## 51 0.1555014 -0.42705064 -2.20759579
## 52 0.3325642 0.01941139 -0.93258172
## 53 0.3325642 0.01941139 -0.45445144
## 54 0.3325642 0.01941139 -1.41071200
## 55 0.3325642 0.01941139 -1.09195848
## 56 0.3325642 -0.87351268 -1.25133524
## 57 0.3325642 -1.76643675 -1.25133524
## 58 0.3325642 -0.87351268 -0.93258172
## 59 0.1555014 1.80525954 -1.88884228
## 61 0.2735433 2.69818361 -1.72946552
## 62 0.3915852 -1.31997472 -1.09195848
## 65 0.3915852 -1.76643675 -0.77320496
## 66 0.3325642 -1.31997472 -1.57008876
## 67 0.3325642 -1.76643675 -1.41071200
## 69 0.3915852 -2.21289879 -0.45445144
## 70 0.2735433 -2.65936083 -1.72946552
## 72 0.2735433 -3.10582286 -1.41071200
## 73 0.3325642 -1.31997472 -1.41071200
## 74 0.5686480 0.46587343 0.50180911
## 75 0.6512773 0.01941139 0.18305559
## 76 0.6276689 0.01941139 0.18305559
## 79 0.5686480 0.46587343 0.82056263
## 82 0.6276689 0.46587343 0.34243235
## 85 0.6276689 0.01941139 0.66118587
## 86 0.5096271 0.46587343 0.02367883
## 87 0.5686480 0.46587343 0.82056263
## 88 0.5686480 0.46587343 1.13931615
## 91 0.5922564 0.46587343 0.97993939
## 92 0.6276689 0.01941139 1.45806966
## 93 0.5686480 0.01941139 0.18305559
## 94 0.5686480 0.46587343 0.82056263
## 95 0.5686480 -0.42705064 -0.13569793
## 96 0.6276689 -0.42705064 0.34243235
## 97 0.6276689 0.01941139 0.82056263
## 100 0.5096271 0.46587343 0.34243235
## 101 0.5686480 -0.42705064 0.82056263
## 102 0.6158648 0.01941139 0.82056263
## 103 0.5922564 0.46587343 0.66118587
## 104 0.5804522 0.46587343 0.82056263
## 106 0.4860187 0.46587343 0.18305559
## 112 0.6512773 0.01941139 0.82056263
## 114 0.6276689 -1.31997472 0.50180911
## 115 0.5332354 0.46587343 1.61744642
## 117 0.5096271 0.46587343 0.97993939
## 118 0.5096271 0.46587343 0.34243235
## 119 0.4978229 0.01941139 0.34243235
## 120 0.5214313 0.46587343 0.50180911
## 121 0.5332354 0.46587343 0.50180911
## 122 0.5686480 0.46587343 1.13931615
## 123 0.5332354 0.46587343 0.66118587
## 125 0.4978229 0.01941139 0.34243235
## 126 0.5332354 0.46587343 0.50180911
## 127 0.5450396 0.01941139 1.13931615
## 128 0.5450396 0.46587343 1.13931615
## 129 0.5568438 0.01941139 1.45806966
## 130 0.5686480 0.46587343 1.13931615
## 133 0.5332354 0.46587343 1.29869290
## 135 0.5568438 0.01941139 0.66118587
## 136 0.5450396 0.46587343 0.66118587
## 138 0.5804522 0.46587343 1.29869290
## 139 0.5497613 0.46587343 0.50180911
## 140 0.5450396 0.46587343 0.66118587
## 142 0.5332354 0.46587343 0.50180911
## 143 0.5568438 0.01941139 0.34243235
## 144 0.5568438 0.46587343 1.13931615
## 145 0.5568438 0.46587343 0.82056263
## 146 0.5804522 0.01941139 0.97993939
## 148 0.5568438 0.01941139 1.13931615
## 149 0.5568438 0.01941139 1.29869290
## 150 0.5568438 0.01941139 1.13931615
## 152 0.5686480 2.69818361 2.25495346
## 153 0.5922564 2.25172158 1.13931615
## 154 0.5450396 2.69818361 0.34243235
## 155 0.5332354 2.69818361 0.66118587
## 156 0.5450396 0.01941139 0.50180911
## 157 0.5096271 0.46587343 0.34243235
## 158 0.5332354 0.46587343 1.29869290
## 159 0.5568438 0.46587343 0.97993939
## 161 0.5686480 0.01941139 0.34243235
## 163 0.5096271 0.46587343 0.66118587
## 164 0.5332354 0.46587343 1.13931615
## 166 0.5332354 0.46587343 0.18305559
## 167 0.5332354 0.46587343 0.34243235
## 169 0.4860187 0.46587343 0.34243235
## 170 0.3797810 0.46587343 0.18305559
## 171 0.3915852 0.01941139 0.66118587
## 172 0.5686480 0.01941139 0.50180911
## 173 0.5686480 0.91233547 0.18305559
## 174 0.4388019 0.46587343 -0.29507469
## 175 0.5804522 0.46587343 0.50180911
## 176 0.4860187 0.46587343 0.02367883
## ManufacturingProcess05 ManufacturingProcess06 ManufacturingProcess07
## 3 0.06246417 -0.11177452 1.0378549
## 4 0.42279841 2.18503223 -0.9580199
## 5 0.84537219 -0.63040830 1.0378549
## 6 0.49486525 0.55504034 1.0378549
## 7 -0.41907339 0.96253831 -0.9580199
## 8 0.30159507 1.59230791 1.0378549
## 13 0.07884300 0.14754237 -0.9580199
## 16 2.35550020 -0.11177452 -0.9580199
## 17 0.84537219 -0.55631776 -0.9580199
## 19 2.96479263 0.03640656 1.0378549
## 21 3.31202380 -0.29700087 1.0378549
## 22 0.74382345 4.18547682 1.0378549
## 24 0.96985129 2.85184709 -0.9580199
## 25 0.18366751 0.74026669 1.0378549
## 26 -1.67041591 -1.40835898 1.0378549
## 27 -1.50335185 -1.63063060 -0.9580199
## 28 -0.84819870 -1.40835898 1.0378549
## 30 -0.01942997 -0.70449885 1.0378549
## 31 0.16401291 -0.44518195 -0.9580199
## 32 0.73072039 0.29572345 1.0378549
## 33 1.29415209 -0.03768398 -0.9580199
## 34 -0.07184222 0.74026669 1.0378549
## 38 0.22625246 0.48094980 -0.9580199
## 39 0.41297111 0.48094980 1.0378549
## 40 0.82899336 -0.29700087 -0.9580199
## 41 0.43590147 -0.55631776 1.0378549
## 44 -1.06112348 0.48094980 -0.9580199
## 45 -0.70078925 0.29572345 1.0378549
## 46 -0.50096754 0.48094980 -0.9580199
## 47 -0.78268339 7.40841533 1.0378549
## 48 0.15418561 1.22185520 -0.9580199
## 49 0.02315498 0.88844777 -0.9580199
## 50 -0.99888393 0.14754237 1.0378549
## 51 -0.78923492 -0.96381574 -0.9580199
## 52 -0.40924609 -0.37109141 1.0378549
## 53 -0.39614303 -0.70449885 -0.9580199
## 54 0.06901570 -0.22291033 1.0378549
## 55 -0.57303438 -0.81563466 -0.9580199
## 56 -0.30114582 -0.03768398 1.0378549
## 57 -0.48131294 -0.44518195 -0.9580199
## 58 -0.33390348 1.48117210 1.0378549
## 59 0.04936111 0.14754237 -0.9580199
## 61 -0.68441042 -0.44518195 1.0378549
## 62 -0.63527393 -0.55631776 -0.9580199
## 65 0.47193489 1.07367412 1.0378549
## 66 -0.06529069 2.18503223 -0.9580199
## 67 0.39986805 0.81435723 1.0378549
## 69 -1.36576969 1.22185520 -0.9580199
## 70 -1.32318474 -0.88972520 1.0378549
## 72 -0.39286727 -0.63040830 -0.9580199
## 73 -0.17339096 -0.44518195 1.0378549
## 74 -0.82854411 -0.96381574 -0.9580199
## 75 -0.98578087 0.22163291 1.0378549
## 76 -0.90716249 -0.55631776 -0.9580199
## 79 -0.27166393 -0.70449885 -0.9580199
## 82 -0.03253303 -0.70449885 1.0378549
## 85 -0.73682267 0.48094980 1.0378549
## 86 -0.23563051 0.14754237 -0.9580199
## 87 -0.40924609 -0.81563466 1.0378549
## 88 -0.58941321 -0.37109141 -0.9580199
## 91 -0.84819870 -0.81563466 -0.9580199
## 92 0.24263129 -0.37109141 1.0378549
## 93 -0.29787006 -0.55631776 -0.9580199
## 94 0.06573994 -0.88972520 1.0378549
## 95 0.14435832 -0.22291033 1.0378549
## 96 -0.02270574 -0.96381574 -0.9580199
## 97 -0.22252745 -0.88972520 1.0378549
## 100 0.20987363 -1.03790628 1.0378549
## 101 0.10177336 -0.29700087 -0.9580199
## 102 -0.29131853 -1.03790628 1.0378549
## 103 -0.90716249 -0.37109141 -0.9580199
## 104 -0.45838258 -0.29700087 1.0378549
## 106 -0.49441600 -0.70449885 1.0378549
## 112 -0.24873357 0.55504034 -0.9580199
## 114 -0.65820429 -1.14904209 -0.9580199
## 115 -0.31752465 -1.22313263 -0.9580199
## 117 -0.12753024 -0.63040830 -0.9580199
## 118 -0.32080042 -0.88972520 1.0378549
## 119 -0.51079483 -1.22313263 -0.9580199
## 120 -2.57780302 -0.96381574 1.0378549
## 121 0.04936111 -0.22291033 -0.9580199
## 122 -0.21270015 -0.63040830 1.0378549
## 123 -0.32407619 0.29572345 -0.9580199
## 125 -0.15701213 -0.03768398 -0.9580199
## 126 -0.17011519 0.62913088 1.0378549
## 127 -0.47148564 1.48117210 -0.9580199
## 128 -0.64837699 -0.63040830 1.0378549
## 129 -0.38303997 -0.11177452 -0.9580199
## 130 0.08867030 -0.37109141 1.0378549
## 133 -0.09149682 0.55504034 1.0378549
## 135 -0.01615420 -0.44518195 1.0378549
## 136 0.33435273 0.03640656 -0.9580199
## 138 0.01332769 0.03640656 1.0378549
## 139 -0.51079483 -0.81563466 -0.9580199
## 140 -0.59268898 0.03640656 1.0378549
## 142 0.20987363 -0.29700087 1.0378549
## 143 -0.03580880 -0.03768398 -0.9580199
## 144 0.32452543 -0.22291033 1.0378549
## 145 0.11160066 0.55504034 -0.9580199
## 146 0.41624687 -0.37109141 1.0378549
## 148 -0.10459988 0.88844777 -0.9580199
## 149 0.34418003 0.74026669 1.0378549
## 150 0.19349480 0.55504034 -0.9580199
## 152 0.10832489 1.14776466 1.0378549
## 153 -0.12097871 -0.70449885 -0.9580199
## 154 -0.15046060 -0.44518195 1.0378549
## 155 0.14435832 -0.03768398 -0.9580199
## 156 -0.36666114 -0.63040830 -0.9580199
## 157 0.02315498 -0.44518195 1.0378549
## 158 -0.56975862 -1.14904209 -0.9580199
## 159 0.11815219 -0.11177452 1.0378549
## 161 0.25573435 -0.63040830 1.0378549
## 163 0.62589588 -0.29700087 -0.9580199
## 164 0.41952264 -0.29700087 -0.9580199
## 166 0.20659787 -0.70449885 -0.9580199
## 167 -0.05873916 0.29572345 1.0378549
## 169 0.42279841 0.48094980 -0.9580199
## 170 0.11160066 -0.81563466 1.0378549
## 171 0.91743903 -0.22291033 -0.9580199
## 172 0.82899336 -0.44518195 1.0378549
## 173 0.99278165 -0.29700087 -0.9580199
## 174 1.25484291 0.48094980 1.0378549
## 175 1.41207966 0.22163291 -0.9580199
## 176 1.70689858 0.03640656 1.0378549
## ManufacturingProcess08 ManufacturingProcess09 ManufacturingProcess10
## 3 0.8941637 -3.815947e-01 0.31428424
## 4 -1.1119728 -4.785917e-01 -0.02483658
## 5 0.8941637 -4.527258e-01 -0.39004361
## 6 0.8941637 -2.199332e-01 0.28819802
## 7 0.8941637 2.392517e+00 3.15768184
## 8 0.8941637 1.952798e+00 1.33164668
## 13 -1.1119728 1.209155e+00 0.15776694
## 16 -1.1119728 -1.682015e-01 0.54906019
## 17 -1.1119728 -7.767103e-02 -0.23352631
## 19 0.8941637 -7.760489e-01 -0.36395739
## 21 0.8941637 -2.845978e-01 -0.23352631
## 22 0.8941637 8.922983e-01 1.67076750
## 24 -1.1119728 9.246306e-01 0.78383614
## 25 0.8941637 1.047493e+00 2.50552643
## 26 0.8941637 -4.377868e+00 0.02733586
## 27 0.8941637 -4.293804e+00 -1.01611281
## 28 0.8941637 -3.362634e+00 -1.79869930
## 30 0.8941637 -4.591923e-01 0.28819802
## 31 -1.1119728 3.943807e-01 -0.23352631
## 32 0.8941637 9.181641e-01 1.98380210
## 33 -1.1119728 2.010996e+00 1.20121560
## 34 0.8941637 7.752406e-02 0.80992235
## 38 -1.1119728 4.655118e-01 0.67949127
## 39 0.8941637 1.680545e-01 0.41862910
## 40 -1.1119728 7.177038e-01 1.33164668
## 41 0.8941637 6.659721e-01 0.80992235
## 44 0.8941637 1.079826e+00 0.15776694
## 45 0.8941637 7.241703e-01 -0.23352631
## 46 -1.1119728 5.301764e-01 -0.88568172
## 47 0.8941637 2.391856e-01 0.28819802
## 48 -1.1119728 1.584210e+00 -0.36395739
## 49 0.8941637 1.157423e+00 0.41862910
## 50 0.8941637 -6.531861e-01 -0.36395739
## 51 -1.1119728 5.237099e-01 -0.36395739
## 52 0.8941637 1.079826e+00 -0.62481956
## 53 -1.1119728 4.396459e-01 -0.23352631
## 54 -1.1119728 2.056261e+00 -0.62481956
## 55 0.8941637 4.267130e-01 -1.01611281
## 56 0.8941637 8.858318e-01 -1.27697497
## 57 -1.1119728 -7.348252e-05 1.46207777
## 58 0.8941637 9.246306e-01 1.46207777
## 59 -1.1119728 2.185591e+00 2.50552643
## 61 0.8941637 4.590453e-01 0.54906019
## 62 -1.1119728 4.267130e-01 1.59250885
## 65 -1.1119728 1.150957e+00 2.63595751
## 66 0.8941637 1.060426e+00 2.24466426
## 67 0.8941637 1.584210e+00 2.37509534
## 69 -1.1119728 -3.945277e-01 0.28819802
## 70 -1.1119728 -1.183436e+00 -0.36395739
## 72 -1.1119728 1.125091e+00 0.67949127
## 73 0.8941637 1.202688e+00 1.33164668
## 74 -1.1119728 1.421887e-01 -0.88568172
## 75 -1.1119728 -9.060395e-02 -1.27697497
## 76 0.8941637 -3.557289e-01 -0.62481956
## 79 -1.1119728 2.909173e-01 0.15776694
## 82 0.8941637 -3.621954e-01 -0.75525064
## 85 0.8941637 -6.725855e-01 -0.75525064
## 86 -1.1119728 -1.358692e-01 0.28819802
## 87 0.8941637 -9.060395e-02 0.15776694
## 88 -1.1119728 2.844508e-01 0.28819802
## 91 -1.1119728 -1.002375e+00 -1.01611281
## 92 0.8941637 4.331795e-01 -0.62481956
## 93 -1.1119728 1.932590e-02 -1.01611281
## 94 0.8941637 -9.312440e-01 -0.75525064
## 95 -1.1119728 -1.100033e-01 -0.10309523
## 96 -1.1119728 -1.015308e+00 -0.49438848
## 97 0.8941637 -7.113843e-01 0.15776694
## 100 -1.1119728 -8.471800e-01 -0.62481956
## 101 -1.1119728 -9.894422e-01 -0.36395739
## 102 0.8941637 -1.403296e+00 -0.49438848
## 103 -1.1119728 -1.940012e+00 -0.36395739
## 104 0.8941637 -1.345098e+00 -0.62481956
## 106 0.8941637 -9.247775e-01 -0.62481956
## 112 -1.1119728 -6.596526e-01 -1.79869930
## 114 -1.1119728 -1.480893e+00 -1.79869930
## 115 -1.1119728 -4.656587e-01 -0.10309523
## 117 -1.1119728 -2.781313e-01 -0.88568172
## 118 -1.1119728 -1.008842e+00 -0.49438848
## 119 0.8941637 -1.125238e+00 -0.23352631
## 120 0.8941637 -1.552024e+00 -0.62481956
## 121 -1.1119728 -1.947287e-02 -0.23352631
## 122 0.8941637 5.495758e-01 0.80992235
## 123 0.8941637 1.227893e-01 -0.49438848
## 125 0.8941637 1.002228e+00 1.07078452
## 126 0.8941637 3.685149e-01 0.15776694
## 127 0.8941637 3.225883e-02 -1.40740605
## 128 0.8941637 -4.333264e-01 -1.14654389
## 129 0.8941637 -2.593933e-02 -1.27697497
## 130 0.8941637 6.530392e-01 -0.10309523
## 133 0.8941637 4.525789e-01 -1.27697497
## 135 -1.1119728 8.341001e-01 0.15776694
## 136 -1.1119728 1.170356e+00 -0.88568172
## 138 0.8941637 5.948410e-01 0.67949127
## 139 0.8941637 2.585850e-01 0.41862910
## 140 0.8941637 -2.328661e-01 1.59250885
## 142 0.8941637 2.973838e-01 -0.62481956
## 143 0.8941637 4.719782e-01 -0.36395739
## 144 0.8941637 5.431093e-01 -0.23352631
## 145 0.8941637 -5.691221e-01 0.15776694
## 146 0.8941637 -7.372501e-01 0.15776694
## 148 0.8941637 -2.781313e-01 0.94035343
## 149 0.8941637 6.983044e-01 0.28819802
## 150 -1.1119728 -7.767103e-02 -0.23352631
## 152 0.8941637 6.459114e-02 -1.14654389
## 153 -1.1119728 -4.915246e-01 0.41862910
## 154 0.8941637 -2.328661e-01 0.41862910
## 155 -1.1119728 -2.457990e-01 -0.62481956
## 156 -1.1119728 -8.277806e-01 -0.10309523
## 157 0.8941637 -9.118446e-01 -0.10309523
## 158 -1.1119728 -8.277806e-01 -0.23352631
## 159 0.8941637 -5.173904e-01 -0.88568172
## 161 0.8941637 -6.725855e-01 -1.79869930
## 163 -1.1119728 3.620484e-01 -0.49438848
## 164 -1.1119728 1.357222e-01 0.15776694
## 166 0.8941637 -9.707041e-02 0.15776694
## 167 0.8941637 -3.427960e-01 0.28819802
## 169 -1.1119728 2.456521e-01 -1.27697497
## 170 -1.1119728 -2.263997e-01 -0.49438848
## 171 0.8941637 -5.755886e-01 -0.23352631
## 172 -1.1119728 7.241703e-01 0.54906019
## 173 0.8941637 5.495758e-01 0.41862910
## 174 -1.1119728 1.545411e+00 1.20121560
## 175 -1.1119728 1.584210e+00 1.33164668
## 176 0.8941637 1.597143e+00 0.94035343
## ManufacturingProcess11 ManufacturingProcess12 ManufacturingProcess13
## 3 0.55112383 -0.4806937 0.287650156
## 4 0.80261406 -0.4806937 0.287650156
## 5 0.10403009 -0.4806937 0.090660166
## 6 1.41736795 -0.4806937 -0.500309805
## 7 2.95425267 -0.4806937 -2.076229727
## 8 2.67481909 -0.4806937 -0.894289785
## 13 1.41736795 -0.4806937 0.583135142
## 16 1.13793436 -0.4806937 0.878620127
## 17 0.85850078 -0.4806937 1.272600107
## 19 0.57906719 -0.4806937 0.977115122
## 21 0.85850078 -0.4806937 0.681630137
## 22 1.86446169 -0.4806937 -1.288269766
## 24 0.80261406 -0.4806937 -0.894289785
## 25 -0.53866715 -0.4806937 -1.189774771
## 26 -2.49470226 -0.4806937 2.750025034
## 27 -2.63441905 -0.4806937 3.439490000
## 28 -2.63441905 -0.4806937 3.537984995
## 30 -0.53866715 -0.4806937 0.780125132
## 31 -0.39895036 -0.4806937 0.878620127
## 32 0.15991681 -0.4806937 -0.992784780
## 33 1.55708474 -0.4806937 -1.091279775
## 34 0.43935040 -0.4806937 -0.007834829
## 38 0.85850078 2.0684394 -1.386764761
## 39 0.85850078 2.0684394 -1.485259756
## 40 0.57906719 2.0684394 -1.682249746
## 41 0.85850078 2.0684394 -1.485259756
## 44 -0.11951677 2.0684394 -1.977734731
## 45 -0.81810074 2.0684394 -1.682249746
## 46 -0.25923357 2.0684394 -1.288269766
## 47 -0.39895036 2.0684394 -1.879239736
## 48 0.71878398 2.0684394 -1.879239736
## 49 0.29963360 2.0684394 -2.371714712
## 50 -0.39895036 2.0684394 -0.598804800
## 51 0.02020002 2.0684394 -1.091279775
## 52 2.25566871 2.0684394 -0.697299795
## 53 0.15991681 2.0684394 -1.386764761
## 54 1.97623512 2.0684394 -0.894289785
## 55 -1.09753433 2.0684394 -0.795794790
## 56 0.02020002 2.0684394 -0.598804800
## 57 0.02020002 2.0684394 -0.697299795
## 58 0.57906719 2.0684394 -0.992784780
## 59 1.13793436 2.0684394 -1.977734731
## 61 -0.39895036 2.0684394 0.090660166
## 62 -0.53866715 2.0684394 -0.500309805
## 65 0.71878398 2.0684394 -1.780744741
## 66 0.99821757 2.0684394 -1.189774771
## 67 1.41736795 2.0684394 -1.583754751
## 69 -0.53866715 -0.4806937 0.287650156
## 70 -1.37696791 -0.4806937 0.977115122
## 72 0.15991681 -0.4806937 -0.303319814
## 73 0.71878398 -0.4806937 -0.992784780
## 74 -0.39895036 -0.4806937 0.287650156
## 75 -0.95781753 -0.4806937 0.681630137
## 76 -1.09753433 -0.4806937 0.484640146
## 79 0.02020002 -0.4806937 -0.007834829
## 82 -0.81810074 -0.4806937 0.386145151
## 85 -1.37696791 -0.4806937 0.484640146
## 86 0.02020002 -0.4806937 0.287650156
## 87 0.15991681 -0.4806937 -0.007834829
## 88 0.29963360 -0.4806937 0.090660166
## 91 -1.51668471 -0.4806937 0.878620127
## 92 -0.25923357 -0.4806937 -0.303319814
## 93 -0.39895036 -0.4806937 0.780125132
## 94 -0.67838395 -0.4806937 1.075610117
## 95 -0.67838395 -0.4806937 0.681630137
## 96 -0.95781753 -0.4806937 0.780125132
## 97 -0.53866715 -0.4806937 0.681630137
## 100 -0.25923357 -0.4806937 0.780125132
## 101 -0.11951677 -0.4806937 0.780125132
## 102 -0.53866715 -0.4806937 0.878620127
## 103 -0.95781753 -0.4806937 0.977115122
## 104 -0.39895036 -0.4806937 0.780125132
## 106 -0.53866715 -0.4806937 0.681630137
## 112 -0.95781753 -0.4806937 1.371095102
## 114 -1.79611829 -0.4806937 1.666580088
## 115 -0.53866715 -0.4806937 0.189155161
## 117 -0.39895036 -0.4806937 0.386145151
## 118 -0.25923357 -0.4806937 0.583135142
## 119 -0.39895036 -0.4806937 0.583135142
## 120 -1.09753433 -0.4806937 