Title

predict_ridge(obj, newx, cv = TRUE)

Arguments

newx

Examples



n <- 100 ; p <- 10
X <- matrix(rnorm(n * p), n, p) # no intercept!
y <- rnorm(n)

fit_obj <- after::fit_ridge(X, y)

n_test <- 10

predict_ridge(fit_obj, newx=matrix(rnorm(n_test * p), n_test, p),
cv=TRUE)
#>  [1] -0.1184286 -0.1184286 -0.1184286 -0.1184286 -0.1184286 -0.1184286
#>  [7] -0.1184286 -0.1184286 -0.1184286 -0.1184286

predict_ridge(fit_obj, newx=matrix(rnorm(n_test * p), n_test, p),
cv=FALSE)
#>              1e-10 1.59228279334109e-10 2.53536449397012e-10
#>  [1,]  0.433902164          0.433902164          0.433902164
#>  [2,] -0.259458032         -0.259458032         -0.259458032
#>  [3,] -0.331969832         -0.331969832         -0.331969832
#>  [4,]  0.752461066          0.752461066          0.752461066
#>  [5,]  0.002910314          0.002910314          0.002910314
#>  [6,] -0.332795665         -0.332795665         -0.332795665
#>  [7,] -0.151044047         -0.151044047         -0.151044047
#>  [8,] -0.005174801         -0.005174801         -0.005174801
#>  [9,] -0.016006877         -0.016006877         -0.016006877
#> [10,]  0.108479218          0.108479218          0.108479218
#>       4.03701725859655e-10 6.42807311728432e-10 1.02353102189903e-09
#>  [1,]          0.433902164          0.433902164          0.433902164
#>  [2,]         -0.259458032         -0.259458032         -0.259458032
#>  [3,]         -0.331969832         -0.331969832         -0.331969832
#>  [4,]          0.752461066          0.752461066          0.752461066
#>  [5,]          0.002910314          0.002910314          0.002910314
#>  [6,]         -0.332795665         -0.332795665         -0.332795665
#>  [7,]         -0.151044047         -0.151044047         -0.151044047
#>  [8,]         -0.005174801         -0.005174801         -0.005174801
#>  [9,]         -0.016006877         -0.016006877         -0.016006877
#> [10,]          0.108479218          0.108479218          0.108479218
#>       1.62975083462065e-09 2.59502421139973e-09 4.13201240011533e-09
#>  [1,]          0.433902164          0.433902164          0.433902164
#>  [2,]         -0.259458032         -0.259458032         -0.259458032
#>  [3,]         -0.331969832         -0.331969832         -0.331969832
#>  [4,]          0.752461066          0.752461066          0.752461066
#>  [5,]          0.002910314          0.002910314          0.002910314
#>  [6,]         -0.332795665         -0.332795665         -0.332795665
#>  [7,]         -0.151044047         -0.151044047         -0.151044047
#>  [8,]         -0.005174801         -0.005174801         -0.005174801
#>  [9,]         -0.016006877         -0.016006877         -0.016006877
#> [10,]          0.108479218          0.108479218          0.108479218
#>       6.57933224657568e-09 1.04761575278967e-08 1.66810053720006e-08
#>  [1,]          0.433902164          0.433902164          0.433902164
#>  [2,]         -0.259458032         -0.259458032         -0.259458032
#>  [3,]         -0.331969832         -0.331969832         -0.331969832
#>  [4,]          0.752461066          0.752461066          0.752461066
#>  [5,]          0.002910314          0.002910314          0.002910314
#>  [6,]         -0.332795665         -0.332795665         -0.332795665
#>  [7,]         -0.151044047         -0.151044047         -0.151044047
#>  [8,]         -0.005174801         -0.005174801         -0.005174801
#>  [9,]         -0.016006877         -0.016006877         -0.016006877
#> [10,]          0.108479218          0.108479218          0.108479218
#>       2.65608778294668e-08 4.2292428743895e-08 6.73415065775083e-08
#>  [1,]          0.433902164         0.433902164          0.433902164
#>  [2,]         -0.259458032        -0.259458032         -0.259458032
#>  [3,]         -0.331969832        -0.331969831         -0.331969831
#>  [4,]          0.752461066         0.752461066          0.752461065
#>  [5,]          0.002910314         0.002910314          0.002910314