1.075610117
## 121 0.29963360 -0.4806937 0.189155161
## 122 0.99821757 -0.4806937 -0.598804800
## 123 0.43935040 -0.4806937 0.386145151
## 125 1.13793436 -0.4806937 -0.795794790
## 126 0.85850078 -0.4806937 -0.106329824
## 127 -0.39895036 -0.4806937 0.484640146
## 128 -0.81810074 -0.4806937 0.287650156
## 129 0.02020002 -0.4806937 0.681630137
## 130 0.99821757 -0.4806937 -0.697299795
## 133 -0.25923357 -0.4806937 0.386145151
## 135 0.29963360 -0.4806937 -0.204824819
## 136 0.85850078 -0.4806937 -0.106329824
## 138 -0.11951677 -0.4806937 -1.091279775
## 139 0.15991681 -0.4806937 0.189155161
## 140 0.57906719 -0.4806937 -0.795794790
## 142 0.15991681 -0.4806937 -0.106329824
## 143 0.29963360 -0.4806937 -0.204824819
## 144 0.85850078 -0.4806937 -0.598804800
## 145 0.43935040 -0.4806937 -0.303319814
## 146 0.02020002 -0.4806937 -0.303319814
## 148 0.99821757 -0.4806937 -0.303319814
## 149 1.69680153 -0.4806937 -0.500309805
## 150 0.02020002 -0.4806937 -0.106329824
## 152 0.57906719 -0.4806937 0.090660166
## 153 0.15991681 -0.4806937 -0.204824819
## 154 0.02020002 -0.4806937 -0.106329824
## 155 0.15991681 -0.4806937 0.189155161
## 156 -0.39895036 -0.4806937 0.484640146
## 157 -0.11951677 -0.4806937 0.386145151
## 158 0.43935040 -0.4806937 0.780125132
## 159 -0.81810074 -0.4806937 0.287650156
## 161 -1.09753433 -0.4806937 0.681630137
## 163 -0.25923357 -0.4806937 0.189155161
## 164 0.71878398 -0.4806937 -0.106329824
## 166 0.99821757 -0.4806937 -0.106329824
## 167 0.29963360 -0.4806937 0.287650156
## 169 -1.65640150 -0.4806937 0.287650156
## 170 -0.39895036 -0.4806937 0.386145151
## 171 0.02020002 -0.4806937 0.189155161
## 172 0.29963360 -0.4806937 -0.598804800
## 173 0.71878398 -0.4806937 -0.500309805
## 174 1.41736795 -0.4806937 -1.386764761
## 175 1.27765116 -0.4806937 -1.583754751
## 176 1.27765116 -0.4806937 -1.583754751
## ManufacturingProcess14 ManufacturingProcess15 ManufacturingProcess16
## 3 0.442586519 0.824515217 0.1455764958
## 4 0.791059210 1.081749933 0.1967568685
## 5 2.533422666 3.328266459 0.4754055644
## 6 2.405037990 3.139627666 0.6261033286
## 7 -1.996722320 -0.684595121 -0.2269028835
## 8 0.002410488 1.133196877 0.1711666821
## 13 1.157872569 2.042092875 0.3929482973
## 16 -0.896282242 1.459027518 0.2849008437
## 17 1.616389268 2.367923517 0.4526587321
## 19 1.891499288 2.436519441 0.5265859372
## 21 1.744773944 2.093539819 0.5692362478
## 22 -1.153051594 -0.221572631 -0.2382762997
## 24 0.185817167 0.790217255 0.1398897877
## 25 -1.905018980 -0.770340026 -0.1387589082
## 26 -0.254358864 -0.873233913 0.0318423342
## 27 0.736037206 -0.290168555 0.0688059367
## 28 1.616389268 0.721621330 0.2251904089
## 30 -0.419424875 -0.375913461 -0.0278681007
## 31 0.332542511 0.190002916 0.0545891665
## 32 -1.794974972 -1.147617611 -0.1444456163
## 33 -0.712875563 -0.101529763 0.0090955018
## 34 -0.786238234 -0.804637989 0.0346856882
## 38 -0.529468883 -0.187274669 0.0147822099
## 39 -0.291040200 -0.170125688 0.0773359988
## 40 -0.877941574 -0.633148178 0.0716492907
## 41 -0.474446879 -0.324466518 0.0602758746
## 44 -0.327721535 -0.427360404 -0.0051212684
## 45 0.277520507 0.378641708 0.0489024584
## 46 1.102850565 1.184643820 0.0801793529
## 47 -0.382743539 -0.513105310 -0.1273854921
## 48 0.534289859 1.836305102 -0.0932652436
## 49 0.020751156 0.653025406 -0.0079646224
## 50 -0.034270848 -0.444509385 -0.1359155542
## 51 0.277520507 0.069960048 -0.0534582870
## 52 0.369223847 0.172853935 -0.0420848709
## 53 0.240839171 0.378641708 0.0034087938
## 54 0.240839171 0.001364123 -0.0762051194
## 55 0.681015202 0.344343746 -0.0079646224
## 56 0.864421882 0.275747821 0.0147822099
## 57 -1.960040984 -2.073662591 -0.3377936911
## 58 -1.629908961 -1.593491120 -0.2695531941
## 59 -2.381876347 -1.936470742 -0.3548538153
## 61 -0.932963578 -1.387703346 -0.1700358027
## 62 -1.794974972 -2.090811572 -0.2325895916
## 65 -2.528601690 -1.747831950 -0.2553364239
## 66 -2.051744324 -1.301958441 -0.1728791567
## 67 -2.143447663 -1.233362516 -0.1899392810
## 69 -0.547809551 -1.113319649 -0.0904218896
## 70 0.149135831 -0.273019574 0.0062521478
## 72 -0.327721535 0.138555972 0.0631192286
## 73 -0.804578902 0.001364123 0.0062521478
## 74 0.460927187 0.087109029 0.0233122720
## 75 0.827740546 0.344343746 0.1228296635
## 76 0.057432492 -0.187274669 0.0090955018
## 79 -0.346062203 -0.427360404 -0.1103253678
## 82 -0.180996192 -0.838935951 -0.1188554300
## 85 0.185817167 -0.152976706 0.0318423342
## 86 -0.236018196 0.155704953 0.1853834523
## 87 -0.236018196 0.224300878 0.1967568685
## 88 -0.401084207 -0.067231801 0.1654799741
## 91 0.369223847 -0.461658366 -0.0136513305
## 92 0.240839171 -0.084380782 0.0631192286
## 93 0.772718542 0.395790689 0.1370464337
## 94 -0.107633520 -0.581701234 -0.0193380386
## 95 -0.272699532 -0.324466518 -0.0193380386
## 96 -0.015930180 -0.307317536 0.0005654397
## 97 -0.712875563 -0.821786970 -0.0705184113
## 100 0.754377874 0.687323368 0.2962742599
## 101 0.204157835 -0.032933839 0.2422505331
## 102 0.185817167 -0.238721612 0.1171429554
## 103 -0.291040200 -0.718893083 0.0147822099
## 104 0.130795163 -0.324466518 0.1285163715
## 106 0.350883179 -0.135827725 0.1142996013
## 112 1.524685928 1.013154009 0.1029261852
## 114 1.506345260 0.635876425 0.1029261852
## 115 -0.841260238 -1.679236025 -0.1757225108
## 117 0.460927187 0.138555972 -0.0051212684
## 118 0.277520507 -0.032933839 0.1597932660
## 119 -0.089292852 -0.478807348 0.0517458124
## 120 0.405905183 0.018513105 0.0915527690
## 121 0.332542511 0.361492727 0.1910701604
## 122 -0.272699532 0.241449859 0.2507805953
## 123 0.515949191 0.292896802 0.0972394771
## 125 -0.767897566 -0.118678744 0.1711666821
## 126 0.094113828 0.412939670 0.1967568685
## 127 0.937784554 0.378641708 0.0830227069
## 128 0.534289859 -0.152976706 0.0318423342
## 129 0.901103218 0.292896802 -0.0449282249
## 130 -0.015930180 -0.204423650 -0.0619883492
## 133 1.066169229 0.893111141 0.1683233281
## 135 -0.437765543 -0.650297159 0.0432157503
## 136 0.717696538 0.378641708 0.1967568685
## 138 -1.134710926 -1.284809460 -0.0733617653
## 139 -0.566150219 -0.615999196 0.1455764958
## 140 -1.501524285 -1.319107422 0.1142996013
## 142 0.424245851 0.344343746 0.1086128933
## 143 0.185817167 0.087109029 0.0659625826
## 144 0.075773160 -0.067231801 0.0318423342
## 145 -0.144314856 -0.204423650 0.1199863094
## 146 -0.125974188 -0.170125688 0.1256730175
## 148 -0.951304246 -0.838935951 0.1541065579
## 149 0.075773160 0.481535595 0.3161777382
## 150 0.149135831 -0.050082820 0.1000828311
## 152 1.212894573 0.927409103 0.2337204710
## 153 -0.419424875 -0.375913461 0.0716492907
## 154 -0.547809551 -0.615999196 0.0574325205
## 155 0.607652530 0.635876425 0.2024435766
## 156 -0.070952184 -0.410211423 0.1285163715
## 157 0.002410488 -0.427360404 0.1455764958
## 158 0.130795163 -0.238721612 0.1285163715
## 159 0.259179839 -0.461658366 -0.0136513305
## 161 1.304597913 0.327194765 0.1000828311
## 163 0.222498503 0.018513105 0.0147822099
## 164 -0.382743539 -0.324466518 0.0090955018
## 166 -1.079688922 -0.976127800 0.0972394771
## 167 -0.401084207 -0.255870593 0.1683233281
## 169 0.515949191 -0.290168555 0.1142996013
## 170 0.442586519 0.327194765 0.2138169927
## 171 0.112454496 0.035662086 0.1455764958
## 172 -0.456106211 -0.221572631 0.1569499119
## 173 -0.382743539 -0.170125688 0.1199863094
## 174 -1.079688922 -0.667446140 -0.0250247466
## 175 -1.116370258 -0.170125688 0.0972394771
## 176 -0.547809551 0.498684576 0.1825400983
## ManufacturingProcess17 ManufacturingProcess18 ManufacturingProcess19
## 3 0.36552464 0.183189824 1.092643705
## 4 0.36552464 0.169583557 0.982943025
## 5 -0.35551027 0.207681104 1.619206969
## 6 -0.75608522 0.142371025 1.904428737
## 7 -0.43562526 -0.140639318 -0.333465135
## 8 -0.59585524 -0.118869292 -0.136003911
## 13 0.60586961 0.068897186 1.355925337
## 16 0.92632958 0.087945959 1.377865473
## 17 1.16667455 0.131486011 1.575326697
## 19 0.92632958 0.210402357 2.101889961
## 21 0.68598460 0.166862304 1.750847785
## 22 1.08655956 -13.088362482 1.816668193
## 24 0.60586961 0.101552225 0.961002889
## 25 1.56724950 0.210402357 2.584572953
## 26 4.53150414 0.438987633 1.882488601
## 27 4.53150414 0.438987633 1.728907649
## 28 3.97069921 0.428102620 1.948309009
## 30 0.76609959 0.153256038 -0.004363095
## 31 0.52575462 0.128764758 0.171157993
## 32 -0.27539528 0.120600998 0.895182481
## 33 -0.75608522 -0.099820518 -0.816148127
## 34 0.12517967 0.036242146 -0.399285543
## 38 -1.39700514 -0.031789186 -0.925848807
## 39 -1.39700514 -0.026346680 -0.816148127
## 40 -1.23677516 0.058012172 -0.026303231
## 41 -1.39700514 0.014472120 -0.508986223
## 44 -1.63735011 0.093388465 0.083397449
## 45 -1.63735011 0.259384916 1.948309009
## 46 -1.55723512 0.109715985 -0.070183503
## 47 -1.39700514 0.117879745 -0.026303231
## 48 -2.43850002 0.006308360 1.180404249
## 49 -2.27827004 0.071618439 0.588020577
## 50 -0.59585524 0.106994732 -0.289584863
## 51 -1.23677516 0.047127159 -0.311524999
## 52 -0.99643019 -0.295750756 -3.032101863
## 53 -1.47712013 0.071618439 0.105337585
## 54 -0.99643019 -0.249489450 -2.856580775
## 55 -0.99643019 0.191353584 0.434439625
## 56 0.36552464 0.017193373 -0.794207991
## 57 0.12517967 0.052569666 -0.487046087
## 58 -0.35551027 -0.004576653 -0.816148127
## 59 -0.67597023 -0.048116706 -0.574806631
## 61 0.52575462 0.098830972 -0.421225679
## 62 0.76609959 0.131486011 0.236978401
## 65 -0.19528029 0.022635880 0.324738945
## 66 -0.35551027 -0.026346680 0.215038265
## 67 -0.67597023 -0.067165479 -0.070183503
## 69 0.84621459 0.142371025 -0.157944047
## 70 0.92632958 0.259384916 0.829362073
## 72 -0.35551027 0.120600998 0.961002889
## 73 -0.67597023 0.047127159 0.631900849
## 74 0.04506468 0.085224705 -0.223764455
## 75 0.12517967 0.155977291 0.193098129
## 76 0.20529466 0.164141051 0.500260033
## 79 0.12517967 0.047127159 -0.750327719
## 82 0.44563963 0.041684653 -1.035549487
## 85 0.36552464 0.210402357 0.873242345
## 86 -0.19528029 0.079782199 0.741601529
## 87 -0.35551027 0.055290919 0.215038265
## 88 -0.03505031 0.033520893 0.236978401
## 91 0.76609959 0.204959850 0.390559353
## 92 -0.43562526 0.068897186 -0.289584863
## 93 0.12517967 0.093388465 -0.157944047
## 94 1.00644457 0.153256038 -0.004363095
## 95 0.68598460 0.106994732 -0.092123639
## 96 0.76609959 0.147813531 0.324738945
## 97 0.68598460 0.066175932 -0.443165815
## 100 -0.03505031 0.109715985 -0.136003911
## 101 0.36552464 0.079782199 -0.552866495
## 102 0.52575462 0.101552225 -0.092123639
## 103 0.92632958 0.123322251 -0.157944047
## 104 0.44563963 0.074339692 -0.465105951
## 106 0.36552464 0.098830972 -0.311524999
## 112 0.28540965 0.096109719 -0.311524999
## 114 0.76609959 0.210402357 0.105337585
## 115 0.60586961 0.033520893 -1.518232479
## 117 0.04506468 0.047127159 -0.618686903
## 118 0.28540965 0.068897186 -0.640627039
## 119 0.52575462 0.093388465 -0.333465135
## 120 0.68598460 0.191353584 0.193098129
## 121 -0.19528029 0.049848413 -0.289584863
## 122 -0.99643019 -0.010019160 -0.136003911
## 123 -0.35551027 0.011750866 -0.530926359
## 125 -0.91631520 -0.034510439 -0.201824319
## 126 -0.83620021 -0.015461666 -0.092123639
## 127 -0.43562526 0.028078386 -1.013609351
## 128 -0.11516530 0.123322251 -0.092123639
## 129 -0.19528029 -0.012740413 -1.605993023
## 130 -0.75608522 -0.088935505 -1.452412071
## 133 -0.67597023 0.087945959 -0.026303231
## 135 -0.59585524 -0.001855400 -1.123310031
## 136 -1.39700514 -0.080771745 -1.671813431
## 138 -0.43562526 0.033520893 -0.947788943
## 139 0.04506468 0.058012172 -0.289584863
## 140 0.04506468 0.006308360 -0.728387583
## 142 -0.75608522 0.030799640 -0.443165815
## 143 -0.75608522 0.028078386 -0.443165815
## 144 -0.99643019 -0.053559213 -1.057489623
## 145 -0.51574025 -0.537942299 -0.640627039
## 146 -0.51574025 0.058012172 -0.355405271
## 148 -0.27539528 -0.064444226 -0.991669215
## 149 -1.23677516 -0.113426785 -1.408531799
## 150 -0.67597023 0.060733426 -0.552866495
## 152 -0.83620021 -0.034510439 -1.123310031
## 153 -0.11516530 0.030799640 -0.421225679
## 154 -0.03505031 0.060733426 -0.355405271
## 155 -0.35551027 0.052569666 -0.355405271
## 156 0.44563963 0.126043505 -0.026303231
## 157 0.20529466 0.066175932 -0.421225679
## 158 0.36552464 -0.012740413 -1.167190303
## 159 0.12517967 0.093388465 -1.013609351
## 161 0.20529466 0.145092278 -0.267644727
## 163 -0.27539528 0.093388465 -0.004363095
## 164 -0.19528029 -0.056280466 -1.211070575
## 166 0.04506468 -0.067165479 -0.969729079
## 167 0.28540965 0.017193373 -0.596746767
## 169 0.36552464 0.202238597 -0.048243367
## 170 0.20529466 0.117879745 0.412499489
## 171 -0.27539528 0.033520893 -0.618686903
## 172 -0.67597023 0.014472120 -0.377345407
## 173 -0.67597023 -0.007297907 -0.596746767
## 174 -1.23677516 -0.124311798 -1.123310031
## 175 -1.55723512 -0.061722972 0.039517177
## 176 -1.87769509 -0.039952946 0.478319897
## ManufacturingProcess20 ManufacturingProcess21 ManufacturingProcess22
## 3 0.184922958 0.21098038 -0.4220571
## 4 0.156270400 0.21098038 -0.1218132
## 5 0.293802679 -0.68842387 0.7789183
## 6 0.399817143 -0.55993755 1.0791622
## 7 -0.098737366 2.00978889 -1.3227886
## 8 -0.012779692 0.21098038 -1.0225447
## 13 0.270880632 0.21098038 0.7789183
## 16 0.242228074 0.33946670 1.9798937
## 17 0.285206911 0.21098038 -1.3227886
## 19 0.439930725 0.21098038 -0.7223009
## 21 0.425604446 0.21098038 -0.1218132
## 22 -13.055424100 3.42313843 0.1784306
## 24 0.144809377 2.13827521 -1.3227886
## 25 0.276611144 4.06557003 -0.1218132
## 26 0.288072167 3.68011107 -1.3227886
## 27 0.339646772 2.78070682 -1.0225447
## 28 0.308128958 1.75281624 -0.7223009
## 30 0.047390680 0.21098038 0.1784306
## 31 0.064582215 -0.30296491 0.4786745
## 32 0.124752586 0.85341199 0.7789183
## 33 -0.101602622 0.21098038 1.0791622
## 34 0.064582215 0.21098038 -0.1218132
## 38 -0.012779692 -0.43145123 -0.4220571
## 39 0.015872866 -0.30296491 -0.1218132
## 40 0.133348354 0.21098038 0.4786745
## 41 0.073177982 -0.30296491 0.7789183
## 44 0.058851703 -0.04599226 -0.7223009
## 45 0.225036539 -0.43145123 -0.4220571
## 46 -0.061489041 -0.81691019 -0.1218132
## 47 -0.052893273 0.21098038 0.1784306
## 48 -0.207617087 -1.45934180 0.4786745
## 49 -0.015644948 -0.55993755 1.0791622
## 50 -0.090141599 -0.17447858 1.3794060
## 51 -0.087276343 -0.55993755 1.6796498
## 52 -0.471220620 -0.68842387 1.9798937
## 53 -0.044297506 -0.55993755 -1.3227886
## 54 -0.436837551 -0.43145123 -1.0225447
## 55 -0.004183925 -0.55993755 -0.7223009
## 56 -0.181829784 1.36735728 -0.4220571
## 57 -0.072950064 1.11038463 -0.1218132
## 58 -0.135985692 0.72492567 0.1784306
## 59 -0.144581459 1.49584360 0.4786745
## 61 -0.061489041 0.72492567 1.3794060
## 62 0.001546587 1.88130256 1.6796498
## 65 0.084639005 2.00978889 -1.0225447
## 66 0.061716959 0.98189831 -0.7223009
## 67 0.004411843 0.98189831 -0.4220571
## 69 0.030199145 0.98189831 -1.3227886
## 70 0.116156819 0.21098038 -1.0225447
## 72 0.133348354 -0.17447858 -0.1218132
## 73 0.067447470 0.21098038 0.1784306
## 74 0.024468633 -0.30296491 0.4786745
## 75 0.076043238 -0.68842387 0.7789183
## 76 0.073177982 -0.30296491 1.0791622
## 79 -0.090141599 0.21098038 -1.3227886
## 82 -0.113063645 0.21098038 -0.4220571
## 85 0.121887331 -0.04599226 -1.0225447
## 86 0.213575516 -0.68842387 -0.7223009
## 87 0.176327191 -0.55993755 -0.4220571
## 88 0.173461935 -0.17447858 -0.1218132
## 91 0.041660168 0.08249406 1.0791622
## 92 0.035929657 -0.30296491 1.3794060
## 93 0.076043238 -0.81691019 1.6796498
## 94 0.064582215 0.21098038 -1.3227886
## 95 0.055986447 0.21098038 -0.7223009
## 96 0.073177982 0.21098038 -0.4220571
## 97 -0.004183925 0.21098038 -0.1218132
## 100 0.222171284 -1.07388284 -0.7223009
## 101 0.179192447 -0.43145123 -0.4220571
## 102 0.164866168 -0.30296491 -0.1218132
## 103 0.078908494 0.21098038 0.1784306
## 104 0.104695796 -0.30296491 0.4786745
## 106 0.110426307 -0.30296491 1.0791622
## 112 -0.067219552 -1.33085548 -0.4220571
## 114 0.030199145 -0.94539652 0.1784306
## 115 -0.087276343 0.72492567 0.4786745
## 117 -0.061489041 -0.43145123 -1.3227886
## 118 0.081773749 -0.30296491 -1.0225447
## 119 0.093234773 0.08249406 -0.7223009
## 120 0.156270400 -0.30296491 -0.4220571
## 121 0.101830540 -0.55993755 -0.1218132
## 122 0.190653470 -0.81691019 0.1784306
## 123 0.067447470 -1.07388284 0.4786745
## 125 0.156270400 -0.43145123 1.0791622
## 126 0.127617842 -1.20236916 1.3794060
## 127 -0.078680576 -1.33085548 1.6796498
## 128 0.004411843 -0.55993755 1.9798937
## 129 -0.173234017 -1.20236916 -1.3227886
## 130 -0.135985692 -0.30296491 -1.0225447
## 133 0.053121191 -1.58782812 -1.3227886
## 135 0.035929657 -0.68842387 -0.7223009
## 136 0.007277099 -2.10177341 -0.4220571
## 138 0.015872866 0.72492567 0.4786745
## 139 0.150539889 -0.17447858 0.7789183
## 140 0.184922958 1.11038463 1.0791622
## 142 0.033064401 -1.07388284 1.6796498
## 143 -0.018510204 -0.94539652 1.9798937
## 144 -0.072950064 -0.81691019 -1.3227886
## 145 0.070312726 -0.43145123 -1.0225447
## 146 0.139078865 -0.43145123 -0.7223009
## 148 0.164866168 -0.04599226 0.1784306
## 149 0.113291563 -1.33085548 0.4786745
## 150 0.061716959 -0.94539652 0.7789183
## 152 0.038794912 -1.45934180 -1.3227886
## 153 0.084639005 0.08249406 -1.0225447
## 154 0.093234773 0.08249406 -0.7223009
## 155 0.121887331 -0.81691019 -0.4220571
## 156 0.176327191 0.08249406 0.4786745
## 157 0.127617842 -0.17447858 0.7789183
## 158 0.038794912 -0.43145123 1.0791622
## 159 -0.041432250 -0.17447858 1.3794060
## 161 0.107561052 -0.55993755 1.9798937
## 163 -0.009914436 -0.68842387 1.0791622
## 164 -0.070084808 -0.17447858 -1.3227886
## 166 0.087504261 0.21098038 -0.7223009
## 167 0.127617842 0.08249406 -0.4220571
## 169 0.162000912 0.21098038 0.4786745
## 170 0.210710260 -0.17447858 0.7789183
## 171 0.090369517 -0.68842387 1.0791622
## 172 0.159135656 -0.30296491 -1.0225447
## 173 0.078908494 -0.43145123 -1.6230324
## 174 -0.052893273 -0.17447858 -1.6230324
## 175 0.101830540 -0.43145123 -1.6230324
## 176 0.144809377 -0.94539652 -1.6230324
## ManufacturingProcess23 ManufacturingProcess24 ManufacturingProcess25
## 3 -1.21328258 -0.83358055 0.184278572
## 4 -0.61179688 -0.66114958 0.170891014
## 5 0.59117451 1.58045295 0.272636460
## 6 -1.21328258 -1.35087344 0.114663267
## 7 -1.21328258 -1.35087344 -0.088827627
## 8 -0.61179688 -1.17844247 -0.059374998
## 13 -1.21328258 -0.14385669 0.160180966
## 16 0.59117451 1.23559102 0.053080496
## 17 -1.21328258 -1.35087344 0.085210637
## 19 -0.61179688 -1.00601151 0.128050825
## 21 0.59117451 -0.66114958 0.136083361
## 22 -0.61179688 1.23559102 0.240506319
## 24 -1.21328258 -1.35087344 0.125373314
## 25 1.19266021 0.54586717 0.211053690
## 26 -1.21328258 -0.48871862 0.433287166
## 27 -0.61179688 -0.31628765 0.369026884
## 28 -0.01031118 -0.14385669 0.355639325
## 30 0.59117451 -0.83358055 0.093243173
## 31 -1.21328258 -0.66114958 0.117340778
## 32 -0.61179688 -0.48871862 0.037015426
## 33 -0.01031118 -0.31628765 -0.021889833
## 34 1.19266021 0.54586717 0.002207773
## 38 -0.01031118 -1.00601151 -0.021889833
## 39 0.59117451 -0.83358055 -0.021889833
## 40 -0.61179688 -0.48871862 0.050402984
## 41 -0.01031118 -0.31628765 0.023627867
## 44 -0.01031118 -1.00601151 0.109308243
## 45 0.59117451 -0.83358055 0.152148431
## 46 1.19266021 -0.66114958 0.069145567
## 47 1.79414591 -0.48871862 0.095920684
## 48 -1.21328258 -0.31628765 -0.032599880
## 49 -0.01031118 0.02857427 0.058435520
## 50 0.59117451 0.20100524 0.101275708
## 51 1.19266021 0.37343620 0.047725473
## 52 1.79414591 0.54586717 -0.286963497
## 53 -1.21328258 0.71829813 0.087888149
## 54 -0.61179688 0.89072909 -0.217348191
## 55 -0.01031118 1.06316006 0.165535990
## 56 0.59117451 1.23559102 0.050402984
## 57 1.19266021 1.40802199 0.066468055
## 58 1.79414591 1.58045295 -0.021889833
## 59 -1.21328258 -1.35087344 -0.045987439
## 61 0.59117451 -0.83358055 0.103953220
## 62 1.19266021 -0.66114958 0.130728337
## 65 -0.61179688 -0.14385669 0.018272843
## 66 -0.01031118 0.02857427 0.034337914
## 67 0.59117451 0.20100524 -0.024567345
## 69 -1.21328258 0.71829813 0.130728337
## 70 -0.61179688 0.89072909 0.194988619
## 72 1.19266021 1.40802199 0.128050825
## 73 1.79414591 1.58045295 -0.008502274
## 74 -1.21328258 -1.35087344 0.055758008
## 75 -0.61179688 -1.17844247 0.146793408
## 76 -0.01031118 -1.00601151 0.165535990
## 79 -1.21328258 -0.31628765 0.018272843
## 82 0.59117451 0.20100524 0.133405849
## 85 -0.61179688 0.89072909 0.211053690
## 86 -0.01031118 1.06316006 0.103953220
## 87 0.59117451 1.23559102 0.042370449
## 88 1.19266021 1.40802199 0.026305379
## 91 0.59117451 -0.83358055 0.152148431
## 92 1.19266021 -0.66114958 0.047725473
## 93 1.79414591 -0.48871862 0.111985755
## 94 -1.21328258 -0.31628765 0.157503455
## 95 -0.01031118 0.02857427 0.117340778
## 96 0.59117451 0.20100524 0.162858478
## 97 1.19266021 0.37343620 0.090565661
## 100 -0.01031118 1.06316006 0.071823079
## 101 0.59117451 1.23559102 0.074500590
## 102 1.19266021 1.40802199 0.098598196
## 103 1.79414591 1.58045295 0.154825943
## 104 -1.21328258 -1.35087344 0.045047961
## 106 -0.01031118 -1.00601151 0.066468055
## 112 0.59117451 0.20100524 0.082533126
## 114 1.79414591 0.54586717 0.149470919
## 115 -1.21328258 0.71829813 0.053080496
## 117 -1.21328258 1.06316006 0.079855614
## 118 -0.61179688 1.23559102 0.077178102
## 119 -0.01031118 1.40802199 0.093243173
## 120 0.59117451 1.58045295 0.120018290
## 121 1.19266021 1.75288391 0.042370449
## 122 1.79414591 1.92531488 -0.008502274
## 123 -1.21328258 -1.35087344 -0.021889833
## 125 -0.01031118 -1.00601151 -0.051342462
## 126 0.59117451 -0.83358055 -0.021889833
## 127 1.19266021 -0.66114958 0.002207773
## 128 1.79414591 -0.48871862 0.090565661
## 129 -1.21328258 -0.31628765 0.010240308
## 130 -0.61179688 -0.14385669 0.074500590
## 133 -1.21328258 0.54586717 0.047725473
## 135 -0.01031118 0.89072909 -0.029922368
## 136 0.59117451 1.06316006 -0.115602744
## 138 -1.21328258 -1.35087344 0.034337914
## 139 -0.61179688 -1.17844247 -0.016534809
## 140 -0.01031118 -1.00601151 -0.059374998
## 142 1.19266021 -0.66114958 0.002207773
## 143 1.79414591 -0.48871862 -0.013857298
## 144 -1.21328258 -0.31628765 -0.070085045
## 145 -0.61179688 -0.14385669 0.061113031
## 146 -0.01031118 0.02857427 0.042370449
## 148 -0.01031118 0.54586717 -0.120957768
## 149 0.59117451 0.71829813 -0.139700350
## 150 1.19266021 0.89072909 0.034337914
## 152 -1.21328258 1.23559102 -0.043309927
## 153 -0.61179688 1.40802199 0.095920684
## 154 -0.01031118 1.58045295 0.028982890
## 155 0.59117451 1.75288391 0.042370449
## 156 -0.01031118 -1.00601151 0.063790543
## 157 0.59117451 -0.83358055 0.028982890
## 158 1.19266021 -0.66114958 0.090565661
## 159 -1.21328258 -0.48871862 0.063790543
## 161 -0.01031118 -0.14385669 0.208376178
## 163 1.19266021 1.40802199 0.071823079
## 164 -1.21328258 1.75288391 -0.051342462
## 166 -0.01031118 2.09774584 -0.035277392
## 167 0.59117451 2.27017681 0.023627867
## 169 -1.21328258 -1.35087344 0.200343643
## 170 -0.61179688 -1.17844247 0.117340778
## 171 -0.01031118 -1.00601151 0.010240308
## 172 -0.61179688 -0.14385669 0.036479923
## 173 -1.81476827 -1.52330440 -0.006360265
## 174 -1.81476827 -1.52330440 -0.016534809
## 175 -1.81476827 -1.52330440 0.015059829
## 176 -1.81476827 -1.52330440 -0.010108781
## ManufacturingProcess26 ManufacturingProcess27 ManufacturingProcess28
## 3 0.2159830724 0.210436193 0.8588688
## 4 0.2052273192 0.190661337 0.8588688
## 5 0.2912733449 0.343210230 0.8969714
## 6 0.2417968802 0.351685169 0.9160227
## 7 0.0890651845 0.026812525 0.8779201
## 8 0.0933674858 0.066362238 0.8588688
## 13 0.2439480308 0.255635865 0.9160227
## 16 0.1708089089 0.190661337 0.8588688
## 17 0.1815646622 0.272585743 0.8588688
## 19 0.2009250179 0.377109985 0.8588688
## 21 0.2181342231 0.377109985 0.8588688
## 22 0.2934244956 0.156761583 0.9160227
## 24 0.1708089089 0.122861828 0.8779201
## 25 0.2891221943 0.193486316 0.9350741
## 26 0.3106337007 0.368635046 0.8398175
## 27 0.2073784699 0.275410722 0.7826636
## 28 0.2073784699 0.244335947 0.7826636
## 30 0.0503444729 0.004212689 0.7636122
## 31 0.0955186364 0.057887300 0.7826636
## 32 0.0890651845 0.032462484 0.8207662
## 33 0.0567979249 0.001387709 0.8207662
## 34 0.0094726107 0.077662156 0.7636122
## 38 -0.0206434983 -0.029687065 0.7445609
## 39 -0.0055854438 -0.024037106 0.7636122
## 40 0.0804605819 0.125686808 0.8207662
## 41 0.0740071300 0.100261992 0.8207662
## 44 0.0976697871 0.114386890 0.7826636
## 45 0.1772623609 0.136986726 0.8398175
## 46 0.0395887197 -0.043811963 0.7636122
## 47 0.0869140339 -0.018387147 0.7826636
## 48 0.1514485532 -0.230260611 0.8398175
## 49 0.1794135115 -0.040986983 0.8779201
## 50 0.0632513768 -0.089011635 0.7636122
## 51 0.0352864184 -0.117261430 0.7636122
## 52 -0.2465143158 -0.413884279 0.6493044
## 53 0.1191812935 -0.035337024 0.8207662
## 54 -0.1862820978 -0.394109423 0.6683557
## 55 0.1148789922 -0.029687065 0.7826636
## 56 0.0116237614 -0.125736369 0.7445609
## 57 0.0374375691 -0.049461922 0.7636122
## 58 0.0008680082 -0.108786492 0.7636122
## 59 0.0008680082 -0.122911389 0.7826636
## 61 0.0546467742 -0.024037106 0.7636122
## 62 0.0761582807 0.069187218 0.7826636
## 65 0.1256347454 0.083312115 0.8207662
## 66 0.1471462519 0.086137095 0.8398175
## 67 0.1062743897 0.035287463 0.8207662
## 69 0.0438910210 0.018337586 0.7255096
## 70 0.1019720884 0.072012197 0.7636122
## 72 0.1944715660 0.131336767 0.8588688
## 73 0.1019720884 0.055062320 0.8398175
## 74 0.0546467742 -0.015562168 0.7064583
## 75 0.0632513768 0.057887300 0.6874070
## 76 0.0912163352 0.069187218 0.7064583
## 79 -0.0012831425 -0.072061758 0.7064583
## 82 0.0718559794 -0.046636943 0.7064583
## 85 0.1535997038 0.111561910 0.7445609
## 86 0.1428439506 0.224561091 0.7826636
## 87 0.1105766909 0.196311296 0.7826636
## 88 0.0804605819 0.168061501 0.7636122
## 91 0.0567979249 -0.046636943 0.7064583
## 92 0.0073214601 0.026812525 0.7064583
## 93 0.0826117326 0.091787054 0.7445609
## 94 0.0869140339 0.035287463 0.7255096
## 95 0.0826117326 0.009862648 0.7445609
## 96 0.1170301429 0.077662156 0.7445609
## 97 0.0524956236 -0.001437270 0.7255096
## 100 0.0654025274 0.230211050 0.7445609
## 101 0.0546467742 0.201961255 0.7255096
## 102 0.0546467742 0.122861828 0.7255096
## 103 0.0761582807 0.088962074 0.7064583
## 104 0.0073214601 0.077662156 0.6874070
## 106 0.0245306652 0.120036849 -1.2558268
## 112 -0.0098877451 -0.077711717 -1.2558268
## 114 0.0460421717 0.001387709 -1.2558268
## 115 -0.0851780176 -0.108786492 -1.2558268
## 117 0.0288329665 -0.046636943 -1.2558268
## 118 0.0352864184 0.100261992 -1.2558268
## 119 0.0438910210 0.128511787 -1.2558268
## 120 0.0589490755 0.108736931 -1.2558268
## 121 0.0847628832 0.153936603 -1.2558268
## 122 0.0804605819 0.266935784 -1.2558268
## 123 0.0137749120 0.063537259 -1.2558268
## 125 0.0890651845 0.170886480 -1.2558268
## 126 0.0740071300 0.122861828 -1.2558268
## 127 -0.0141900463 -0.080536697 -1.2558268
## 128 0.0417398704 0.004212689 -1.2558268
## 129 -0.0550619086 -0.083361676 -1.2558268
## 130 0.0912163352 0.049412361 -1.2558268
## 133 0.0524956236 0.032462484 -1.2558268
## 135 -0.0077365944 0.060712279 -1.2558268
## 136 -0.0916314695 -0.015562168 -1.2558268
## 138 -0.0421550047 0.018337586 -1.2558268
## 139 0.0051703094 0.122861828 -1.2558268
## 140 -0.0335504021 0.139811705 -1.2558268
## 142 0.0223795146 0.026812525 -1.2558268
## 143 0.0137749120 -0.012737188 -1.2558268
## 144 -0.0486084566 -0.083361676 -1.2558268
## 145 0.0718559794 0.094612033 -1.2558268
## 146 0.0417398704 0.072012197 -1.2558268
## 148 -0.0701199631 0.097437013 -1.2558268
## 149 -0.0443061553 0.125686808 -1.2558268
## 150 0.0159260627 0.052237340 -1.2558268
## 152 -0.0163411970 0.012687627 -1.2558268
## 153 0.0869140339 0.105911951 -1.2558268
## 154 0.0073214601 0.063537259 -1.2558268
## 155 0.0202283639 0.088962074 -1.2558268
## 156 0.0331352678 0.122861828 -1.2558268
## 157 -0.0012831425 0.088962074 -1.2558268
## 158 0.0955186364 0.131336767 -1.2558268
## 159 -0.0141900463 -0.018387147 -1.2558268
## 161 0.0675536781 0.063537259 -1.2558268
## 163 0.0847628832 0.052237340 -1.2558268
## 164 -0.0550619086 -0.074886738 -1.2558268
## 166 -0.0529107579 0.097437013 -1.2558268
## 167 0.0180772133 0.128511787 -1.2558268
## 169 0.0395887197 0.122861828 -1.2558268
## 170 0.0912163352 0.187836357 -1.2558268
## 171 -0.0055854438 0.063537259 -1.2558268
## 172 0.0279725063 0.070317209 -1.2558268
## 173 0.0081819203 0.029637504 -1.2558268
## 174 0.0116237614 0.016642599 -0.4404307
## 175 0.0086121505 0.045457390 -1.2558268
## 176 0.0146353723 0.035287463 -0.8405082
## ManufacturingProcess29 ManufacturingProcess30 ManufacturingProcess31
## 3 0.77462484 0.24444298 -0.159256679
## 4 0.77462484 0.24444298 -0.159256679
## 5 0.95492545 -0.16535849 -0.141257412
## 6 1.01502566 0.96159555 -0.357248625
## 7 0.71452464 2.08854960 -0.465244232
## 8 0.71452464 1.78119849 -0.411246429
## 13 1.01502566 0.75669482 -0.321250090
## 16 0.71452464 1.16649629 -0.303250822
## 17 0.77462484 0.85914519 -0.267252286
## 19 0.83472505 0.65424445 -0.249253019
## 21 0.89482525 0.75669482 -0.267252286
## 22 0.65442444 -0.37025922 -0.015262537
## 24 0.53422403 0.34689335 -0.087259608
## 25 0.77462484 0.03954225 -0.123258144
## 26 0.59432423 -1.70211400 0.236727212
## 27 0.35392342 -1.59966363 0.308724283
## 28 0.29382322 -1.59966363 0.290725016
## 30 0.05342240 -0.16535849 0.128731605
## 31 0.23372301 -0.06290812 0.074733802
## 32 0.23372301 0.55179408 -0.051261073
## 33 0.23372301 0.85914519 -0.105258876
## 34 0.05342240 0.55179408 0.020735999
## 38 -0.00667780 0.65424445 0.002736731
## 39 0.05342240 0.65424445 -0.015262537
## 40 0.29382322 0.55179408 -0.051261073
## 41 0.23372301 0.65424445 -1.869187121
## 44 0.17362281 -0.16535849 0.092733070
## 45 0.35392342 -0.26780886 0.038735266
## 46 -0.00667780 -0.06290812 0.128731605
## 47 0.11352261 -0.16535849 0.092733070
## 48 0.11352261 0.75669482 -0.051261073
## 49 0.41402362 0.44934372 -0.087259608
## 50 -0.00667780 -0.37025922 0.182729409
## 51 -0.00667780 0.03954225 0.110732338
## 52 -0.66778004 1.67874813 0.002736731
## 53 0.29382322 0.14199261 0.020735999
## 54 -0.48747943 1.37139702 0.020735999
## 55 0.17362281 -0.57515996 0.182729409
## 56 -0.06677800 -0.06290812 0.146730873
## 57 0.05342240 0.03954225 0.092733070
## 58 -0.00667780 0.55179408 0.020735999
## 59 0.05342240 0.85914519 -0.051261073
## 61 0.05342240 -0.26780886 0.146730873
## 62 0.17362281 -0.26780886 0.110732338
## 65 0.23372301 0.55179408 -0.069260340
## 66 0.29382322 0.55179408 -0.069260340
## 67 0.23372301 0.85914519 -0.105258876
## 69 -0.00667780 -0.47270959 0.200728677
## 70 0.11352261 -0.78006069 0.218727944
## 72 0.47412383 0.14199261 -0.051261073
## 73 0.29382322 0.75669482 -0.105258876
## 74 -0.24707861 -0.26780886 0.254726480
## 75 -0.24707861 -0.88251106 0.344722819
## 76 -0.18697841 -0.88251106 0.326723551
## 79 -0.30717882 -0.06290812 0.200728677
## 82 -0.24707861 -0.78006069 0.344722819
## 85 -0.00667780 -0.98496143 0.290725016
## 86 0.11352261 -0.06290812 0.092733070
## 87 0.05342240 0.24444298 0.056734534
## 88 -0.00667780 0.24444298 0.074733802
## 91 -0.18697841 -0.88251106 0.326723551
## 92 -0.24707861 -0.06290812 0.200728677
## 93 -0.06677800 -0.37025922 0.200728677
## 94 -0.12687821 -0.78006069 0.290725016
## 95 -0.06677800 -0.37025922 0.218727944
## 96 -0.00667780 -0.67761032 0.254726480
## 97 -0.18697841 -0.37025922 0.236727212
## 100 -0.06677800 0.03954225 0.128731605
## 101 -0.06677800 -0.06290812 0.164730141
## 102 -0.18697841 -0.37025922 0.218727944
## 103 -0.18697841 -0.88251106 0.326723551
## 104 -0.24707861 -0.16535849 0.218727944
## 106 -0.18697841 -0.16535849 0.218727944
## 112 -0.42737922 -0.57515996 0.344722819
## 114 -0.30717882 -0.98496143 0.380721355
## 115 -0.48747943 -0.47270959 0.344722819
## 117 -0.24707861 -0.37025922 0.254726480
## 118 -0.18697841 -0.16535849 0.200728677
## 119 -0.18697841 -0.26780886 0.218727944
## 120 -0.12687821 -0.47270959 0.236727212
## 121 -0.00667780 0.24444298 0.074733802
## 122 0.11352261 0.85914519 -0.051261073
## 123 -0.12687821 0.44934372 0.074733802
## 125 0.11352261 0.96159555 -0.087259608
## 126 0.05342240 0.75669482 -0.015262537
## 127 -0.30717882 -0.06290812 0.218727944
## 128 -0.18697841 -0.37025922 0.254726480
## 129 -0.42737922 -0.06290812 0.254726480
## 130 -0.00667780 -0.06290812 0.128731605
## 133 -0.12687821 -0.06290812 0.164730141
## 135 -0.24707861 0.44934372 0.110732338
## 136 -0.42737922 0.85914519 0.074733802
## 138 -0.36727902 -0.06290812 0.236727212
## 139 -0.12687821 0.44934372 0.074733802
## 140 -0.18697841 0.75669482 0.038735266
## 142 -0.12687821 0.24444298 0.092733070
## 143 -0.18697841 0.34689335 0.110732338
## 144 -0.30717882 0.65424445 0.092733070
## 145 -0.00667780 0.14199261 0.092733070
## 146 -0.06677800 0.24444298 0.092733070
## 148 -0.30717882 1.06404592 0.020735999
## 149 -0.18697841 1.37139702 -0.069260340
## 150 -0.12687821 0.14199261 0.128731605
## 152 -0.18697841 0.55179408 0.074733802
## 153 -0.00667780 -0.16535849 0.146730873
## 154 -0.18697841 0.14199261 0.128731605
## 155 -0.12687821 0.14199261 0.128731605
## 156 -0.12687821 -0.06290812 0.146730873
## 157 -0.18697841 0.14199261 0.146730873
## 158 0.05342240 -0.06290812 0.110732338
## 159 -0.36727902 -0.37025922 0.290725016
## 161 -0.18697841 -1.08741179 0.362722087
## 163 -0.06677800 -0.06290812 0.146730873
## 164 -0.30717882 0.44934372 0.128731605
## 166 -0.24707861 0.55179408 0.092733070
## 167 -0.12687821 0.24444298 0.110732338
## 169 -0.30717882 -1.18986216 0.416719890
## 170 0.05342240 -0.26780886 0.146730873
## 171 -0.18697841 0.24444298 0.146730873
## 172 -0.11485817 0.16248269 0.121531898
## 173 -0.15091829 0.42885364 0.089133216
## 174 -0.05475796 0.59277423 -0.332049650
## 175 -0.16293833 0.26493306 0.121531898
## 176 -0.09081809 0.51081394 -0.303250822
## ManufacturingProcess32 ManufacturingProcess33 ManufacturingProcess34
## 3 2.69287190 0.98903070 1.9568096
## 4 2.32231251 1.79438428 0.1182687
## 5 2.32231251 2.59973785 0.1182687
## 6 2.69287190 2.59973785 0.1182687
## 7 0.09895620 0.58635392 0.1182687
## 8 0.46951558 0.58635392 0.1182687
## 13 1.39591405 1.79438428 -1.7202722
## 16 1.39591405 0.98903070 0.1182687
## 17 1.58119374 1.79438428 0.1182687
## 19 -0.45688288 0.18367713 -1.7202722
## 21 -0.27160319 -0.21899966 0.1182687
## 22 0.65479528 1.79438428 -1.7202722
## 24 