#>  [6,]         -0.332795665        -0.332795665         -0.332795665
#>  [7,]         -0.151044047        -0.151044047         -0.151044047
#>  [8,]         -0.005174801        -0.005174801         -0.005174801
#>  [9,]         -0.016006877        -0.016006877         -0.016006877
#> [10,]          0.108479218         0.108479217          0.108479217
#>       1.07226722201032e-07 1.70735264747069e-07 2.71858824273294e-07
#>  [1,]          0.433902163          0.433902163          0.433902162
#>  [2,]         -0.259458032         -0.259458032         -0.259458032
#>  [3,]         -0.331969831         -0.331969831         -0.331969831
#>  [4,]          0.752461065          0.752461064          0.752461063
#>  [5,]          0.002910314          0.002910314          0.002910314
#>  [6,]         -0.332795665         -0.332795664         -0.332795664
#>  [7,]         -0.151044047         -0.151044047         -0.151044047
#>  [8,]         -0.005174801         -0.005174801         -0.005174802
#>  [9,]         -0.016006877         -0.016006878         -0.016006878
#> [10,]          0.108479217          0.108479217          0.108479216
#>       4.32876128108306e-07 6.8926121043497e-07 1.09749876549306e-06
#>  [1,]          0.433902161         0.433902159          0.433902155
#>  [2,]         -0.259458031        -0.259458031         -0.259458031
#>  [3,]         -0.331969830        -0.331969829         -0.331969828
#>  [4,]          0.752461061         0.752461058          0.752461053
#>  [5,]          0.002910313         0.002910313          0.002910312
#>  [6,]         -0.332795664        -0.332795663         -0.332795662
#>  [7,]         -0.151044047        -0.151044047         -0.151044047
#>  [8,]         -0.005174802        -0.005174802         -0.005174803
#>  [9,]         -0.016006878        -0.016006878         -0.016006879
#> [10,]          0.108479216         0.108479214          0.108479212
#>       1.74752840000768e-06 2.78255940220713e-06 4.43062145758388e-06
#>  [1,]          0.433902150          0.433902141          0.433902128
#>  [2,]         -0.259458030         -0.259458029         -0.259458027
#>  [3,]         -0.331969825         -0.331969821         -0.331969815
#>  [4,]          0.752461044          0.752461032          0.752461011
#>  [5,]          0.002910311          0.002910309          0.002910306
#>  [6,]         -0.332795660         -0.332795658         -0.332795654
#>  [7,]         -0.151044046         -0.151044046         -0.151044045
#>  [8,]         -0.005174804         -0.005174806         -0.005174809
#>  [9,]         -0.016006880         -0.016006881         -0.016006884
#> [10,]          0.108479209          0.108479204          0.108479196
#>       7.05480231071865e-06 1.12332403297803e-05 1.78864952905743e-05
#>  [1,]          0.433902106          0.433902072          0.433902018
#>  [2,]         -0.259458024         -0.259458020         -0.259458013
#>  [3,]         -0.331969806         -0.331969790         -0.331969766
#>  [4,]          0.752460979          0.752460927          0.752460844
#>  [5,]          0.002910301          0.002910293          0.002910281
#>  [6,]         -0.332795647         -0.332795637         -0.332795620
#>  [7,]         -0.151044044         -0.151044042         -0.151044039
#>  [8,]         -0.005174814         -0.005174822         -0.005174834
#>  [9,]         -0.016006888         -0.016006894         -0.016006903
#> [10,]          0.108479183          0.108479163          0.108479130
#>       2.8480358684358e-05 4.53487850812858e-05 7.22080901838546e-05
#>  [1,]         0.433901931          0.433901792          0.433901572
#>  [2,]        -0.259458002         -0.259457985         -0.259457956
#>  [3,]        -0.331969726         -0.331969664         -0.331969565
#>  [4,]         0.752460713          0.752460503          0.752460170
#>  [5,]         0.002910262          0.002910231          0.002910182
#>  [6,]        -0.332795594         -0.332795552         -0.332795485