0.46951558 0.58635392 0.1182687
## 25 1.58119374 0.98903070 0.1182687
## 26 0.46951558 0.58635392 0.1182687
## 27 0.09895620 0.58635392 -1.7202722
## 28 -0.27160319 0.18367713 0.1182687
## 30 -0.27160319 0.18367713 0.1182687
## 31 0.28423589 -0.21899966 0.1182687
## 32 0.84007497 0.98903070 0.1182687
## 33 0.46951558 0.18367713 0.1182687
## 34 -0.45688288 -1.02435323 0.1182687
## 38 1.39591405 0.58635392 0.1182687
## 39 1.39591405 1.79438428 -1.7202722
## 40 0.28423589 0.58635392 0.1182687
## 41 0.09895620 0.18367713 0.1182687
## 44 0.28423589 -0.21899966 0.1182687
## 45 0.65479528 0.18367713 0.1182687
## 46 1.21063435 0.58635392 0.1182687
## 47 1.76647343 0.58635392 1.9568096
## 48 1.02535466 2.19706106 -1.7202722
## 49 1.58119374 1.79438428 -1.7202722
## 50 2.13703282 1.79438428 0.1182687
## 51 1.95175313 1.39170749 0.1182687
## 52 0.65479528 0.58635392 0.1182687
## 53 1.21063435 0.98903070 0.1182687
## 54 -0.27160319 -0.21899966 0.1182687
## 55 1.02535466 1.39170749 0.1182687
## 56 0.28423589 0.98903070 -1.7202722
## 57 -0.45688288 -0.21899966 0.1182687
## 58 -0.45688288 0.18367713 -1.7202722
## 59 -0.27160319 -0.21899966 0.1182687
## 61 0.46951558 0.18367713 0.1182687
## 62 -1.01272196 -1.02435323 0.1182687
## 65 0.65479528 -0.21899966 1.9568096
## 66 0.84007497 -0.21899966 1.9568096
## 67 0.28423589 -0.62167644 1.9568096
## 69 -0.45688288 -0.62167644 0.1182687
## 70 0.09895620 -0.21899966 0.1182687
## 72 0.65479528 0.58635392 0.1182687
## 73 0.28423589 -0.21899966 1.9568096
## 74 -0.08632349 0.18367713 0.1182687
## 75 -0.45688288 -0.62167644 0.1182687
## 76 0.09895620 0.18367713 0.1182687
## 79 -0.45688288 -0.21899966 0.1182687
## 82 1.58119374 0.58635392 1.9568096
## 85 1.21063435 1.79438428 -1.7202722
## 86 0.28423589 0.18367713 0.1182687
## 87 0.09895620 0.18367713 0.1182687
## 88 0.09895620 -0.62167644 0.1182687
## 91 -0.08632349 -0.21899966 0.1182687
## 92 -0.45688288 -0.62167644 0.1182687
## 93 -0.82744226 -1.42703002 0.1182687
## 94 -0.08632349 -0.21899966 0.1182687
## 95 1.02535466 0.98903070 0.1182687
## 96 0.28423589 0.18367713 0.1182687
## 97 0.09895620 0.18367713 0.1182687
## 100 -1.38328134 -1.42703002 0.1182687
## 101 -1.56856103 -1.42703002 0.1182687
## 102 -0.82744226 -0.62167644 0.1182687
## 103 -0.27160319 -0.21899966 0.1182687
## 104 -0.45688288 -0.62167644 0.1182687
## 106 -0.45688288 -0.62167644 0.1182687
## 112 -0.08632349 -0.21899966 0.1182687
## 114 0.46951558 0.58635392 0.1182687
## 115 0.84007497 0.58635392 0.1182687
## 117 0.84007497 0.58635392 0.1182687
## 118 -1.01272196 -1.02435323 0.1182687
## 119 -0.45688288 -1.02435323 1.9568096
## 120 -0.27160319 -1.02435323 1.9568096
## 121 -1.75384073 -1.82970680 1.9568096
## 122 -2.30967980 -3.03773716 1.9568096
## 123 0.09895620 0.18367713 0.1182687
## 125 -1.38328134 -2.23238359 0.1182687
## 126 -0.82744226 -1.42703002 0.1182687
## 127 0.28423589 -0.21899966 0.1182687
## 128 0.28423589 0.98903070 -1.7202722
## 129 0.65479528 0.58635392 0.1182687
## 130 -0.08632349 0.18367713 0.1182687
## 133 -0.08632349 0.58635392 0.1182687
## 135 -1.56856103 -0.62167644 -1.7202722
## 136 -1.75384073 -1.42703002 0.1182687
## 138 -1.01272196 0.18367713 -1.7202722
## 139 -1.19800165 -1.42703002 1.9568096
## 140 -1.38328134 -1.82970680 1.9568096
## 142 -0.45688288 -1.02435323 0.1182687
## 143 -0.45688288 -1.02435323 0.1182687
## 144 -0.45688288 0.18367713 -1.7202722
## 145 -1.01272196 -0.62167644 0.1182687
## 146 -1.19800165 -0.21899966 -1.7202722
## 148 -1.75384073 -1.82970680 0.1182687
## 149 -2.86551888 -3.03773716 0.1182687
## 150 -1.38328134 -1.42703002 0.1182687
## 152 -0.82744226 -0.21899966 0.1182687
## 153 -0.64216257 -0.21899966 -1.7202722
## 154 -0.82744226 -1.02435323 0.1182687
## 155 -1.19800165 -1.02435323 0.1182687
## 156 -1.19800165 0.58635392 -3.5588130
## 157 -0.82744226 0.18367713 -1.7202722
## 158 -0.45688288 -0.21899966 0.1182687
## 159 -0.45688288 0.18367713 0.1182687
## 161 -0.08632349 -0.21899966 0.1182687
## 163 -0.08632349 0.58635392 -1.7202722
## 164 -0.64216257 -1.02435323 0.1182687
## 166 -1.38328134 -1.02435323 0.1182687
## 167 -1.38328134 -1.42703002 0.1182687
## 169 -0.08632349 0.98903070 -1.7202722
## 170 0.28423589 0.98903070 -1.7202722
## 171 0.28423589 -0.21899966 0.1182687
## 172 -0.45688288 -0.21899966 -0.9848558
## 173 -0.08632349 -0.21899966 -0.2494395
## 174 1.58119374 0.02260642 0.1182687
## 175 -0.45688288 -0.46060573 -0.6171476
## 176 0.28423589 -0.13846430 0.1182687
## ManufacturingProcess35 ManufacturingProcess36 ManufacturingProcess37
## 3 1.23880740 -1.80004199 -0.70466970
## 4 0.03729394 -1.80004199 0.41871678
## 5 -2.55058120 -2.94430660 -1.82805617
## 6 -0.51725073 -1.80004199 -1.37870158
## 7 -1.90361242 -0.65577738 -0.47999240
## 8 -1.62634008 -0.65577738 -0.03063781
## 13 -0.51725073 -1.80004199 0.19403948
## 16 -0.23997840 -0.65577738 0.41871678
## 17 -0.05513017 -0.65577738 0.64339407
## 19 1.70092796 1.63275184 -0.70466970
## 21 -0.05513017 0.48848723 -0.25531511
## 22 -1.53391597 -1.80004199 -0.25531511
## 24 -2.55058120 -1.80004199 0.64339407
## 25 0.86911095 -0.65577738 -0.03063781
## 26 0.40699039 -0.65577738 -0.25531511
## 27 -0.33240251 -0.65577738 -0.25531511
## 28 2.44032086 1.63275184 -0.25531511
## 30 0.77668684 0.48848723 -0.70466970
## 31 -0.88694718 -0.65577738 1.31742595
## 32 -0.88694718 -0.65577738 -0.70466970
## 33 -1.81118831 -1.80004199 1.31742595
## 34 0.03729394 0.48848723 0.19403948
## 38 -1.07179541 -1.80004199 1.54210325
## 39 0.96153506 -0.65577738 -2.27741076
## 40 -0.70209896 -0.65577738 -2.27741076
## 41 -0.23997840 -0.65577738 -2.27741076
## 44 0.49941450 0.48848723 -0.03063781
## 45 -0.51725073 -0.65577738 -1.60337888
## 46 -0.51725073 -0.65577738 0.41871678
## 47 -0.33240251 -1.80004199 -0.70466970
## 48 -0.23997840 -0.65577738 1.76678054
## 49 -0.51725073 -1.80004199 -0.92934699
## 50 -0.51725073 -1.80004199 -0.47999240
## 51 0.77668684 -0.65577738 0.64339407
## 52 0.03729394 -0.65577738 -1.37870158
## 53 -0.05513017 -0.65577738 1.99145784
## 54 0.49941450 0.48848723 0.86807137
## 55 -1.16421952 -1.80004199 -0.25531511
## 56 1.23880740 0.48848723 -0.92934699
## 57 -3.01270177 -0.65577738 0.19403948
## 58 -0.70209896 0.48848723 -1.15402429
## 59 1.51607974 0.48848723 0.86807137
## 61 1.60850385 0.48848723 -0.70466970
## 62 -1.07179541 0.48848723 0.64339407
## 65 -0.33240251 -0.65577738 -0.03063781
## 66 0.22214216 -0.65577738 -0.03063781
## 67 0.77668684 0.48848723 -1.15402429
## 69 0.40699039 0.48848723 0.19403948
## 70 -0.79452307 -0.65577738 -0.25531511
## 72 -0.14755428 -0.65577738 0.64339407
## 73 0.40699039 0.48848723 -0.92934699
## 74 -0.05513017 0.48848723 0.19403948
## 75 0.12971805 0.48848723 1.99145784
## 76 0.12971805 0.48848723 -0.70466970
## 79 -0.14755428 0.48848723 -0.03063781
## 82 1.05395918 -0.65577738 -1.82805617
## 85 -0.23997840 -0.65577738 -0.25531511
## 86 0.31456628 -0.65577738 0.86807137
## 87 1.60850385 0.48848723 -0.25531511
## 88 0.22214216 0.48848723 0.41871678
## 91 -1.62634008 -0.65577738 -0.03063781
## 92 2.44032086 1.63275184 -0.47999240
## 93 -0.33240251 0.48848723 0.19403948
## 94 -0.42482662 -0.65577738 -0.25531511
## 95 -0.51725073 -0.65577738 -0.03063781
## 96 -1.25664363 -0.65577738 -0.03063781
## 97 0.31456628 0.48848723 -0.70466970
## 100 -0.42482662 0.48848723 0.64339407
## 101 -0.88694718 0.48848723 1.31742595
## 102 1.05395918 1.63275184 -0.47999240
## 103 0.22214216 0.48848723 0.64339407
## 104 0.03729394 0.48848723 -0.70466970
## 106 -0.23997840 0.48848723 -1.15402429
## 112 -0.70209896 -0.65577738 -0.70466970
## 114 0.40699039 -0.65577738 -0.70466970
## 115 -0.33240251 -0.65577738 0.64339407
## 117 -0.05513017 -0.65577738 -0.03063781
## 118 0.40699039 0.48848723 -0.25531511
## 119 0.49941450 0.48848723 -0.70466970
## 120 0.12971805 0.48848723 -1.15402429
## 121 -0.88694718 0.48848723 0.19403948
## 122 0.31456628 1.63275184 -1.15402429
## 123 -0.60967485 -0.65577738 -0.25531511
## 125 0.22214216 1.63275184 0.19403948
## 126 0.86911095 0.48848723 -0.70466970
## 127 1.05395918 0.48848723 -0.03063781
## 128 0.59183861 0.48848723 -0.70466970
## 129 0.40699039 -0.65577738 -1.37870158
## 130 1.88577619 0.48848723 -0.47999240
## 133 0.31456628 0.48848723 -0.92934699
## 135 0.59183861 1.63275184 0.19403948
## 136 0.40699039 1.63275184 0.19403948
## 138 0.59183861 1.63275184 0.19403948
## 139 0.12971805 0.48848723 0.19403948
## 140 1.23880740 1.63275184 0.64339407
## 142 0.12971805 0.48848723 -0.03063781
## 143 1.23880740 0.48848723 -0.03063781
## 144 -0.23997840 0.48848723 0.19403948
## 145 -0.97937130 0.48848723 1.76678054
## 146 1.97820030 1.63275184 -0.03063781
## 148 -0.51725073 1.63275184 -0.70466970
## 149 0.03729394 2.77701645 -0.03063781
## 150 -2.36573298 -0.65577738 0.64339407
## 152 0.40699039 0.48848723 -0.47999240
## 153 -0.23997840 0.48848723 1.76678054
## 154 0.49941450 0.48848723 -0.70466970
## 155 -2.36573298 -0.65577738 1.54210325
## 156 0.86911095 1.63275184 1.09274866
## 157 1.97820030 1.63275184 -1.37870158
## 158 0.59183861 0.48848723 1.54210325
## 159 0.59183861 0.48848723 -0.25531511
## 161 0.96153506 0.48848723 -0.25531511
## 163 -1.25664363 -0.65577738 1.31742595
## 164 -0.70209896 0.48848723 -0.03063781
## 166 1.42365562 1.63275184 0.19403948
## 167 1.05395918 1.63275184 1.99145784
## 169 -1.90361242 -0.65577738 1.31742595
## 170 0.03729394 -0.65577738 0.86807137
## 171 0.03729394 -0.65577738 -0.92934699
## 172 -0.99785612 -0.19807154 2.89016702
## 173 -0.35088733 0.03078139 -0.03063781
## 174 -1.01634094 -0.65577738 0.64339407
## 175 -0.99785612 -0.19807154 2.89016702
## 176 -0.79452307 -0.42692446 -0.25531511
## ManufacturingProcess38 ManufacturingProcess39 ManufacturingProcess40
## 3 -0.8224687 0.23172698 -0.4626528
## 4 -0.8224687 0.23172698 -0.4626528
## 5 -0.8224687 0.29815035 -0.4626528
## 6 -0.8224687 0.23172698 -0.4626528
## 7 -0.8224687 0.29815035 -0.4626528
## 8 -0.8224687 0.29815035 -0.4626528
## 13 0.7174727 0.16530361 -0.4626528
## 16 0.7174727 0.29815035 2.1490969
## 17 0.7174727 0.36457371 -0.4626528
## 19 0.7174727 0.29815035 -0.4626528
## 21 0.7174727 0.29815035 2.1490969
## 22 -0.8224687 0.36457371 -0.4626528
## 24 -0.8224687 0.23172698 -0.4626528
## 25 -0.8224687 0.23172698 -0.4626528
## 26 0.7174727 0.03245687 -0.4626528
## 27 0.7174727 0.16530361 -0.4626528
## 28 0.7174727 0.36457371 -0.4626528
## 30 0.7174727 -0.03396650 -0.4626528
## 31 -0.8224687 0.16530361 -0.4626528
## 32 -0.8224687 0.16530361 -0.4626528
## 33 -0.8224687 0.23172698 2.1490969
## 34 -0.8224687 0.43099708 2.1490969
## 38 -0.8224687 0.16530361 -0.4626528
## 39 -0.8224687 0.16530361 2.1490969
## 40 -0.8224687 0.23172698 -0.4626528
## 41 -0.8224687 0.23172698 -0.4626528
## 44 0.7174727 0.16530361 -0.4626528
## 45 -0.8224687 0.16530361 -0.4626528
## 46 0.7174727 0.09888024 -0.4626528
## 47 0.7174727 0.36457371 -0.4626528
## 48 0.7174727 -0.10038986 2.1490969
## 49 0.7174727 0.29815035 -0.4626528
## 50 0.7174727 0.29815035 -0.4626528
## 51 0.7174727 0.16530361 -0.4626528
## 52 0.7174727 0.16530361 2.1490969
## 53 0.7174727 0.36457371 -0.4626528
## 54 0.7174727 0.29815035 -0.4626528
## 55 0.7174727 0.23172698 -0.4626528
## 56 0.7174727 0.29815035 -0.4626528
## 57 -0.8224687 0.29815035 2.1490969
## 58 0.7174727 0.29815035 -0.4626528
## 59 0.7174727 0.16530361 -0.4626528
## 61 0.7174727 0.16530361 2.1490969
## 62 -0.8224687 0.16530361 -0.4626528
## 65 -0.8224687 0.09888024 -0.4626528
## 66 0.7174727 0.03245687 -0.4626528
## 67 0.7174727 -0.03396650 -0.4626528
## 69 0.7174727 0.29815035 -0.4626528
## 70 0.7174727 0.16530361 2.1490969
## 72 0.7174727 0.16530361 -0.4626528
## 73 -0.8224687 0.09888024 -0.4626528
## 74 0.7174727 0.36457371 2.1490969
## 75 -0.8224687 0.16530361 -0.4626528
## 76 -0.8224687 0.09888024 -0.4626528
## 79 0.7174727 0.16530361 -0.4626528
## 82 0.7174727 0.16530361 -0.4626528
## 85 -0.8224687 0.16530361 -0.4626528
## 86 0.7174727 0.23172698 -0.4626528
## 87 -0.8224687 0.16530361 2.1490969
## 88 -0.8224687 0.23172698 -0.4626528
## 91 -0.8224687 0.23172698 2.1490969
## 92 0.7174727 0.23172698 -0.4626528
## 93 -0.8224687 0.23172698 -0.4626528
## 94 -0.8224687 0.23172698 -0.4626528
## 95 -0.8224687 0.23172698 2.1490969
## 96 -0.8224687 0.23172698 -0.4626528
## 97 -0.8224687 0.23172698 -0.4626528
## 100 -0.8224687 0.23172698 -0.4626528
## 101 -0.8224687 0.23172698 -0.4626528
## 102 0.7174727 0.23172698 -0.4626528
## 103 0.7174727 0.23172698 -0.4626528
## 104 0.7174727 0.29815035 2.1490969
## 106 0.7174727 0.16530361 -0.4626528
## 112 0.7174727 0.09888024 -0.4626528
## 114 0.7174727 0.16530361 -0.4626528
## 115 0.7174727 0.16530361 -0.4626528
## 117 0.7174727 0.03245687 -0.4626528
## 118 0.7174727 0.09888024 2.1490969
## 119 -0.8224687 0.16530361 -0.4626528
## 120 0.7174727 0.03245687 -0.4626528
## 121 0.7174727 0.03245687 -0.4626528
## 122 -0.8224687 0.09888024 -0.4626528
## 123 -0.8224687 0.16530361 2.1490969
## 125 0.7174727 0.16530361 -0.4626528
## 126 0.7174727 0.09888024 -0.4626528
## 127 0.7174727 0.23172698 -0.4626528
## 128 -0.8224687 0.23172698 2.1490969
## 129 -0.8224687 0.09888024 -0.4626528
## 130 0.7174727 0.09888024 -0.4626528
## 133 -0.8224687 0.23172698 -0.4626528
## 135 0.7174727 0.23172698 -0.4626528
## 136 -0.8224687 0.23172698 -0.4626528
## 138 0.7174727 0.29815035 -0.4626528
## 139 0.7174727 0.23172698 -0.4626528
## 140 0.7174727 0.29815035 -0.4626528
## 142 0.7174727 0.23172698 -0.4626528
## 143 0.7174727 0.23172698 -0.4626528
## 144 -0.8224687 0.29815035 -0.4626528
## 145 -0.8224687 0.29815035 2.1490969
## 146 0.7174727 0.29815035 -0.4626528
## 148 -0.8224687 0.23172698 -0.4626528
## 149 0.7174727 0.16530361 2.1490969
## 150 -0.8224687 0.23172698 -0.4626528
## 152 0.7174727 0.36457371 -0.4626528
## 153 -0.8224687 0.29815035 -0.4626528
## 154 0.7174727 0.29815035 2.1490969
## 155 -0.8224687 0.29815035 -0.4626528
## 156 0.7174727 0.29815035 -0.4626528
## 157 0.7174727 0.29815035 2.1490969
## 158 0.7174727 0.29815035 -0.4626528
## 159 0.7174727 0.29815035 -0.4626528
## 161 0.7174727 0.29815035 -0.4626528
## 163 0.7174727 0.29815035 -0.4626528
## 164 0.7174727 0.29815035 2.1490969
## 166 0.7174727 0.23172698 -0.4626528
## 167 0.7174727 0.29815035 -0.4626528
## 169 0.7174727 -4.55075553 -0.4626528
## 170 0.7174727 -4.55075553 -0.4626528
## 171 0.7174727 -4.55075553 -0.4626528
## 172 -3.9023517 -4.55075553 -0.4626528
## 173 -3.9023517 -4.55075553 -0.4626528
## 174 -3.9023517 -4.55075553 -0.4626528
## 175 -3.9023517 -4.55075553 -0.4626528
## 176 -3.9023517 -4.55075553 -0.4626528
## ManufacturingProcess41 ManufacturingProcess42 ManufacturingProcess43
## 3 -0.4405878 0.408810375 0.10146268
## 4 -0.4405878 -0.312240995 0.21667191
## 5 -0.4405878 -0.106226318 0.21667191
## 6 -0.4405878 0.151292029 1.48397347
## 7 -0.4405878 0.254299367 -0.24416502
## 8 -0.4405878 0.099788359 -0.12895579
## 13 -0.4405878 -0.054722649 -0.12895579
## 16 3.2752130 0.202795698 0.10146268
## 17 -0.4405878 0.151292029 0.21667191
## 19 -0.4405878 0.202795698 1.02313654
## 21 3.2752130 0.099788359 1.25355501
## 22 -0.4405878 0.357306706 -0.12895579
## 24 -0.4405878 0.099788359 0.21667191
## 25 -0.4405878 0.151292029 -0.24416502
## 26 -0.4405878 0.305803036 -0.12895579
## 27 -0.4405878 0.254299367 -0.24416502
## 28 -0.4405878 0.202795698 0.44709038
## 30 -0.4405878 0.202795698 -0.47458349
## 31 -0.4405878 0.254299367 -0.35937426
## 32 -0.4405878 0.202795698 -0.35937426
## 33 1.4173126 0.202795698 -0.24416502
## 34 1.4173126 0.202795698 -0.47458349
## 38 -0.4405878 -0.054722649 0.33188114
## 39 3.2752130 -0.106226318 0.67750884
## 40 -0.4405878 0.099788359 0.10146268
## 41 -0.4405878 -0.157729987 0.10146268
## 44 -0.4405878 -0.106226318 -0.24416502
## 45 -0.4405878 -0.363744664 -0.01374656
## 46 -0.4405878 -0.260737326 -0.24416502
## 47 -0.4405878 -0.054722649 0.21667191
## 48 1.4173126 0.202795698 0.56229961
## 49 -0.4405878 0.202795698 0.44709038
## 50 -0.4405878 0.202795698 -0.01374656
## 51 -0.4405878 0.099788359 1.82960117
## 52 3.2752130 0.099788359 0.10146268
## 53 -0.4405878 0.099788359 0.21667191
## 54 -0.4405878 0.202795698 0.33188114
## 55 -0.4405878 -0.003218979 -0.01374656
## 56 -0.4405878 -0.106226318 -0.01374656
## 57 3.2752130 -0.106226318 0.10146268
## 58 -0.4405878 0.048284690 -1.05062965
## 59 -0.4405878 0.305803036 11.62238598
## 61 1.4173126 0.202795698 -0.01374656
## 62 -0.4405878 0.254299367 -0.12895579
## 65 -0.4405878 0.202795698 -0.01374656
## 66 -0.4405878 0.254299367 0.56229961
## 67 -0.4405878 0.254299367 0.56229961
## 69 -0.4405878 0.357306706 0.33188114
## 70 1.4173126 0.357306706 0.90792731
## 72 -0.4405878 0.254299367 0.33188114
## 73 -0.4405878 0.151292029 0.33188114
## 74 1.4173126 0.254299367 -0.12895579
## 75 -0.4405878 0.305803036 -0.12895579
## 76 -0.4405878 0.202795698 0.44709038
## 79 -0.4405878 0.099788359 -0.12895579
## 82 -0.4405878 0.202795698 0.33188114
## 85 -0.4405878 0.202795698 0.79271808
## 86 -0.4405878 0.151292029 0.10146268
## 87 1.4173126 0.254299367 0.21667191
## 88 -0.4405878 0.254299367 0.21667191
## 91 1.4173126 0.202795698 -0.01374656
## 92 -0.4405878 0.202795698 0.21667191
## 93 -0.4405878 0.151292029 -0.01374656
## 94 -0.4405878 0.357306706 -0.01374656
## 95 1.4173126 0.305803036 -0.12895579
## 96 -0.4405878 0.202795698 -0.12895579
## 97 -0.4405878 0.202795698 -0.01374656
## 100 -0.4405878 0.151292029 -0.01374656
## 101 -0.4405878 0.151292029 -0.12895579
## 102 -0.4405878 0.202795698 0.21667191
## 103 -0.4405878 0.099788359 0.10146268
## 104 1.4173126 0.305803036 -0.35937426
## 106 -0.4405878 0.357306706 -0.12895579
## 112 -0.4405878 0.048284690 0.33188114
## 114 -0.4405878 0.099788359 0.21667191
## 115 -0.4405878 0.305803036 -0.47458349
## 117 -0.4405878 0.305803036 -0.24416502
## 118 1.4173126 0.254299367 -0.12895579
## 119 -0.4405878 0.202795698 -0.12895579
## 120 -0.4405878 0.357306706 -0.47458349
## 121 -0.4405878 0.202795698 -0.47458349
## 122 -0.4405878 0.305803036 -0.47458349
## 123 3.2752130 0.151292029 -0.47458349
## 125 -0.4405878 0.151292029 -0.35937426
## 126 -0.4405878 0.151292029 -0.24416502
## 127 -0.4405878 0.099788359 -0.35937426
## 128 1.4173126 0.099788359 -0.24416502
## 129 -0.4405878 0.254299367 -0.47458349
## 130 -0.4405878 0.099788359 -0.47458349
## 133 -0.4405878 0.357306706 -0.58979272
## 135 -0.4405878 0.305803036 -0.58979272
## 136 -0.4405878 0.254299367 -0.47458349
## 138 -0.4405878 0.305803036 -0.47458349
## 139 -0.4405878 0.254299367 -0.24416502
## 140 -0.4405878 0.305803036 -0.58979272
## 142 -0.4405878 0.254299367 -0.35937426
## 143 -0.4405878 0.254299367 -0.47458349
## 144 -0.4405878 0.305803036 -0.47458349
## 145 1.4173126 0.151292029 -0.47458349
## 146 -0.4405878 0.305803036 -0.47458349
## 148 -0.4405878 0.357306706 -0.35937426
## 149 1.4173126 0.357306706 -0.58979272
## 150 -0.4405878 0.408810375 -0.47458349
## 152 -0.4405878 0.202795698 -0.24416502
## 153 -0.4405878 0.048284690 -0.47458349
## 154 1.4173126 -0.260737326 -0.24416502
## 155 -0.4405878 0.048284690 -0.47458349
## 156 -0.4405878 -0.106226318 -0.58979272
## 157 3.2752130 -0.157729987 -0.47458349
## 158 -0.4405878 0.408810375 -0.47458349
## 159 -0.4405878 0.460314044 -0.70500195
## 161 -0.4405878 0.408810375 -0.70500195
## 163 -0.4405878 0.151292029 -0.35937426
## 164 1.4173126 0.305803036 -0.58979272
## 166 -0.4405878 0.099788359 -0.12895579
## 167 -0.4405878 0.099788359 -0.24416502
## 169 -0.4405878 0.305803036 -0.82021119
## 170 -0.4405878 0.202795698 -0.70500195
## 171 -0.4405878 0.254299367 -0.47458349
## 172 -0.4405878 -5.771629938 -0.35937426
## 173 -0.4405878 -5.771629938 -0.35937426
## 174 -0.4405878 -5.771629938 -0.35937426
## 175 -0.4405878 -5.771629938 -0.47458349
## 176 -0.4405878 -5.771629938 -0.35937426
## ManufacturingProcess44 ManufacturingProcess45
## 3 -0.01588055 0.39796046
## 4 -0.01588055 -0.09355562
## 5 -0.32643359 -0.09355562
## 6 -0.01588055 -0.33931365
## 7 0.60522552 0.15220242
## 8 0.60522552 0.15220242
## 13 0.29467248 0.64371849
## 16 0.29467248 0.88947653
## 17 0.29467248 0.39796046
## 19 -0.32643359 0.39796046
## 21 -0.63698662 -0.33931365
## 22 0.29467248 -0.09355562
## 24 0.60522552 -0.83082972
## 25 -0.32643359 0.64371849
## 26 -0.32643359 0.15220242
## 27 -0.32643359 -0.33931365
## 28 -0.32643359 0.15220242
## 30 0.29467248 0.15220242
## 31 0.60522552 0.64371849
## 32 0.60522552 -0.09355562
## 33 0.29467248 0.64371849
## 34 -0.01588055 0.39796046
## 38 -0.01588055 0.64371849
## 39 -0.01588055 0.64371849
## 40 0.29467248 0.39796046
## 41 0.29467248 0.15220242
## 44 -0.01588055 0.64371849
## 45 -0.01588055 -0.09355562
## 46 -0.01588055 0.39796046
## 47 -0.01588055 -0.09355562
## 48 -0.01588055 0.64371849
## 49 -0.01588055 -0.09355562
## 50 -0.01588055 -0.33931365
## 51 -0.01588055 -0.09355562
## 52 -0.01588055 0.15220242
## 53 0.60522552 0.39796046
## 54 0.29467248 0.15220242
## 55 0.29467248 -0.09355562
## 56 0.91577855 0.15220242
## 57 0.29467248 0.15220242
## 58 0.60522552 0.15220242
## 59 0.29467248 0.39796046
## 61 -0.01588055 0.15220242
## 62 -0.01588055 -0.09355562
## 65 0.60522552 0.39796046
## 66 0.29467248 -0.83082972
## 67 0.29467248 -0.83082972
## 69 -0.01588055 0.88947653
## 70 -0.01588055 0.39796046
## 72 -0.01588055 -0.58507169
## 73 -0.01588055 -0.83082972
## 74 0.60522552 0.39796046
## 75 0.60522552 -0.09355562
## 76 0.29467248 0.64371849
## 79 0.60522552 0.88947653
## 82 0.29467248 0.15220242
## 85 0.60522552 0.64371849
## 86 0.29467248 0.64371849
## 87 -0.01588055 -0.09355562
## 88 0.29467248 0.39796046
## 91 0.29467248 0.88947653
## 92 -0.01588055 0.15220242
## 93 -0.01588055 -0.33931365
## 94 0.29467248 0.88947653
## 95 0.29467248 0.39796046
## 96 0.29467248 0.15220242
## 97 0.60522552 -0.09355562
## 100 0.29467248 0.39796046
## 101 0.29467248 0.39796046
## 102 -0.01588055 0.39796046
## 103 -0.01588055 0.64371849
## 104 0.29467248 -0.09355562
## 106 0.29467248 0.39796046
## 112 0.29467248 0.39796046
## 114 -0.01588055 0.39796046
## 115 0.29467248 0.39796046
## 117 0.29467248 0.15220242
## 118 0.29467248 -0.33931365
## 119 -0.32643359 0.64371849
## 120 0.29467248 0.15220242
## 121 -0.32643359 -0.58507169
## 122 -0.01588055 -0.09355562
## 123 0.29467248 0.15220242
## 125 0.29467248 0.15220242
## 126 0.29467248 -0.09355562
## 127 0.29467248 0.15220242
## 128 0.29467248 -0.33931365
## 129 0.60522552 0.15220242
## 130 0.29467248 0.39796046
## 133 0.60522552 0.39796046
## 135 0.29467248 0.64371849
## 136 -0.01588055 0.64371849
## 138 -0.01588055 -0.09355562
## 139 0.29467248 0.39796046
## 140 -0.01588055 0.64371849
## 142 -0.01588055 0.39796046
## 143 -0.01588055 0.39796046
## 144 0.29467248 0.39796046
## 145 0.29467248 0.15220242
## 146 0.29467248 -0.83082972
## 148 -0.01588055 -0.09355562
## 149 -0.32643359 -0.83082972
## 150 -0.01588055 -0.58507169
## 152 0.29467248 -0.58507169
## 153 0.29467248 -0.09355562
## 154 -0.01588055 -0.09355562
## 155 -0.01588055 -0.83082972
## 156 0.29467248 0.39796046
## 157 0.29467248 0.39796046
## 158 -0.01588055 0.39796046
## 159 -0.01588055 0.39796046
## 161 -0.01588055 0.39796046
## 163 -0.01588055 0.15220242
## 164 -0.01588055 0.64371849
## 166 -0.32643359 0.15220242
## 167 -0.01588055 0.64371849
## 169 -0.01588055 0.15220242
## 170 -0.01588055 0.88947653
## 171 -0.01588055 0.15220242
## 172 -5.60583519 -5.25447437
## 173 -5.60583519 -5.25447437
## 174 -5.60583519 -5.25447437
## 175 -5.60583519 -5.25447437
## 176 -5.60583519 -5.25447437## Yield BiologicalMaterial01 BiologicalMaterial02 BiologicalMaterial03
## 1 -1.17926733 -0.22610360 -1.51409789 -2.68303622
## 2 1.22636783 2.23914983 1.30899603 -0.05623504
## 9 0.71164860 0.74038780 1.96086056 1.08846043
## 10 1.23178593 0.74038780 1.96086056 1.08846043
## 11 1.00964394 1.06255161 1.37343891 0.57609674
## 12 1.35640216 1.06255161 1.37343891 0.57609674
## 14 0.05605884 1.70687921 1.19498170 0.38364794
## 15 0.71706669 -0.25411784 1.79479621 0.50861469
## 18 -0.01979453 1.72088633 0.92977446 -0.12121775
## 20 -0.35029845 1.53879374 1.00413163 -0.10622174
## 23 0.28361892 0.23613142 0.66704579 -0.13371443
## 29 -0.89752627 0.36219552 1.92120340 2.30813595
## 35 -0.28528129 0.83843766 1.39078892 1.25091721
## 36 0.37572657 -0.15606799 0.33491709 0.58109541
## 37 1.23720403 -1.52876592 0.85541729 0.83602759
## 42 1.02589823 0.48825961 -0.06661163 0.52361070
## 43 2.26122440 0.48825961 -0.06661163 0.52361070
## 60 0.16983888 0.43223113 0.38448854 0.89101296
## 63 -0.80000052 -0.35216769 -0.25250456 -0.18869980
## 64 -0.66996619 -0.35216769 -0.25250456 -0.18869980
## 68 0.90670010 -0.14206087 -0.31446887 -0.39364528
## 71 -0.55076805 -0.19808935 -0.54001895 -0.29617121
## 77 -0.78374623 -0.08603238 0.30765279 0.79103955
## 78 -0.66454809 -0.33816057 -0.46814036 -0.54360538
## 80 -0.14982886 0.78240917 0.61747434 1.03597439
## 81 -0.20942793 0.78240917 0.61747434 1.03597439
## 83 0.44616183 0.54428810 0.37705282 0.65857480
## 84 0.76582957 0.54428810 0.37705282 0.65857480
## 89 0.32154560 0.05403884 -0.14840452 0.36865193
## 90 -0.49116898 0.05403884 -0.14840452 0.36865193
## 98 0.34321799 -0.60429588 -0.39378318 -0.30116988
## 99 -1.21177591 -0.78638847 -0.97624769 -0.92100498
## 105 -0.85418149 -0.71635286 -1.05308343 -1.02347772
## 107 -0.40989752 -0.87043120 -0.42848320 -0.29367187
## 108 -0.23110032 -0.87043120 -0.42848320 -0.29367187
## 109 -0.36113465 -0.87043120 -0.42848320 -0.29367187
## 110 -0.98963392 -0.66032437 -1.09521916 -1.04097306
## 111 0.11023981 -0.01599677 0.75379582 0.95099700
## 113 -0.11732028 -0.01599677 0.75379582 0.95099700
## 116 1.06924301 -0.36617481 -0.65155471 0.64607812
## 124 1.75734136 -0.46422467 -0.69369044 -0.24618451
## 131 0.38656276 -0.21209647 0.06227413 0.37864927
## 132 0.34863608 -0.21209647 0.06227413 0.37864927
## 134 -1.15217684 0.43223113 -0.45574749 -0.15120977
## 137 -1.50977126 -1.72486562 -1.75699798 -1.66580684
## 141 -0.82167291 -0.81440271 -1.36786212 -1.14844447
## 147 -0.04146691 -0.57628164 -0.59454755 -0.55110339
## 151 0.42448944 -1.22060924 -0.84240478 -0.77354421
## 160 -1.25512069 -0.99649529 -0.72343331 -0.36365326
## 162 -0.82167291 -0.61830301 -0.63420470 -0.28117520
## 165 -0.95170724 -1.59880153 -0.80274762 -0.90350963
## 168 -0.59411283 -2.56529293 -1.51905504 -1.65580949
## BiologicalMaterial04 BiologicalMaterial05 BiologicalMaterial06
## 1 0.22017653 0.49419417 -1.382887987
## 2 1.29643860 0.41285548 1.129076662
## 9 1.88810100 0.44539096 1.550851810
## 10 1.88810100 0.44539096 1.550851810
## 11 0.56953909 0.03869750 1.046323310
## 12 0.56953909 0.03869750 1.046323310
## 14 2.95309331 1.12321339 1.046323310
## 15 -0.30950218 1.05271986 1.510809866
## 18 1.87119636 1.57328749 0.830096810
## 20 1.89937076 1.73596487 0.904841773
## 23 -0.07283723 -0.07517667 0.677937421
## 29 1.08794804 1.66547134 2.538553107
## 35 0.49628565 3.38985161 1.596232681
## 36 -0.36585098 -0.30292501 0.424338439
## 37 0.37795317 1.39434236 0.979586736
## 42 -0.61942058 -0.24327663 0.261501199
## 43 -0.61942058 -0.24327663 0.261501199
## 60 -0.05593259 -1.09462161 0.525778032
## 63 -0.67576938 -0.73130878 -0.210993746
## 64 -0.67576938 -0.73130878 -0.210993746
## 68 -0.21370923 -0.10771215 -0.240357839
## 71 -0.29259755 -0.89398617 -0.611413191
## 77 -0.04466283 -0.29207985 0.269509588
## 78 0.19763701 0.02785234 -0.331119579
## 80 1.07104340 -0.82349264 0.306882069
## 81 1.07104340 -0.82349264 0.306882069
## 83 0.91890165 -0.96990228 -0.120232005
## 84 0.91890165 -0.96990228 -0.120232005
## 89 -0.20807435 -0.74757652 -0.477940042
## 90 -0.20807435 -0.74757652 -0.477940042
## 98 -0.34894634 0.10919103 -0.248366227
## 99 -1.09275050 0.97680375 -1.230728598
## 105 -1.04767146 -0.30292501 -1.115941691
## 107 -1.09838538 -0.18362826 -0.357814209
## 108 -1.09838538 -0.18362826 -0.357814209
## 109 -1.09838538 -0.18362826 -0.357814209
## 110 -1.05330634 -0.47644755 -1.196025580
## 111 -0.03339307 -0.81807006 0.456371995
## 113 -0.03339307 -0.81807006 0.456371995
## 116 -0.27005803 -1.08919903 0.282856902
## 124 -0.63069034 0.25017810 -0.432559172
## 131 -0.15736043 -0.28123469 0.002563291
## 132 -0.15736043 -0.28123469 0.002563291
## 134 0.08493941 -1.32779253 -0.544676616
## 137 -1.67314313 -1.24645383 -1.369540672
## 141 -1.14346442 -0.73673136 -1.228059135
## 147 -0.36021610 0.10919103 -0.686158154
## 151 -1.14346442 -0.04264119 -0.840987005
## 160 -1.04203658 -1.85378273 -0.491287357
## 162 -0.76029258 -1.11088935 -0.571371246
## 165 -0.85045066 -0.27038953 -0.771580968
## 168 -1.41393866 0.04412008 -1.436277246
## BiologicalMaterial08 BiologicalMaterial09 BiologicalMaterial10
## 1 -1.23313130 -3.39628945 1.10052962
## 2 2.28261904 -0.72272251 1.10052962
## 9 2.00194989 0.67427643 1.75145899
## 10 2.00194989 0.67427643 1.75145899
## 11 0.56906005 -0.55411919 0.16586181
## 12 0.56906005 -0.55411919 0.16586181
## 14 1.83945723 0.86696594 3.57072312
## 15 2.06103814 -0.07239542 -0.83556799
## 18 1.80991311 0.02394934 2.26886438
## 20 1.94286165 0.31298360 2.40238836
## 23 1.07131010 -0.04830923 -0.18463862
## 29 -0.03659442 0.65019024 0.49967174
## 35 -0.16954296 -0.91541202 -0.06780514
## 36 -0.33203563 -0.14465399 -0.65197252
## 37 -0.81951362 -1.27670485 -0.56852004
## 42 0.17021442 1.32460352 -0.38492458
## 43 0.17021442 1.32460352 -0.38492458
## 60 1.01222186 1.80632730 -0.08449564
## 63 0.70200859 0.65019024 -0.53513905
## 64 0.70200859 0.65019024 -0.53513905
## 68 0.46565563 -0.24099874 -0.06780514
## 71 0.39179533 1.10782782 0.11579032
## 77 0.39179533 1.05965545 -0.31816259
## 78 -0.99677834 -1.78251481 -0.36823408
## 80 0.77586889 1.58955160 0.95031515
## 81 0.77586889 1.58955160 0.95031515
## 83 0.61337623 1.18008639 0.95031515
## 84 0.61337623 1.18008639 0.95031515
## 89 0.36225121 1.49320684 0.09909982
## 90 0.36225121 1.49320684 0.09909982
## 98 -0.21385915 -0.24099874 -0.48506756
## 99 -0.78996950 -0.40960206 -0.76880600
## 105 -0.46498417 0.24072503 -0.56852004
## 107 -0.37635181 0.33706979 -1.06923494
## 108 -0.37635181 0.33706979 -1.06923494
## 109 -0.37635181 0.33706979 -1.06923494
## 110 -0.53884447 0.36115598 -0.46837706
## 111 -0.08091060 0.60201786 -0.36823408
## 113 -0.08091060 0.60201786 -0.36823408
## 116 -1.05586658 -0.53003300 -0.81887749
## 124 -0.68656507 0.26481122 -0.51844855
## 131 0.09635412 0.69836262 -0.33485309
## 132 0.09635412 0.69836262 -0.33485309
## 134 0.17021442 0.72244881 0.36614777
## 137 -2.38535200 -1.66208387 -1.55325934
## 141 -0.93769010 0.07212171 -0.70204401
## 147 -0.25817533 -0.24099874 -0.28478160
## 151 -0.65702095 -0.07239542 -1.01916345
## 160 -1.21835924 -0.02422304 -1.05254444
## 162 -0.77519744 0.36115598 -0.66866302
## 165 -1.69106517 -1.51756674 -1.72016431
## 168 -1.97173432 -1.71025625 -1.35297338
## BiologicalMaterial11 BiologicalMaterial12 ManufacturingProcess01
## 1 -1.83865496 -1.77092243 0.215410484
## 2 1.39339475 1.09898554 -6.149702798
## 9 1.50334253 1.61608607 0.434897149
## 10 1.50334253 1.61608607 0.434897149
## 11 -0.76199655 0.01307442 -0.497921177
## 12 -0.76199655 0.01307442 -0.497921177
## 14 2.37877576 2.02976650 -0.058947847
## 15 1.21913790 2.55979455 0.050795485
## 18 1.98254887 1.64194110 0.654383814
## 20 2.36632885 2.09440407 0.818998812
## 23 0.31881083 1.33168078 -0.058947847
## 29 2.42856344 2.17196915 -1.101509505
## 35 0.52003601 0.28455220 0.215410484
## 36 -0.27656675 -0.02570812 0.709255480
## 37 -0.44667463 -0.21962082 0.380025483
## 42 0.94323122 0.87921781 -0.223562846
## 43 0.94323122 0.87921781 -0.223562846
## 60 0.88722009 1.42217337 -1.046637839
## 63 0.43083309 0.87921781 -1.156381172
## 64 0.43083309 0.87921781 -1.156381172
## 68 0.04497864 0.27162468 0.434897149
## 71 -0.68524055 0.19405960 -0.552792843
## 77 0.64450519 0.58188500 0.160538818
## 78 -0.89061470 -0.72379384 0.105667152
## 80 0.40801374 0.16820458 -0.113819513
## 81 0.40801374 0.16820458 -0.113819513
## 83 -0.05874568 -0.32304093 -0.004076181
## 84 -0.05874568 -0.32304093 -0.004076181
## 89 0.21716100 -0.20669331 -0.223562846
## 90 0.21716100 -0.20669331 -0.223562846
## 98 0.20678857 0.06478447 -0.333306178
## 99 -0.75162412 -0.73672136 0.160538818
## 105 -0.64582531 -0.45231606 0.325153816
## 107 -0.06496914 0.47846490 -0.772279508
## 108 -0.06496914 0.47846490 -0.772279508
## 109 -0.06496914 0.47846490 -0.772279508
## 110 -0.78066693 -0.65915628 0.270282150
## 111 0.14662847 0.06478447 0.105667152
## 113 0.14662847 0.06478447 0.105667152
## 116 -0.45704706 -0.33596844 0.599512147
## 124 0.07817042 -0.20669331 -0.004076181
## 131 0.32710878 0.32333474 0.544640481
## 132 0.32710878 0.32333474 0.544640481
## 134 -0.23922599 -0.82721395 -0.168691180
## 137 -1.82828253 -1.29260443 0.050795485
## 141 -0.66449569 -0.78843141 -0.552792843
## 147 -0.32842891 -0.58159120 0.818998812
## 151 -0.28279021 -0.23254834 1.148228810
## 160 -0.53172857 -0.34889596 0.489768815
## 162 -0.39896144 -0.41353352 0.489768815
## 165 -0.69768747 -0.69793882 0.105667152
## 168 -1.51710958 -1.80970497 0.215410484
## ManufacturingProcess02 ManufacturingProcess03 ManufacturingProcess04
## 1 0.5662872 0.37658102 0.56555981
## 2 -1.9692525 0.19799621 -2.36697255
## 9 -1.9692525 0.91233547 -0.61382820
## 10 -1.9692525 0.46587343 0.97993939
## 11 -1.9692525 0.46587343 0.02367883
## 12 -1.9692525 0.46587343 -0.29507469
## 14 -1.9692525 2.25172158 0.34243235
## 15 -1.9692525 0.46587343 -0.29507469
## 18 -1.9692525 0.91233547 -0.29507469
## 20 -1.9692525 1.00162787 -0.45445144
## 23 -1.9692525 -0.06988101 0.82056263
## 29 -1.9692525 -0.87351268 -1.25133524
## 35 -1.9692525 -0.42705064 -1.09195848
## 36 -1.9692525 -0.42705064 -0.29507469
## 37 0.3561726 -0.42705064 -0.93258172
## 42 0.6866899 -2.65936083 0.66118587
## 43 0.4506061 -0.42705064 -1.41071200
## 60 0.3915852 1.35879750 -0.61382820
## 63 0.3325642 -1.31997472 -1.41071200
## 64 0.3325642 -2.21289879 -0.61382820
## 68 0.3325642 -2.65936083 -1.41071200
## 71 0.2735433 -2.65936083 -1.72946552
## 77 0.6866899 0.46587343 0.02367883
## 78 0.5686480 0.46587343 0.02367883
## 80 0.6276689 -0.87351268 -0.13569793
## 81 0.6276689 -0.42705064 0.50180911
## 83 0.4506061 0.46587343 0.34243235
## 84 0.5096271 0.46587343 1.13931615
## 89 0.5686480 0.01941139 0.82056263
## 90 0.5686480 0.46587343 0.50180911
## 98 0.4978229 0.46587343 0.18305559
## 99 0.6276689 0.01941139 0.34243235
## 105 0.6040606 0.46587343 0.66118587
## 107 0.6276689 0.01941139 0.02367883
## 108 0.6158648 -1.76643675 0.34243235
## 109 0.6748857 -2.65936083 0.82056263
## 110 0.6276689 -0.87351268 1.29869290
## 111 0.4506061 1.35879750 -0.45445144
## 113 0.6630815 -0.42705064 0.66118587
## 116 0.5214313 0.01941139 0.34243235
## 124 0.4860187 0.46587343 0.50180911
## 131 0.5568438 0.46587343 0.66118587
## 132 0.5686480 0.01941139 1.13931615
## 134 0.5592047 0.46587343 0.34243235
## 137 0.5450396 0.46587343 0.66118587
## 141 0.5332354 0.01941139 0.34243235
## 147 0.5804522 0.46587343 1.45806966
## 151 0.5214313 0.01941139 0.66118587
## 160 0.5450396 0.46587343 0.66118587
## 162 0.5214313 0.01941139 0.97993939
## 165 0.5332354 0.46587343 0.18305559
## 168 0.3915852 0.46587343 -0.61382820
## ManufacturingProcess05 ManufacturingProcess06 ManufacturingProcess07
## 1 -0.44593467 -0.54149966 -0.1596700
## 2 0.99933318 0.96253831 -0.9580199
## 9 0.05918841 0.48094980 -0.9580199
## 10 0.06901570 0.88844777 -0.9580199
## 11 -0.60906781 0.74026669 -0.9580199
## 12 -0.31752465 0.74026669 1.0378549
## 14 1.15001840 0.62913088 1.0378549
## 15 3.89838586 0.14754237 -0.9580199
## 18 0.64555048 0.36981399 -0.9580199
## 20 5.68695396 -1.22313263 -0.9580199
## 23 -0.13080601 0.81435723 -0.9580199
## 29 -0.48458871 -0.37109141 -0.9580199
## 35 0.28194048 0.62913088 -0.9580199
## 36 0.02315498 0.03640656 -0.9580199
## 37 0.58658669 -0.37109141 1.0378549
## 42 -1.53938528 1.40708156 -0.9580199
## 43 -1.56231564 0.96253831 1.0378549
## 60 -0.60579204 0.22163291 -0.9580199
## 63 -0.59924051 -0.44518195 1.0378549
## 64 0.09194606 -0.22291033 -0.9580199
## 68 -0.25200934 -0.22291033 1.0378549
## 71 -1.04802042 0.14754237 -0.9580199
## 77 -0.77613186 0.74026669 1.0378549
## 78 -0.70406501 -0.63040830 -0.9580199
## 80 -0.36666114 -0.11177452 1.0378549
## 81 -0.61561934 -0.29700087 -0.9580199
## 83 -0.02925727 -0.81563466 1.0378549
## 84 5.55264757 -0.37109141 -0.9580199
## 89 -1.35266663 -0.96381574 -0.9580199
## 90 -1.53610951 -0.61559020 1.0378549
## 98 -0.01287844 -0.81563466 -0.9580199
## 99 0.08539453 -0.88972520 -0.9580199
## 105 -0.45183105 -0.70449885 -0.9580199
## 107 -0.30769736 0.36981399 -0.9580199
## 108 -0.45183105 0.55504034 1.0378549
## 109 -0.24218204 1.48117210 -0.9580199
## 110 -0.70078925 -0.81563466 1.0378549
## 111 -0.84164717 -0.96381574 1.0378549
## 113 -0.60579204 2.33321331 1.0378549
## 116 -0.71061654 -0.37109141 1.0378549
## 124 -0.22907898 -0.03768398 1.0378549
## 131 -0.35683384 0.29572345 -0.9580199
## 132 -0.08166952 -0.37109141 1.0378549
## 134 -0.05218763 0.48094980 -0.9580199
## 137 -0.10132411 -0.44518195 1.0378549
## 141 -0.38959150 -0.22291033 -0.9580199
## 147 0.35400732 -0.29700087 -0.9580199
## 151 0.67503237 -0.37109141 1.0378549
## 160 0.06901570 -0.44518195 -0.9580199
## 162 0.43917723 0.03640656 1.0378549
## 165 0.89450867 -0.55631776 1.0378549
## 168 0.04936111 -0.29700087 -0.9580199
## ManufacturingProcess08 ManufacturingProcess09 ManufacturingProcess10
## 1 -0.3095182 -1.72015237 -0.07700901
## 2 0.8941637 0.58837456 0.52297397
## 9 -1.1119728 0.99576166 0.67949127
## 10 -1.1119728 0.93756350 1.20121560
## 11 -1.1119728 0.37498131 -0.23352631
## 12 0.8941637 0.28445084 -0.49438848
## 14 0.8941637 -0.24579904 0.54906019
## 15 -1.1119728 0.50431055 0.28819802
## 18 -1.1119728 0.04519175 0.41862910
## 20 -1.1119728 -0.41392705 -0.36395739
## 23 -1.1119728 0.49784409 0.70557749
## 29 -1.1119728 -1.93354561 -2.18999255
## 35 -1.1119728 -0.57558860 0.28819802
## 36 -1.1119728 0.64010625 0.67949127
## 37 0.8941637 0.32971608 0.28819802
## 42 -1.1119728 0.18745391 2.50552643
## 43 -1.1119728 0.64657272 -1.40740605
## 60 0.8941637 0.41378008 0.28819802
## 63 0.8941637 0.23271915 1.33164668
## 64 -1.1119728 1.62300847 0.54906019
## 68 0.8941637 0.21978622 0.67949127
## 71 0.8941637 -1.16403664 -1.01611281
## 77 0.8941637 -0.05827164 0.80992235
## 78 -1.1119728 -0.47859167 -0.62481956
## 80 -1.1119728 0.29738377 -1.01611281
## 81 0.8941637 -0.71785076 -1.27697497
## 83 0.8941637 -0.43332644 -0.10309523
## 84 0.8941637 -0.01300641 -0.36395739
## 89 0.8941637 -1.38389635 -1.40740605
## 90 0.8941637 -1.38389635 -1.01611281
## 98 -1.1119728 -0.33632951 -0.10309523
## 99 0.8941637 -1.24810064 2.89681968
## 105 -1.1119728 -0.62085383 0.15776694
## 107 -1.1119728 -0.03240579 -0.23352631
## 108 0.8941637 0.21331976 0.28819802
## 109 -1.1119728 0.22625269 -0.23352631
## 110 0.8941637 -1.23516772 0.54906019
## 111 -1.1119728 -1.23516772 0.41862910
## 113 0.8941637 -1.17696956 -1.40740605
## 116 0.8941637 -1.64255483 -1.14654389
## 124 0.8941637 0.83410011 -0.36395739
## 131 -1.1119728 -0.27813135 -0.36395739
## 132 0.8941637 0.04519175 -1.66826822
## 134 0.8941637 0.90523119 -0.62481956
## 137 0.8941637 0.25858500 0.15776694
## 141 0.8941637 0.56250871 -0.75525064
## 147 -1.1119728 0.51724348 -0.10309523
## 151 0.8941637 0.38791424 0.15776694
## 160 -1.1119728 -1.01530801 -1.92913039
## 162 0.8941637 -0.09707041 -0.49438848
## 165 -1.1119728 1.31908476 1.72293993
## 168 -1.1119728 0.04519175 0.67949127
## ManufacturingProcess11 ManufacturingProcess12 ManufacturingProcess13
## 1 -0.09157342 -0.4806937 0.977115122
## 2 1.08204765 -0.4806937 -0.500309805
## 9 2.39538550 -0.4806937 -0.598804800
## 10 1.13793436 -0.4806937 -0.204824819
## 11 0.15991681 -0.4806937 1.272600107
## 12 0.43935040 -0.4806937 1.075610117
## 14 0.57906719 -0.4806937 0.386145151
## 15 1.13793436 -0.4806937 0.780125132
## 18 1.69680153 -0.4806937 0.977115122
## 20 0.71878398 -0.4806937 1.075610117
## 23 -0.59455387 -0.4806937 -1.583754751
## 29 -2.35498546 -0.4806937 4.030459970
## 35 -0.11951677 -0.4806937 0.090660166
## 36 0.85850078 2.0684394 -0.598804800
## 37 1.13793436 2.0684394 -1.091279775
## 42 1.55708474 2.0684394 -1.682249746
## 43 -0.67838395 2.0684394 -1.189774771
## 60 -0.39895036 2.0684394 0.090660166
## 63 -0.95781753 2.0684394 -0.401814810
## 64 1.13793436 2.0684394 -0.598804800
## 68 0.29963360 2.0684394 -0.303319814
## 71 -1.51668471 -0.4806937 0.977115122
## 77 -0.11951677 -0.4806937 -0.303319814
## 78 -0.39895036 -0.4806937 0.583135142
## 80 -0.11951677 -0.4806937 0.681630137
## 81 -1.37696791 -0.4806937 0.681630137
## 83 -1.23725112 -0.4806937 0.189155161
## 84 -0.39895036 -0.4806937 0.583135142
## 89 -1.51668471 -0.4806937 1.272600107
## 90 -1.51668471 -0.4806937 1.075610117
## 98 -0.37100700 -0.4806937 0.583135142
## 99 -0.95781753 -0.4806937 -0.204824819
## 105 -0.39895036 -0.4806937 0.681630137
## 107 -0.67838395 -0.4806937 0.583135142
## 108 -0.11951677 -0.4806937 0.189155161
## 109 -0.67838395 -0.4806937 0.484640146
## 110 0.02020002 -0.4806937 0.583135142
## 111 -2.07555188 -0.4806937 0.681630137
## 113 -0.95781753 -0.4806937 1.174105112
## 116 -1.51668471 -0.4806937 0.681630137
## 124 0.57906719 -0.4806937 -0.204824819
## 131 -1.65640150 -0.4806937 -0.106329824
## 132 -0.81810074 -0.4806937 0.090660166
## 134 0.02020002 -0.4806937 -0.007834829
## 137 -0.11951677 -0.4806937 -0.106329824
## 141 -0.11951677 -0.4806937 0.386145151
## 147 0.29963360 -0.4806937 -0.106329824
## 151 0.99821757 -0.4806937 -0.303319814
## 160 -1.79611829 -0.4806937 0.780125132
## 162 -0.25923357 -0.4806937 -0.007834829
## 165 1.27765116 -0.4806937 -0.992784780
## 168 0.85850078 -0.4806937 -0.106329824
## ManufacturingProcess14 ManufacturingProcess15 ManufacturingProcess16
## 1 0.809399878 1.18464382 0.330394508
## 2 0.277520507 0.96170707 0.145576496
## 9 0.717696538 1.80200714 0.262154011
## 10 -0.144314856 0.65302541 0.137046434
## 11 1.653070604 2.00779491 0.353141341
## 12 1.928180623 2.38507250 0.404321713
## 14 0.515949191 1.18464382 0.253623949
## 15 1.176213237 2.00779491 0.353141341
## 18 0.827740546 1.44187854 0.358828049
## 20 1.964861959 2.41937046 0.594826434
## 23 -0.716543696 -0.63314818 -12.982189108
## 29 3.688884747 2.98528684 0.421381838
## 35 -0.034270848 0.13855597 0.813764695
## 36 -0.180996192 0.31004578 -0.010807976
## 37 0.002410488 0.20715190 0.083022707
## 42 -2.583623694 -2.31374833 -0.280926610
## 43 1.469663924 1.21894178 0.196756869
## 60 -0.749556899 -1.40485233 -0.212686113
## 63 -1.501524285 -1.40485233 -0.204156051
## 64 -0.474446879 -0.49595633 -0.044928225
## 68 -0.657853559 -0.34161550 0.048902458
## 71 0.791059210 0.06996005 0.051745812
## 77 -1.079688922 -0.82178697 -0.130228846
## 78 0.644333866 0.85881318 0.151263204
## 80 0.827740546 0.37864171 0.017625564
## 81 0.791059210 0.15570495 0.017625564
## 83 -0.456106211 -0.70174410 -0.044928225
## 84 -0.015930180 -0.29016856 0.046059104
## 89 0.717696538 -0.18727467 -0.005121268
## 90 0.222498503 -0.58170123 -0.044928225
## 98 -0.364402871 -0.29016856 -0.016494685
## 99 -2.803711710 -2.14225852 0.037529042
## 105 -0.694534895 -0.95897882 0.037529042
## 107 -0.199336860 -0.39306244 -0.005121268
## 108 -0.859600906 -1.23336252 -0.084735181
## 109 -0.272699532 -0.44450939 -0.013651330
## 110 -1.116370258 -1.47344825 -0.044928225
## 111 -1.299776937 -1.83357686 -0.229746238
## 113 0.772718542 0.19000292 -0.019338039
## 116 0.479267855 -0.13582773 0.003408794
## 124 0.442586519 0.56728050 0.137046434
## 131 0.204157835 -0.08438078 -0.010807976
## 132 1.763114612 1.78485816 0.282057490
## 134 0.387564515 0.29289680 0.085866061
## 137 -0.382743539 -0.59885022 0.065962583
## 141 0.534289859 0.05281107 0.162636620
## 147 0.075773160 0.12140699 0.151263204
## 151 -0.199336860 -0.30731754 0.088709415
## 160 1.286257245 0.19000292 0.088709415
## 162 0.039091824 -0.29016856 0.037529042
## 165 -1.905018980 -1.49059723 -0.141602262
## 168 -0.712875563 -0.49595633 0.148419850
## ManufacturingProcess17 ManufacturingProcess18 ManufacturingProcess19
## 1 0.92632958 0.150534784 0.45637976
## 2 -0.27539528 0.155977291 1.50950629
## 9 -0.35551027 -0.110705532 0.10533758
## 10 0.76609959 0.082503452 1.37786547
## 11 1.16667455 0.245778650 2.14577023
## 12 0.68598460 0.185911077 2.32129132
## 14 1.16667455 0.131486011 0.91712262
## 15 0.76609959 0.106994732 1.42174574
## 18 0.92632958 0.003587107 0.28085867
## 20 1.00644457 0.161419798 1.44368588
## 23 1.72747948 0.251221156 2.01412942
## 29 2.68885936 0.409053847 2.07994982
## 35 0.04506468 0.139649771 0.98294302
## 36 -0.99643019 0.030799640 0.10533758
## 37 -1.71746510 -0.042674199 -0.79420799
## 42 -1.23677516 -0.162409344 -2.22031683
## 43 -1.47712013 0.172304811 0.65384098
## 60 0.68598460 0.066175932 -0.99166922
## 63 0.84621459 0.204959850 0.80742194
## 64 -0.35551027 -0.127033051 -1.73763384
## 68 -0.11516530 0.055290919 0.06145731
## 71 0.92632958 0.264827423 0.78548180
## 77 -0.11516530 0.093388465 0.06145731
## 78 0.12517967 0.128764758 0.76354166
## 80 -0.43562526 0.009029613 -1.12331003
## 81 0.36552464 0.194074837 0.67578112
## 83 0.28540965 0.188632330 0.25891854
## 84 0.36552464 0.044405906 -0.70644745
## 89 0.92632958 0.188632330 -0.04824337
## 90 1.00644457 0.226729877 0.39055935
## 98 0.36552464 0.134207265 0.03951718
## 99 1.08655956 0.275712436 2.10188996
## 105 0.68598460 0.066175932 -0.68450731
## 107 0.60586961 0.109715985 -0.26764473
## 108 0.28540965 0.025357133 -0.68450731
## 109 0.52575462 0.126043505 0.08339745
## 110 0.84621459 -0.004576653 -1.23301071
## 111 1.08655956 0.341022515 1.68502738
## 113 0.52575462 0.106994732 -0.39928554
## 116 0.68598460 0.183189824 0.14921786
## 124 -0.91631520 0.003587107 -0.22376446
## 131 0.04506468 0.316531235 2.05800969
## 132 -0.59585524 0.202238597 1.22428452
## 134 -0.75608522 0.030799640 -0.55286650
## 137 -0.27539528 0.058012172 -0.50898622
## 141 -0.35551027 0.044405906 -0.68450731
## 147 -0.67597023 0.009029613 -0.53092636
## 151 -0.91631520 -0.080771745 -1.25495085
## 160 0.36552464 0.237614890 -0.13600391
## 162 -0.19528029 0.028078386 -0.86002840
## 165 -0.67597023 -0.121590545 -1.58405289
## 168 0.04506468 -0.064444226 -0.92584881
## ManufacturingProcess20 ManufacturingProcess21 ManufacturingProcess22
## 1 0.310994213 0.21098038 0.05833309
## 2 0.184922958 0.21098038 -0.72230090
## 9 -0.001318669 0.21098038 -0.72230090
## 10 0.164866168 1.49584360 -0.42205706
## 11 0.310994213 0.21098038 0.17843063
## 12 0.333916260 -0.30296491 0.47867447
## 14 0.204979749 1.36735728 1.37940600
## 15 0.256554353 0.21098038 1.67964985
## 18 0.227901795 0.21098038 -1.02254475
## 20 0.382625609 0.21098038 -0.42205706
## 23 0.184922958 4.83648797 0.47867447
## 29 0.236497563 -0.94539652 -0.42205706
## 35 0.580328259 -0.04599226 -0.72230090
## 36 -0.027105971 -0.81691019 -1.32278859
## 37 -0.012779692 -1.33085548 -0.72230090
## 42 -0.170368761 0.21098038 -1.32278859
## 43 0.119022075 -0.81691019 -1.02254475
## 60 -0.121659413 0.98189831 1.07916216
## 63 0.041660168 1.88130256 1.97989369
## 64 -0.133120436 0.21098038 -1.32278859
## 68 0.133348354 0.21098038 0.17843063
## 71 0.113291563 0.21098038 -0.72230090
## 77 0.064582215 0.21098038 1.37940600
## 78 0.107561052 -0.55993755 1.67964985
## 80 -0.118794157 -1.58782812 -1.02254475
## 81 0.078908494 -0.30296491 -0.72230090
## 83 0.047390680 0.21098038 0.17843063
## 84 0.021603378 -0.17447858 -1.32278859
## 89 -0.001318669 -0.17447858 0.47867447
## 90 0.035929657 0.21098038 0.77891831
## 98 0.033064401 -0.17447858 0.17843063
## 99 0.425604446 2.00978889 -1.02254475
## 105 0.076043238 0.21098038 0.77891831
## 107 0.035929657 0.21098038 1.37940600
## 108 -0.035701738 0.21098038 1.67964985
## 109 0.041660168 0.21098038 1.97989369
## 110 -0.015644948 0.59643935 -1.32278859
## 111 0.130483098 0.85341199 -0.72230090
## 113 -0.058623785 -0.68842387 -0.12181322
## 116 0.038794912 0.21098038 0.77891831
## 124 0.030199145 -1.20236916 0.77891831
## 131 0.247958586 0.21098038 -0.72230090
## 132 0.167731423 -1.07388284 -0.42205706
## 134 -0.018510204 -1.20236916 -1.02254475
## 137 0.127617842 -0.30296491 -0.12181322
## 141 0.096100028 -1.07388284 1.37940600
## 147 0.096100028 -0.94539652 -0.42205706
## 151 -0.009914436 -1.07388284 1.07916216
## 160 0.084639005 -0.43145123 1.67964985
## 162 -0.035701738 -0.30296491 -1.02254475
## 165 -0.104467878 0.21098038 -1.02254475
## 168 0.096100028 0.21098038 -0.12181322
## ManufacturingProcess23 ManufacturingProcess24 ManufacturingProcess25
## 1 0.83176879 0.89072909 0.120018290
## 2 -1.81476827 -1.00601151 0.109308243
## 9 -0.01031118 -1.00601151 0.037015426
## 10 -1.21328258 -0.83358055 0.173568525
## 11 -0.01031118 -0.48871862 0.259248901
## 12 0.59117451 -0.31628765 0.256571390
## 14 -0.61179688 -1.17844247 0.221763737
## 15 -0.01031118 1.06316006 0.122695802
## 18 -1.21328258 -1.17844247 -0.035277392
## 20 -0.01031118 -0.83358055 0.058435520
## 23 -0.01031118 1.40802199 0.208376178
## 29 0.59117451 0.02857427 0.369026884
## 35 -0.01031118 1.23559102 0.069145567
## 36 -1.21328258 0.71829813 -0.027244856
## 37 -0.61179688 -1.17844247 -0.080795092
## 42 -1.21328258 -1.35087344 -0.118280256
## 43 -0.61179688 -1.17844247 0.192311108
## 60 -0.01031118 -1.00601151 0.093243173
## 63 1.79414591 -0.48871862 0.162858478
## 64 -1.21328258 -0.31628765 -0.037954903
## 68 1.79414591 0.54586717 0.077178102
## 71 -0.01031118 1.06316006 0.235151296
## 77 0.59117451 -0.83358055 0.082533126
## 78 1.19266021 -0.66114958 0.128050825
## 80 -0.61179688 -0.14385669 0.015595332
## 81 -0.01031118 0.02857427 0.186956084
## 83 1.79414591 0.54586717 0.141438384
## 84 -1.21328258 0.71829813 0.101275708
## 89 -0.61179688 -1.17844247 0.120018290
## 90 -0.01031118 -1.00601151 0.184278572
## 98 1.79414591 0.54586717 0.109308243
## 99 -0.61179688 0.89072909 0.253893878
## 105 -0.61179688 -1.17844247 0.034337914
## 107 0.59117451 -0.83358055 0.077178102
## 108 1.19266021 -0.66114958 -12.927496500
## 109 1.79414591 -0.48871862 0.082533126
## 110 -1.21328258 -0.31628765 0.069145567
## 111 -0.01031118 0.02857427 0.224441249
## 113 1.19266021 0.37343620 0.114663267
## 116 -0.61179688 0.89072909 0.197666131
## 124 -0.61179688 -1.17844247 -0.011179786
## 131 -0.01031118 0.02857427 0.286024019
## 132 0.59117451 0.20100524 0.178923549
## 134 -0.61179688 0.71829813 -0.032599880
## 137 1.19266021 1.23559102 0.039692937
## 141 0.59117451 -0.83358055 0.031660402
## 147 -1.21328258 0.20100524 -0.003147251
## 151 1.79414591 1.06316006 -0.126312791
## 160 -0.61179688 -0.31628765 0.208376178
## 162 -1.21328258 0.20100524 0.047725473
## 165 -0.61179688 1.92531488 -0.102215186
## 168 1.19266021 2.44260777 -0.035277392
## ManufacturingProcess26 ManufacturingProcess27 ManufacturingProcess28
## 1 0.125634745 0.346035210 0.7826636
## 2 0.196622717 0.190661337 0.8779201
## 9 0.188018114 0.131336767 0.8969714
## 10 0.256854935 0.247160927 0.9160227
## 11 0.312784851 0.351685169 0.9350741
## 12 0.312784851 0.365810067 0.9350741
## 14 0.233192278 0.343210230 0.8588688
## 15 0.235343428 0.272585743 0.8969714
## 18 0.084762883 0.193486316 0.8017149
## 20 0.168657758 0.289535620 0.8398175
## 23 0.254703784 0.179361419 0.8779201
## 29 0.261157236 0.221736111 0.8017149
## 35 0.097669787 0.258460845 0.7826636
## 36 0.054646774 -0.072061758 0.8207662
## 37 -0.072271114 -0.080536697 0.7255096
## 42 -0.089480319 -0.055111881 0.7064583
## 43 0.157902005 0.153936603 0.8017149
## 60 0.007321460 -0.060761840 0.7255096
## 63 0.114878992 0.077662156 0.8017149
## 64 -0.012038896 -0.049461922 0.7255096
## 68 0.106274390 0.142636685 0.7826636
## 71 0.127785896 0.091787054 0.7636122
## 77 0.091216335 0.052237340 0.7445609
## 78 0.153599704 0.108736931 0.7636122
## 80 -0.001283142 -0.103136533 0.7064583
## 81 0.123483595 0.029637504 0.7445609
## 83 0.095518636 0.038112443 0.7445609
## 84 0.076158281 0.012687627 0.7255096
## 89 0.015926063 -0.046636943 0.6874070
## 90 0.067553678 0.026812525 0.7064583
## 98 0.074007130 0.032462484 0.7445609
## 99 0.261157236 0.416659698 0.8398175
## 105 -0.012038896 0.057887300 0.6874070
## 107 0.043891021 0.040937422 -1.2558268
## 108 -12.940454259 -12.888993813 -1.2558268
## 109 0.046042172 0.077662156 -1.2558268
## 110 -0.005585444 0.088962074 -1.2558268
## 111 0.138541649 0.026812525 -1.2558268
## 113 0.024530665 -0.052286902 -1.2558268
## 116 0.095518636 0.009862648 -1.2558268
## 124 0.063251377 0.043762402 -1.2558268
## 131 0.278366441 0.249985906 -1.2558268
## 132 0.224587675 0.196311296 -1.2558268
## 134 0.046042172 0.015512607 -1.2558268
## 137 -0.003434293 0.103086972 -1.2558268
## 141 -0.031399251 0.072012197 -1.2558268
## 147 -0.009887745 0.052237340 -1.2558268
## 151 -0.070119963 -0.032512045 -1.2558268
## 160 0.052495624 0.066362238 -1.2558268
## 162 -0.001283142 -0.060761840 -1.2558268
## 165 -0.048608457 -0.060761840 -1.2558268
## 168 -0.009887745 0.088962074 -1.2558268
## ManufacturingProcess29 ManufacturingProcess30 ManufacturingProcess31
## 1 0.5943242 0.75669482 -0.19525522
## 2 0.8347250 0.75669482 -0.26725229
## 9 0.8948253 1.37139702 -0.39324716
## 10 1.0150257 0.65424445 -0.30325082
## 11 1.1352261 0.24444298 -0.26725229
## 12 1.1953263 0.24444298 -0.28525155
## 14 0.8948253 0.24444298 -0.19525522
## 15 0.9549255 0.75669482 -0.30325082
## 18 0.5342240 1.47384739 -0.21325448
## 20 0.7145246 0.96159555 -0.26725229
## 23 0.5943242 -0.26780886 -0.01526254
## 29 0.4140236 -1.59966363 0.27272575
## 35 0.2337230 0.34689335 -0.01526254
## 36 0.2337230 0.96159555 -0.12325814
## 37 -0.1268782 0.96159555 -0.01526254
## 42 -0.2470786 0.96159555 0.02073600
## 43 0.2938232 -0.57515996 0.11073234
## 60 -0.0667780 -0.37025922 0.20072868
## 63 0.2337230 -0.37025922 0.11073234
## 64 -0.1268782 0.55179408 0.05673453
## 68 0.1736228 0.14199261 0.03873527
## 71 0.1736228 -0.98496143 0.05673453
## 77 -0.1268782 -0.26780886 0.18272941
## 78 -0.0066778 -0.37025922 0.18272941
## 80 -0.3071788 -0.06290812 0.21872794
## 81 -0.0667780 -0.88251106 0.29072502
## 83 -0.0667780 -0.57515996 0.23672721
## 84 -0.1869784 -0.47270959 0.25472648
## 89 -0.3071788 -0.78006069 0.34472282
## 90 -0.1869784 -1.08741179 0.36272209
## 98 -0.0667780 -0.37025922 0.20072868
## 99 0.4140236 -0.57515996 0.09273307
## 105 -0.3071788 -0.06290812 0.21872794
## 107 -0.1869784 -0.26780886 0.23672721
## 108 -12.0267185 -9.38589155 -12.63274927
## 109 -0.1869784 -0.37025922 0.23672721
## 110 -0.3071788 -0.26780886 0.25472648
## 111 -0.0667780 -1.18986216 0.34472282
## 113 -0.3071788 -0.78006069 0.34472282
## 116 -0.0667780 -1.08741179 0.32672355
## 124 -0.0066778 0.55179408 0.02073600
## 131 0.4140236 -1.08741179 0.18272941
## 132 0.2938232 -0.57515996 0.12873161
## 134 -0.1268782 0.44934372 0.07473380
## 137 -0.2470786 0.03954225 0.18272941
## 141 -0.2470786 0.03954225 0.20072868
## 147 -0.1869784 0.44934372 0.09273307
## 151 -0.3071788 0.96159555 0.03873527
## 160 -0.1869784 -1.18986216 0.38072135
## 162 -0.2470786 -0.16535849 0.21872794
## 165 -0.3071788 0.96159555 0.03873527
## 168 -0.1869784 0.55179408 0.05673453
## ManufacturingProcess32 ManufacturingProcess33 ManufacturingProcess34
## 1 -0.45688288 0.9890307 -1.7202722
## 2 1.95175313 0.9890307 1.9568096
## 9 0.28423589 0.5863539 0.1182687
## 10 1.02535466 0.9890307 0.1182687
## 11 1.39591405 1.3917075 0.1182687
## 12 1.95175313 1.3917075 0.1182687
## 14 0.46951558 0.9890307 -1.7202722
## 15 0.28423589 0.1836771 0.1182687
## 18 -0.27160319 0.1836771 0.1182687
## 20 -0.64216257 -0.6216764 0.1182687
## 23 0.28423589 0.9890307 -1.7202722
## 29 -0.08632349 -0.2189997 0.1182687
## 35 -0.64216257 -1.0243532 0.1182687
## 36 -1.01272196 -0.2189997 -1.7202722
## 37 1.39591405 0.5863539 1.9568096
## 42 -0.27160319 -1.0243532 1.9568096
## 43 0.84007497 0.1836771 0.1182687
## 60 0.28423589 -0.2189997 0.1182687
## 63 -0.45688288 -0.6216764 0.1182687
## 64 -1.56856103 -1.4270300 0.1182687
## 68 0.65479528 0.1836771 0.1182687
## 71 -0.08632349 -0.6216764 1.9568096
## 77 -0.27160319 -1.0243532 1.9568096
## 78 0.84007497 0.5863539 0.1182687
## 80 -0.82744226 -1.0243532 0.1182687
## 81 0.09895620 0.5863539 -1.7202722
## 83 1.02535466 0.5863539 0.1182687
## 84 1.02535466 0.9890307 0.1182687
## 89 0.84007497 0.5863539 0.1182687
## 90 -0.27160319 0.1836771 0.1182687
## 98 0.28423589 0.1836771 0.1182687
## 99 -0.82744226 -0.2189997 -1.7202722
## 105 -0.64216257 -0.6216764 0.1182687
## 107 -0.45688288 -0.2189997 0.1182687
## 108 -0.45688288 -0.6216764 0.1182687
## 109 -0.64216257 -0.6216764 0.1182687
## 110 -0.64216257 -0.2189997 0.1182687
## 111 0.65479528 0.5863539 0.1182687
## 113 0.28423589 0.1836771 0.1182687
## 116 1.58119374 1.7943843 0.1182687
## 124 0.28423589 0.1836771 1.9568096
## 131 0.28423589 0.5863539 0.1182687
## 132 -0.08632349 0.5863539 -1.7202722
## 134 -1.19800165 -0.6216764 0.1182687
## 137 -1.38328134 -1.0243532 0.1182687
## 141 -1.19800165 -1.4270300 0.1182687
## 147 -1.01272196 -1.0243532 0.1182687
## 151 -1.93912042 -1.8297068 0.1182687
## 160 -0.08632349 0.5863539 -1.7202722
## 162 -0.08632349 0.1836771 0.1182687
## 165 -1.75384073 -1.8297068 0.1182687
## 168 -1.56856103 -1.4270300 0.1182687
## ManufacturingProcess35 ManufacturingProcess36 ManufacturingProcess37
## 1 -0.88694718 -0.6557774 -1.15402429
## 2 1.14638329 -0.6557774 2.21613513
## 9 -0.42482662 -0.6557774 0.41871678
## 10 -0.70209896 -0.6557774 1.76678054
## 11 -0.23997840 -0.6557774 1.09274866
## 12 0.22214216 -1.8000420 -1.60337888
## 14 -0.51725073 -0.6557774 -0.92934699
## 15 -0.51725073 -0.6557774 1.31742595
## 18 0.12971805 0.4884872 0.19403948
## 20 -0.51725073 0.4884872 0.41871678
## 23 -0.33240251 -0.6557774 1.09274866
## 29 0.31456628 0.4884872 1.99145784
## 35 1.05395918 0.4884872 1.54210325
## 36 -1.34906774 0.4884872 -0.03063781
## 37 -0.05513017 -0.6557774 -0.25531511
## 42 1.23880740 0.4884872 0.19403948
## 43 0.22214216 -0.6557774 -0.25531511
## 60 0.31456628 -0.6557774 -0.47999240
## 63 0.59183861 0.4884872 -1.15402429
## 64 -0.33240251 1.6327518 0.19403948
## 68 -0.14755428 -0.6557774 -1.37870158
## 71 -1.07179541 -0.6557774 -0.70466970
## 77 1.05395918 0.4884872 -0.47999240
## 78 0.22214216 -0.6557774 1.54210325
## 80 1.97820030 1.6327518 0.41871678
## 81 -0.05513017 -0.6557774 -1.60337888
## 83 -0.33240251 -0.6557774 -1.60337888
## 84 0.96153506 -0.6557774 -0.25531511
## 89 -0.88694718 -0.6557774 -0.47999240
## 90 -0.23997840 0.4884872 0.41871678
## 98 -0.23997840 -0.6557774 -0.25531511
## 99 -0.51725073 0.4884872 -0.47999240
## 105 -1.34906774 -0.6557774 -0.03063781
## 107 -0.05513017 0.4884872 0.86807137
## 108 -0.97937130 -0.6557774 -0.70466970
## 109 -0.42482662 0.4884872 1.09274866
## 110 1.33123151 1.6327518 -0.92934699
## 111 -0.14755428 -0.6557774 -0.70466970
## 113 0.12971805 -0.6557774 -0.25531511
## 116 0.49941450 -0.6557774 -1.37870158
## 124 -1.34906774 -0.6557774 -0.70466970
## 131 -0.51725073 -0.6557774 -0.03063781
## 132 0.49941450 0.4884872 -1.37870158
## 134 -0.05513017 0.4884872 0.64339407
## 137 -0.05513017 0.4884872 0.19403948
## 141 -0.14755428 0.4884872 -0.03063781
## 147 -2.18088476 -0.6557774 2.21613513
## 151 1.05395918 1.6327518 -0.92934699
## 160 -1.34906774 -0.6557774 0.64339407
## 162 2.25547264 1.6327518 -1.15402429
## 165 1.51607974 1.6327518 1.76678054
## 168 2.07062441 2.7770165 1.31742595
## ManufacturingProcess38 ManufacturingProcess39 ManufacturingProcess40
## 1 0.7174727 0.23172698 0.05969714
## 2 -0.8224687 0.23172698 2.14909691
## 9 0.7174727 0.36457371 -0.46265281
## 10 0.7174727 0.16530361 -0.46265281
## 11 -0.8224687 0.09888024 -0.46265281
## 12 0.7174727 0.09888024 -0.46265281
## 14 0.7174727 0.36457371 -0.46265281
## 15 0.7174727 0.23172698 -0.46265281
## 18 0.7174727 0.36457371 -0.46265281
## 20 -0.8224687 0.29815035 -0.46265281
## 23 0.7174727 0.36457371 -0.46265281
## 29 0.7174727 0.29815035 2.14909691
## 35 0.7174727 0.29815035 -0.46265281
## 36 -0.8224687 0.36457371 2.14909691
## 37 0.7174727 0.16530361 -0.46265281
## 42 0.7174727 0.36457371 -0.46265281
## 43 0.7174727 0.29815035 2.14909691
## 60 0.7174727 0.09888024 -0.46265281
## 63 0.7174727 0.16530361 -0.46265281
## 64 -0.8224687 0.16530361 -0.46265281
## 68 0.7174727 0.09888024 -0.46265281
## 71 0.7174727 0.09888024 -0.46265281
## 77 0.7174727 0.16530361 -0.46265281
## 78 0.7174727 0.09888024 -0.46265281
## 80 0.7174727 0.16530361 -0.46265281
## 81 -0.8224687 0.16530361 -0.46265281
## 83 0.7174727 0.16530361 -0.46265281
## 84 -0.8224687 0.23172698 -0.46265281
## 89 -0.8224687 0.23172698 -0.46265281
## 90 -0.8224687 0.23172698 -0.46265281
## 98 -0.8224687 0.29815035 -0.46265281
## 99 0.7174727 0.23172698 2.14909691
## 105 -0.8224687 0.03245687 -0.46265281
## 107 0.7174727 0.09888024 -0.46265281
## 108 0.7174727 0.09888024 -0.46265281
## 109 -0.8224687 0.16530361 -0.46265281
## 110 0.7174727 0.29815035 -0.46265281
## 111 -0.8224687 0.09888024 -0.46265281
## 113 -0.8224687 0.09888024 2.14909691
## 116 0.7174727 0.23172698 -0.46265281
## 124 -0.8224687 0.16530361 -0.46265281
## 131 -0.8224687 0.23172698 -0.46265281
## 132 0.7174727 0.23172698 -0.46265281
## 134 -0.8224687 0.29815035 -0.46265281
## 137 0.7174727 0.29815035 2.14909691
## 141 0.7174727 0.23172698 2.14909691
## 147 -0.8224687 0.16530361 -0.46265281
## 151 0.7174727 0.23172698 -0.46265281
## 160 -0.8224687 0.23172698 -0.46265281
## 162 0.7174727 0.36457371 -0.46265281
## 165 0.7174727 0.29815035 -0.46265281
## 168 0.7174727 0.29815035 -0.46265281
## ManufacturingProcess41 ManufacturingProcess42 ManufacturingProcess43
## 1 -0.06900773 0.202795698 2.40564734
## 2 2.34626280 -0.054722649 -0.01374656
## 9 -0.44058781 0.099788359 -0.01374656
## 10 -0.44058781 0.048284690 -0.12895579
## 11 -0.44058781 -0.106226318 0.10146268
## 12 -0.44058781 -0.003218979 -0.12895579
## 14 -0.44058781 0.254299367 -0.35937426
## 15 -0.44058781 0.202795698 -0.12895579
## 18 -0.44058781 0.254299367 0.90792731
## 20 -0.44058781 0.099788359 0.67750884
## 23 -0.44058781 0.202795698 -0.12895579
## 29 3.27521300 0.254299367 -0.12895579
## 35 -0.44058781 0.254299367 -0.35937426
## 36 3.27521300 -0.106226318 -0.01374656
## 37 -0.44058781 -0.003218979 0.21667191
## 42 -0.44058781 0.099788359 -0.24416502
## 43 1.41731259 0.099788359 -0.24416502
## 60 -0.44058781 0.151292029 -0.24416502
## 63 -0.44058781 0.202795698 -0.12895579
## 64 -0.44058781 0.151292029 -0.24416502
## 68 -0.44058781 -0.003218979 0.33188114
## 71 -0.44058781 0.151292029 0.90792731
## 77 -0.44058781 0.202795698 -0.35937426
## 78 -0.44058781 0.099788359 0.44709038
## 80 -0.44058781 0.048284690 -0.01374656
## 81 -0.44058781 0.048284690 0.10146268
## 83 -0.44058781 0.151292029 0.79271808
## 84 -0.44058781 0.151292029 0.67750884
## 89 -0.44058781 0.151292029 0.21667191
## 90 -0.44058781 0.048284690 -0.12895579
## 98 -0.44058781 0.151292029 -0.01374656
## 99 1.41731259 0.254299367 0.21667191
## 105 -0.44058781 0.254299367 -0.12895579
## 107 -0.44058781 0.254299367 -0.12895579
## 108 -0.44058781 0.202795698 -0.12895579
## 109 1.41731259 0.254299367 -0.12895579
## 110 -0.44058781 0.151292029 -0.01374656
## 111 -0.44058781 0.202795698 0.90792731
## 113 1.41731259 0.048284690 -0.01374656
## 116 -0.44058781 0.305803036 -0.35937426
## 124 -0.44058781 0.202795698 -0.24416502
## 131 -0.44058781 0.099788359 -0.58979272
## 132 -0.44058781 0.202795698 -0.35937426
## 134 -0.44058781 0.305803036 -0.58979272
## 137 1.41731259 0.254299367 -0.47458349
## 141 1.41731259 0.254299367 -0.47458349
## 147 -0.44058781 0.254299367 -0.47458349
## 151 -0.44058781 0.254299367 -0.35937426
## 160 -0.44058781 0.460314044 -0.24416502
## 162 -0.44058781 0.254299367 -0.70500195
## 165 -0.44058781 0.202795698 -0.58979272
## 168 -0.44058781 0.048284690 -0.47458349
## ManufacturingProcess44 ManufacturingProcess45
## 1 -0.01588055 0.64371849
## 2 0.29467248 0.15220242
## 9 0.29467248 -0.09355562
## 10 0.29467248 0.64371849
## 11 0.29467248 -0.83082972
## 12 0.60522552 -0.83082972
## 14 -0.32643359 -0.58507169
## 15 0.29467248 -0.33931365
## 18 -0.01588055 0.15220242
## 20 -0.94753966 -0.33931365
## 23 0.29467248 0.64371849
## 29 -0.32643359 0.15220242
## 35 0.29467248 1.13523456
## 36 0.60522552 -0.09355562
## 37 0.29467248 0.64371849
## 42 -0.01588055 0.64371849
## 43 0.60522552 0.64371849
## 60 -0.01588055 0.39796046
## 63 -0.01588055 -0.33931365
## 64 0.29467248 0.39796046
## 68 0.29467248 -0.83082972
## 71 0.29467248 0.15220242
## 77 0.60522552 0.39796046
## 78 0.29467248 0.15220242
## 80 0.91577855 0.15220242
## 81 0.29467248 -0.09355562
## 83 0.29467248 0.64371849
## 84 0.29467248 0.64371849
## 89 0.29467248 0.39796046
## 90 0.29467248 -0.09355562
## 98 0.29467248 -0.09355562
## 99 0.29467248 0.15220242
## 105 0.29467248 -0.33931365
## 107 0.29467248 -0.58507169
## 108 0.29467248 0.64371849
## 109 0.29467248 -0.58507169
## 110 -0.01588055 0.64371849
## 111 -0.01588055 0.15220242
## 113 -0.01588055 0.39796046
## 116 0.29467248 0.15220242
## 124 -0.01588055 0.15220242
## 131 0.29467248 0.15220242
## 132 -0.01588055 -0.09355562
## 134 0.29467248 0.15220242
## 137 0.29467248 0.64371849
## 141 -0.01588055 0.39796046
## 147 -0.01588055 -0.58507169
## 151 -0.32643359 0.39796046
## 160 -0.01588055 -0.09355562
## 162 0.29467248 -0.83082972
## 165 -0.01588055 0.39796046
## 168 -0.32643359 -0.09355562Training Models
## k-Nearest Neighbors
##
## 124 samples
## 56 predictor
##
## Pre-processing: centered (56), scaled (56)
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 112, 112, 111, 112, 112, 112, ...
## Resampling results across tuning parameters:
##
## k RMSE Rsquared MAE
## 5 0.7331985 0.5390202 0.5872201
## 7 0.7495777 0.5081141 0.6134293
## 9 0.7539743 0.5048775 0.6142058
## 11 0.7692892 0.4934248 0.6296052
## 13 0.7749992 0.4906569 0.6386534
## 15 0.7796738 0.4945717 0.6413171
## 17 0.8008349 0.4658446 0.6563732
## 19 0.8005706 0.4634039 0.6560027
## 21 0.8076917 0.4607728 0.6614042
## 23 0.8097771 0.4681025 0.6596785
## 25 0.8226214 0.4550624 0.6691038
## 27 0.8282965 0.4511624 0.6736881
## 29 0.8300861 0.4644303 0.6740676
## 31 0.8441553 0.4474153 0.6821483
## 33 0.8513937 0.4551148 0.6862595
## 35 0.8550559 0.4533600 0.6900227
## 37 0.8608531 0.4479458 0.6961920
## 39 0.8584946 0.4655464 0.6927552
## 41 0.8667824 0.4623245 0.7023725
## 43 0.8713728 0.4561548 0.7072131
##
## Rsquared was used to select the optimal model using the largest value.
## The final value used for the model was k = 5.## Partial Least Squares
##
## 124 samples
## 56 predictor
##
## No pre-processing
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 111, 111, 112, 112, 112, 112, ...
## Resampling results across tuning parameters:
##
## ncomp RMSE Rsquared MAE
## 1 0.7717822 0.4757553 0.6429452
## 2 0.6944841 0.5622464 0.5775583
## 3 0.6562379 0.6174017 0.5526675
## 4 0.6607017 0.6267252 0.5623003
## 5 0.6717716 0.6285520 0.5681390
## 6 0.6907795 0.6207983 0.5813630
## 7 0.7230514 0.6120486 0.5996732
## 8 0.7439499 0.6059499 0.6159466
## 9 0.7550069 0.6069699 0.6305237
## 10 0.7627294 0.6034252 0.6366891
## 11 0.7832391 0.5947809 0.6498214
## 12 0.7970844 0.5814125 0.6575522
## 13 0.8162926 0.5769007 0.6643552
## 14 0.8268635 0.5688058 0.6705877
## 15 0.8270035 0.5704065 0.6724572
## 16 0.8377279 0.5639058 0.6793361
## 17 0.8494510 0.5552573 0.6885689
## 18 0.8575688 0.5473096 0.6950498
## 19 0.8706284 0.5427714 0.7020860
## 20 0.8782051 0.5423162 0.7074147
##
## Rsquared was used to select the optimal model using the largest value.
## The final value used for the model was ncomp = 5.## Support Vector Machines with Radial Basis Function Kernel
##
## 124 samples
## 56 predictor
##
## Pre-processing: centered (56), scaled (56)
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 112, 112, 111, 111, 112, 112, ...
## Resampling results across tuning parameters:
##
## C RMSE Rsquared MAE
## 0.25 0.8206841 0.4698489 0.6631817
## 0.50 0.7482548 0.5374628 0.6046570
## 1.00 0.6658502 0.6374008 0.5343725
## 2.00 0.6171673 0.6802396 0.4944881
## 4.00 0.6024390 0.6823679 0.4760243
## 8.00 0.6053784 0.6767094 0.4773850
## 16.00 0.6043757 0.6782157 0.4765995
## 32.00 0.6043757 0.6782157 0.4765995
## 64.00 0.6043757 0.6782157 0.4765995
## 128.00 0.6043757 0.6782157 0.4765995
## 256.00 0.6043757 0.6782157 0.4765995
## 512.00 0.6043757 0.6782157 0.4765995
## 1024.00 0.6043757 0.6782157 0.4765995
## 2048.00 0.6043757 0.6782157 0.4765995
## 4096.00 0.6043757 0.6782157 0.4765995
## 8192.00 0.6043757 0.6782157 0.4765995
## 16384.00 0.6043757 0.6782157 0.4765995
## 32768.00 0.6043757 0.6782157 0.4765995
## 65536.00 0.6043757 0.6782157 0.4765995
## 131072.00 0.6043757 0.6782157 0.4765995
##
## Tuning parameter 'sigma' was held constant at a value of 0.01439414
## Rsquared was used to select the optimal model using the largest value.
## The final values used for the model were sigma = 0.01439414 and C = 4.## Multivariate Adaptive Regression Spline
##
## 124 samples
## 56 predictor
##
## Pre-processing: centered (56), scaled (56)
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 112, 111, 112, 112, 111, 111, ...
## Resampling results across tuning parameters:
##
## nprune RMSE Rsquared MAE
## 2 0.8154544 0.4720160 0.6587037
## 3 0.7130644 0.5741567 0.5873824
## 4 0.6514306 0.6428340 0.5452651
## 5 0.6545428 0.6481032 0.5400096
## 6 0.6457563 0.6513140 0.5255786
## 7 0.6461546 0.6630352 0.5201329
## 8 0.6556009 0.6531376 0.5359745
## 9 0.6744509 0.6328709 0.5524364
## 10 0.6815064 0.6204259 0.5545490
## 11 0.6871669 0.6087856 0.5575379
## 12 0.6747233 0.6230402 0.5389567
## 13 0.6636080 0.6315013 0.5343202
## 14 0.6632792 0.6152898 0.5232999
## 15 0.6576001 0.6250993 0.5170064
## 16 0.6549971 0.6245939 0.5193456
## 17 0.6576019 0.6228212 0.5215179
##
## Tuning parameter 'degree' was held constant at a value of 1
## Rsquared was used to select the optimal model using the largest value.
## The final values used for the model were nprune = 7 and degree = 1.## Neural Network
##
## 176 samples
## 56 predictor
##
## Pre-processing: centered (56), scaled (56)
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 159, 158, 158, 158, 156, 158, ...
## Resampling results across tuning parameters:
##
## size decay RMSE Rsquared MAE
## 1 0.0000000000 0.7733361 0.4359341 0.6178509
## 1 0.0001000000 0.7361748 0.4916011 0.6038343
## 1 0.0001467799 0.7883505 0.4234944 0.6323070
## 1 0.0002154435 0.7666251 0.4453828 0.6045113
## 1 0.0003162278 0.7390739 0.4848626 0.5852972
## 1 0.0004641589 0.7516727 0.4603698 0.6112549
## 1 0.0006812921 0.7268926 0.4899206 0.5838684
## 1 0.0010000000 0.7416230 0.4891885 0.5990619
## 1 0.0014677993 0.7853660 0.4320965 0.6393634
## 1 0.0021544347 0.7846231 0.4161316 0.6177282
## 1 0.0031622777 0.7797749 0.4364165 0.6313108
## 1 0.0046415888 0.7838140 0.4218816 0.6207221
## 1 0.0068129207 0.7998903 0.4111267 0.6414881
## 1 0.0100000000 0.7651401 0.4731201 0.6072512
## 1 0.0146779927 0.7430733 0.4648457 0.6123035
## 1 0.0215443469 0.7475622 0.4570689 0.5969587
## 1 0.0316227766 0.7797138 0.4195511 0.6157066
## 1 0.0464158883 0.7705100 0.4346861 0.6178038
## 1 0.0681292069 0.7352786 0.4981942 0.5953988
## 1 0.1000000000 0.7806364 0.4318419 0.6337328
## 3 0.0000000000 NaN NaN NaN
## 3 0.0001000000 NaN NaN NaN
## 3 0.0001467799 NaN NaN NaN
## 3 0.0002154435 NaN NaN NaN
## 3 0.0003162278 NaN NaN NaN
## 3 0.0004641589 NaN NaN NaN
## 3 0.0006812921 NaN NaN NaN
## 3 0.0010000000 NaN NaN NaN
## 3 0.0014677993 NaN NaN NaN
## 3 0.0021544347 NaN NaN NaN
## 3 0.0031622777 NaN NaN NaN
## 3 0.0046415888 NaN NaN NaN
## 3 0.0068129207 NaN NaN NaN
## 3 0.0100000000 NaN NaN NaN
## 3 0.0146779927 NaN NaN NaN
## 3 0.0215443469 NaN NaN NaN
## 3 0.0316227766 NaN NaN NaN
## 3 0.0464158883 NaN NaN NaN
## 3 0.0681292069 NaN NaN NaN
## 3 0.1000000000 NaN NaN NaN
## 5 0.0000000000 NaN NaN NaN
## 5 0.0001000000 NaN NaN NaN
## 5 0.0001467799 NaN NaN NaN
## 5 0.0002154435 NaN NaN NaN
## 5 0.0003162278 NaN NaN NaN
## 5 0.0004641589 NaN NaN NaN
## 5 0.0006812921 NaN NaN NaN
## 5 0.0010000000 NaN NaN NaN
## 5 0.0014677993 NaN NaN NaN
## 5 0.0021544347 NaN NaN NaN
## 5 0.0031622777 NaN NaN NaN
## 5 0.0046415888 NaN NaN NaN
## 5 0.0068129207 NaN NaN NaN
## 5 0.0100000000 NaN NaN NaN
## 5 0.0146779927 NaN NaN NaN
## 5 0.0215443469 NaN NaN NaN
## 5 0.0316227766 NaN NaN NaN
## 5 0.0464158883 NaN NaN NaN
## 5 0.0681292069 NaN NaN NaN
## 5 0.1000000000 NaN NaN NaN
## 7 0.0000000000 NaN NaN NaN
## 7 0.0001000000 NaN NaN NaN
## 7 0.0001467799 NaN NaN NaN
## 7 0.0002154435 NaN NaN NaN
## 7 0.0003162278 NaN NaN NaN
## 7 0.0004641589 NaN NaN NaN
## 7 0.0006812921 NaN NaN NaN
## 7 0.0010000000 NaN NaN NaN
## 7 0.0014677993 NaN NaN NaN
## 7 0.0021544347 NaN NaN NaN
## 7 0.0031622777 NaN NaN NaN
## 7 0.0046415888 NaN NaN NaN
## 7 0.0068129207 NaN NaN NaN
## 7 0.0100000000 NaN NaN NaN
## 7 0.0146779927 NaN NaN NaN
## 7 0.0215443469 NaN NaN NaN
## 7 0.0316227766 NaN NaN NaN
## 7 0.0464158883 NaN NaN NaN
## 7 0.0681292069 NaN NaN NaN
## 7 0.1000000000 NaN NaN NaN
## 9 0.0000000000 NaN NaN NaN
## 9 0.0001000000 NaN NaN NaN
## 9 0.0001467799 NaN NaN NaN
## 9 0.0002154435 NaN NaN NaN
## 9 0.0003162278 NaN NaN NaN
## 9 0.0004641589 NaN NaN NaN
## 9 0.0006812921 NaN NaN NaN
## 9 0.0010000000 NaN NaN NaN
## 9 0.0014677993 NaN NaN NaN
## 9 0.0021544347 NaN NaN NaN
## 9 0.0031622777 NaN NaN NaN
## 9 0.0046415888 NaN NaN NaN
## 9 0.0068129207 NaN NaN NaN
## 9 0.0100000000 NaN NaN NaN
## 9 0.0146779927 NaN NaN NaN
## 9 0.0215443469 NaN NaN NaN
## 9 0.0316227766 NaN NaN NaN
## 9 0.0464158883 NaN NaN NaN
## 9 0.0681292069 NaN NaN NaN
## 9 0.1000000000 NaN NaN NaN
## 11 0.0000000000 NaN NaN NaN
## 11 0.0001000000 NaN NaN NaN
## 11 0.0001467799 NaN NaN NaN
## 11 0.0002154435 NaN NaN NaN
## 11 0.0003162278 NaN NaN NaN
## 11 0.0004641589 NaN NaN NaN
## 11 0.0006812921 NaN NaN NaN
## 11 0.0010000000 NaN NaN NaN
## 11 0.0014677993 NaN NaN NaN
## 11 0.0021544347 NaN NaN NaN
## 11 0.0031622777 NaN NaN NaN
## 11 0.0046415888 NaN NaN NaN
## 11 0.0068129207 NaN NaN NaN
## 11 0.0100000000 NaN NaN NaN
## 11 0.0146779927 NaN NaN NaN
## 11 0.0215443469 NaN NaN NaN
## 11 0.0316227766 NaN NaN NaN
## 11 0.0464158883 NaN NaN NaN
## 11 0.0681292069 NaN NaN NaN
## 11 0.1000000000 NaN NaN NaN
## 13 0.0000000000 NaN NaN NaN
## 13 0.0001000000 NaN NaN NaN
## 13 0.0001467799 NaN NaN NaN
## 13 0.0002154435 NaN NaN NaN
## 13 0.0003162278 NaN NaN NaN
## 13 0.0004641589 NaN NaN NaN
## 13 0.0006812921 NaN NaN NaN
## 13 0.0010000000 NaN NaN NaN
## 13 0.0014677993 NaN NaN NaN
## 13 0.0021544347 NaN NaN NaN
## 13 0.0031622777 NaN NaN NaN
## 13 0.0046415888 NaN NaN NaN
## 13 0.0068129207 NaN NaN NaN
## 13 0.0100000000 NaN NaN NaN
## 13 0.0146779927 NaN NaN NaN
## 13 0.0215443469 NaN NaN NaN
## 13 0.0316227766 NaN NaN NaN
## 13 0.0464158883 NaN NaN NaN
## 13 0.0681292069 NaN NaN NaN
## 13 0.1000000000 NaN NaN NaN
## 15 0.0000000000 NaN NaN NaN
## 15 0.0001000000 NaN NaN NaN
## 15 0.0001467799 NaN NaN NaN
## 15 0.0002154435 NaN NaN NaN
## 15 0.0003162278 NaN NaN NaN
## 15 0.0004641589 NaN NaN NaN
## 15 0.0006812921 NaN NaN NaN
## 15 0.0010000000 NaN NaN NaN
## 15 0.0014677993 NaN NaN NaN
## 15 0.0021544347 NaN NaN NaN
## 15 0.0031622777 NaN NaN NaN
## 15 0.0046415888 NaN NaN NaN
## 15 0.0068129207 NaN NaN NaN
## 15 0.0100000000 NaN NaN NaN
## 15 0.0146779927 NaN NaN NaN
## 15 0.0215443469 NaN NaN NaN
## 15 0.0316227766 NaN NaN NaN
## 15 0.0464158883 NaN NaN NaN
## 15 0.0681292069 NaN NaN NaN
## 15 0.1000000000 NaN NaN NaN
## 17 0.0000000000 NaN NaN NaN
## 17 0.0001000000 NaN NaN NaN
## 17 0.0001467799 NaN NaN NaN
## 17 0.0002154435 NaN NaN NaN
## 17 0.0003162278 NaN NaN NaN
## 17 0.0004641589 NaN NaN NaN
## 17 0.0006812921 NaN NaN NaN
## 17 0.0010000000 NaN NaN NaN
## 17 0.0014677993 NaN NaN NaN
## 17 0.0021544347 NaN NaN NaN
## 17 0.0031622777 NaN NaN NaN
## 17 0.0046415888 NaN NaN NaN
## 17 0.0068129207 NaN NaN NaN
## 17 0.0100000000 NaN NaN NaN
## 17 0.0146779927 NaN NaN NaN
## 17 0.0215443469 NaN NaN NaN
## 17 0.0316227766 NaN NaN NaN
## 17 0.0464158883 NaN NaN NaN
## 17 0.0681292069 NaN NaN NaN
## 17 0.1000000000 NaN NaN NaN
## 19 0.0000000000 NaN NaN NaN
## 19 0.0001000000 NaN NaN NaN
## 19 0.0001467799 NaN NaN NaN
## 19 0.0002154435 NaN NaN NaN
## 19 0.0003162278 NaN NaN NaN
## 19 0.0004641589 NaN NaN NaN
## 19 0.0006812921 NaN NaN NaN
## 19 0.0010000000 NaN NaN NaN
## 19 0.0014677993 NaN NaN NaN
## 19 0.0021544347 NaN NaN NaN
## 19 0.0031622777 NaN NaN NaN
## 19 0.0046415888 NaN NaN NaN
## 19 0.0068129207 NaN NaN NaN
## 19 0.0100000000 NaN NaN NaN
## 19 0.0146779927 NaN NaN NaN
## 19 0.0215443469 NaN NaN NaN
## 19 0.0316227766 NaN NaN NaN
## 19 0.0464158883 NaN NaN NaN
## 19 0.0681292069 NaN NaN NaN
## 19 0.1000000000 NaN NaN NaN
## 21 0.0000000000 NaN NaN NaN
## 21 0.0001000000 NaN NaN NaN
## 21 0.0001467799 NaN NaN NaN
## 21 0.0002154435 NaN NaN NaN
## 21 0.0003162278 NaN NaN NaN
## 21 0.0004641589 NaN NaN NaN
## 21 0.0006812921 NaN NaN NaN
## 21 0.0010000000 NaN NaN NaN
## 21 0.0014677993 NaN NaN NaN
## 21 0.0021544347 NaN NaN NaN
## 21 0.0031622777 NaN NaN NaN
## 21 0.0046415888 NaN NaN NaN
## 21 0.0068129207 NaN NaN NaN
## 21 0.0100000000 NaN NaN NaN
## 21 0.0146779927 NaN NaN NaN
## 21 0.0215443469 NaN NaN NaN
## 21 0.0316227766 NaN NaN NaN
## 21 0.0464158883 NaN NaN NaN
## 21 0.0681292069 NaN NaN NaN
## 21 0.1000000000 NaN NaN NaN
## 23 0.0000000000 NaN NaN NaN
## 23 0.0001000000 NaN NaN NaN
## 23 0.0001467799 NaN NaN NaN
## 23 0.0002154435 NaN NaN NaN
## 23 0.0003162278 NaN NaN NaN
## 23 0.0004641589 NaN NaN NaN
## 23 0.0006812921 NaN NaN NaN
## 23 0.0010000000 NaN NaN NaN
## 23 0.0014677993 NaN NaN NaN
## 23 0.0021544347 NaN NaN NaN
## 23 0.0031622777 NaN NaN NaN
## 23 0.0046415888 NaN NaN NaN
## 23 0.0068129207 NaN NaN NaN
## 23 0.0100000000 NaN NaN NaN
## 23 0.0146779927 NaN NaN NaN
## 23 0.0215443469 NaN NaN NaN
## 23 0.0316227766 NaN NaN NaN
## 23 0.0464158883 NaN NaN NaN
## 23 0.0681292069 NaN NaN NaN
## 23 0.1000000000 NaN NaN NaN
## 25 0.0000000000 NaN NaN NaN
## 25 0.0001000000 NaN NaN NaN
## 25 0.0001467799 NaN NaN NaN
## 25 0.0002154435 NaN NaN NaN
## 25 0.0003162278 NaN NaN NaN
## 25 0.0004641589 NaN NaN NaN
## 25 0.0006812921 NaN NaN NaN
## 25 0.0010000000 NaN NaN NaN
## 25 0.0014677993 NaN NaN NaN
## 25 0.0021544347 NaN NaN NaN
## 25 0.0031622777 NaN NaN NaN
## 25 0.0046415888 NaN NaN NaN
## 25 0.0068129207 NaN NaN NaN
## 25 0.0100000000 NaN NaN NaN
## 25 0.0146779927 NaN NaN NaN
## 25 0.0215443469 NaN NaN NaN
## 25 0.0316227766 NaN NaN NaN
## 25 0.0464158883 NaN NaN NaN
## 25 0.0681292069 NaN NaN NaN
## 25 0.1000000000 NaN NaN NaN
## 27 0.0000000000 NaN NaN NaN
## 27 0.0001000000 NaN NaN NaN
## 27 0.0001467799 NaN NaN NaN
## 27 0.0002154435 NaN NaN NaN
## 27 0.0003162278 NaN NaN NaN
## 27 0.0004641589 NaN NaN NaN
## 27 0.0006812921 NaN NaN NaN
## 27 0.0010000000 NaN NaN NaN
## 27 0.0014677993 NaN NaN NaN
## 27 0.0021544347 NaN NaN NaN
## 27 0.0031622777 NaN NaN NaN
## 27 0.0046415888 NaN NaN NaN
## 27 0.0068129207 NaN NaN NaN
## 27 0.0100000000 NaN NaN NaN
## 27 0.0146779927 NaN NaN NaN
## 27 0.0215443469 NaN NaN NaN
## 27 0.0316227766 NaN NaN NaN
## 27 0.0464158883 NaN NaN NaN
## 27 0.0681292069 NaN NaN NaN
## 27 0.1000000000 NaN NaN NaN
## 29 0.0000000000 NaN NaN NaN
## 29 0.0001000000 NaN NaN NaN
## 29 0.0001467799 NaN NaN NaN
## 29 0.0002154435 NaN NaN NaN
## 29 0.0003162278 NaN NaN NaN
## 29 0.0004641589 NaN NaN NaN
## 29 0.0006812921 NaN NaN NaN
## 29 0.0010000000 NaN NaN NaN
## 29 0.0014677993 NaN NaN NaN
## 29 0.0021544347 NaN NaN NaN
## 29 0.0031622777 NaN NaN NaN
## 29 0.0046415888 NaN NaN NaN
## 29 0.0068129207 NaN NaN NaN
## 29 0.0100000000 NaN NaN NaN
## 29 0.0146779927 NaN NaN NaN
## 29 0.0215443469 NaN NaN NaN
## 29 0.0316227766 NaN NaN NaN
## 29 0.0464158883 NaN NaN NaN
## 29 0.0681292069 NaN NaN NaN
## 29 0.1000000000 NaN NaN NaN
## 31 0.0000000000 NaN NaN NaN
## 31 0.0001000000 NaN NaN NaN
## 31 0.0001467799 NaN NaN NaN
## 31 0.0002154435 NaN NaN NaN
## 31 0.0003162278 NaN NaN NaN
## 31 0.0004641589 NaN NaN NaN
## 31 0.0006812921 NaN NaN NaN
## 31 0.0010000000 NaN NaN NaN
## 31 0.0014677993 NaN NaN NaN
## 31 0.0021544347 NaN NaN NaN
## 31 0.0031622777 NaN NaN NaN
## 31 0.0046415888 NaN NaN NaN
## 31 0.0068129207 NaN NaN NaN
## 31 0.0100000000 NaN NaN NaN
## 31 0.0146779927 NaN NaN NaN
## 31 0.0215443469 NaN NaN NaN
## 31 0.0316227766 NaN NaN NaN
## 31 0.0464158883 NaN NaN NaN
## 31 0.0681292069 NaN NaN NaN
## 31 0.1000000000 NaN NaN NaN
## 33 0.0000000000 NaN NaN NaN
## 33 0.0001000000 NaN NaN NaN
## 33 0.0001467799 NaN NaN NaN
## 33 0.0002154435 NaN NaN NaN
## 33 0.0003162278 NaN NaN NaN
## 33 0.0004641589 NaN NaN NaN
## 33 0.0006812921 NaN NaN NaN
## 33 0.0010000000 NaN NaN NaN
## 33 0.0014677993 NaN NaN NaN
## 33 0.0021544347 NaN NaN NaN
## 33 0.0031622777 NaN NaN NaN
## 33 0.0046415888 NaN NaN NaN
## 33 0.0068129207 NaN NaN NaN
## 33 0.0100000000 NaN NaN NaN
## 33 0.0146779927 NaN NaN NaN
## 33 0.0215443469 NaN NaN NaN
## 33 0.0316227766 NaN NaN NaN
## 33 0.0464158883 NaN NaN NaN
## 33 0.0681292069 NaN NaN NaN
## 33 0.1000000000 NaN NaN NaN
## 35 0.0000000000 NaN NaN NaN
## 35 0.0001000000 NaN NaN NaN
## 35 0.0001467799 NaN NaN NaN
## 35 0.0002154435 NaN NaN NaN
## 35 0.0003162278 NaN NaN NaN
## 35 0.0004641589 NaN NaN NaN
## 35 0.0006812921 NaN NaN NaN
## 35 0.0010000000 NaN NaN NaN
## 35 0.0014677993 NaN NaN NaN
## 35 0.0021544347 NaN NaN NaN
## 35 0.0031622777 NaN NaN NaN
## 35 0.0046415888 NaN NaN NaN
## 35 0.0068129207 NaN NaN NaN
## 35 0.0100000000 NaN NaN NaN
## 35 0.0146779927 NaN NaN NaN
## 35 0.0215443469 NaN NaN NaN
## 35 0.0316227766 NaN NaN NaN
## 35 0.0464158883 NaN NaN NaN
## 35 0.0681292069 NaN NaN NaN
## 35 0.1000000000 NaN NaN NaN
## 37 0.0000000000 NaN NaN NaN
## 37 0.0001000000 NaN NaN NaN
## 37 0.0001467799 NaN NaN NaN
## 37 0.0002154435 NaN NaN NaN
## 37 0.0003162278 NaN NaN NaN
## 37 0.0004641589 NaN NaN NaN
## 37 0.0006812921 NaN NaN NaN
## 37 0.0010000000 NaN NaN NaN
## 37 0.0014677993 NaN NaN NaN
## 37 0.0021544347 NaN NaN NaN
## 37 0.0031622777 NaN NaN NaN
## 37 0.0046415888 NaN NaN NaN
## 37 0.0068129207 NaN NaN NaN
## 37 0.0100000000 NaN NaN NaN
## 37 0.0146779927 NaN NaN NaN
## 37 0.0215443469 NaN NaN NaN
## 37 0.0316227766 NaN NaN NaN
## 37 0.0464158883 NaN NaN NaN
## 37 0.0681292069 NaN NaN NaN
## 37 0.1000000000 NaN NaN NaN
## 39 0.0000000000 NaN NaN NaN
## 39 0.0001000000 NaN NaN NaN
## 39 0.0001467799 NaN NaN NaN
## 39 0.0002154435 NaN NaN NaN
## 39 0.0003162278 NaN NaN NaN
## 39 0.0004641589 NaN NaN NaN
## 39 0.0006812921 NaN NaN NaN
## 39 0.0010000000 NaN NaN NaN
## 39 0.0014677993 NaN NaN NaN
## 39 0.0021544347 NaN NaN NaN
## 39 0.0031622777 NaN NaN NaN
## 39 0.0046415888 NaN NaN NaN
## 39 0.0068129207 NaN NaN NaN
## 39 0.0100000000 NaN NaN NaN
## 39 0.0146779927 NaN NaN NaN
## 39 0.0215443469 NaN NaN NaN
## 39 0.0316227766 NaN NaN NaN
## 39 0.0464158883 NaN NaN NaN
## 39 0.0681292069 NaN NaN NaN
## 39 0.1000000000 NaN NaN NaN
##
## Rsquared was used to select the optimal model using the largest value.
## The final values used for the model were size = 1 and decay = 0.06812921.Which nonlinear regression model gives the optimal resampling and test set performance?
## RMSE Rsquared MAE
## KNN 0.6302989 0.4581004 0.4824190
## MARS 0.6126259 0.5046110 0.4675212
## SVM 0.4869395 0.6792380 0.3922497
## NNET 0.5489011 0.5902603 0.4585941
## PLS 0.5816102 0.5648120 0.4522781Best Model Overall: SVM performs best in terms of explaining variance (highest R-squared) and has competitive RMSE and MAE values, making it a strong choice.
Which predictors are most important in the optimal nonlinear regression model?
Both the SVM and PLS models agree that the top 2 most important variables are ManufacturingProcess32, ManufacturingProcess13, showing that these processes are major predictors. In the SVM model’s top 10, there are six manufacturing process variables and four biological materials. For the PLS model, there are seven manufacturing processes and three biological materials. Even though each model has a different mix, those key manufacturing processes consistently come out on top.
Explore the relationships between the top predictors and the response for the predictors that are unique to the optimal nonlinear regression model. Do these plots reveal intuition about the biological or process predictors and their relationship with yield?
ManufacturingProcess32: It looks like ManufacturingProcess32 has a bit of a sweet spot for yield. When values are low, Yield dips slightly, but once ManufacturingProcess32 crosses zero, yield steadily improves. This suggests that higher levels of this process might be helping to boost yield, but only once it reaches a certain point.
ManufacturingProcess13: With ManufacturingProcess13, the story’s a bit different. Here, yield starts off high but steadily drops as ManufacturingProcess13 increases. This implies that keeping ManufacturingProcess13 lower might actually be better for yield.
BiologicalMaterial06: The relationship between BiologicalMaterial06 and yield is more subtle. There’s a slight upward trend, hinting that a bit more of BiologicalMaterial06 might nudge yields up, but the effect isn’t as strong as with the manufacturing processes. This could mean that biological factors play a smaller role here, or perhaps they’re just harder to optimize for yield.