#>  [7,]        -0.151044034         -0.151044026         -0.151044013
#>  [8,]        -0.005174854         -0.005174885         -0.005174934
#>  [9,]        -0.016006919         -0.016006943         -0.016006982
#> [10,]         0.108479078          0.108478995          0.108478864
#>       0.000114975699539774 0.000183073828029537 0.000291505306282518
#>  [1,]          0.433901222          0.433900663          0.433899775
#>  [2,]         -0.259457912         -0.259457841         -0.259457728
#>  [3,]         -0.331969407         -0.331969155         -0.331968755
#>  [4,]          0.752459639          0.752458794          0.752457448
#>  [5,]          0.002910103          0.002909979          0.002909780
#>  [6,]         -0.332795378         -0.332795209         -0.332794939
#>  [7,]         -0.151043993         -0.151043961         -0.151043910
#>  [8,]         -0.005175013         -0.005175138         -0.005175337
#>  [9,]         -0.016007044         -0.016007143         -0.016007301
#> [10,]          0.108478654          0.108478320          0.108477789
#>       0.000464158883361278 0.000739072203352578 0.001176811952435
#>  [1,]          0.433898359          0.433896106       0.433892517
#>  [2,]         -0.259457548         -0.259457261      -0.259456804
#>  [3,]         -0.331968117         -0.331967101      -0.331965484
#>  [4,]          0.752455305          0.752451893       0.752446460
#>  [5,]          0.002909464          0.002908960       0.002908158
#>  [6,]         -0.332794508         -0.332793823      -0.332792733
#>  [7,]         -0.151043829         -0.151043700      -0.151043495
#>  [8,]         -0.005175655         -0.005176161      -0.005176966
#>  [9,]         -0.016007551         -0.016007950      -0.016008586
#> [10,]          0.108476942          0.108475595       0.108473449
#>       0.00187381742286038 0.00298364724028334 0.00475081016210279
#>  [1,]         0.433886804         0.433877707         0.433863222
#>  [2,]        -0.259456077        -0.259454919        -0.259453075
#>  [3,]        -0.331962909        -0.331958810        -0.331952282
#>  [4,]         0.752437809         0.752424035         0.752402104
#>  [5,]         0.002906881         0.002904848         0.002901611
#>  [6,]        -0.332790996        -0.332788231        -0.332783829
#>  [7,]        -0.151043168        -0.151042647        -0.151041818
#>  [8,]        -0.005178248        -0.005180289        -0.005183539
#>  [9,]        -0.016009598        -0.016011210        -0.016013776
#> [10,]         0.108470032         0.108464592         0.108455930
#>       0.00756463327554629 0.0120450354025878 0.0191791026167248
#>  [1,]         0.433840161        0.433803445        0.433744994
#>  [2,]        -0.259450140       -0.259445466       -0.259438024
#>  [3,]        -0.331941889       -0.331925343       -0.331899002
#>  [4,]         0.752367185        0.752311591        0.752223087
#>  [5,]         0.002896458        0.002888253        0.002875191
#>  [6,]        -0.332776820       -0.332765660       -0.332747895
#>  [7,]        -0.151040497       -0.151038395       -0.151035048
#>  [8,]        -0.005188714       -0.005196954       -0.005210071
#>  [9,]        -0.016017861       -0.016024366       -0.016034722
#> [10,]         0.108442140        0.108420184        0.108385233
#>       0.0305385550883341 0.0486260158006535 0.0774263682681128
#>  [1,]        0.433651955        0.433503885        0.433268308
#>  [2,]       -0.259426177       -0.259407318       -0.259377299
#>  [3,]       -0.331857074       -0.331790348       -0.331684194
#>  [4,]        0.752082203        0.751857981        0.751501217
#>  [5,]        0.002854401        0.002821315        0.002768683
#>  [6,]       -0.332719615       -0.332674606       -0.332602994
#>  [7,]       -0.151029720       -0.151021239       -0.151007742
#>  [8,]       -0.005230952       -0.005264187       -0.005317074
#>  [9,]       -0.016051208       -0.016077451       -0.016119218
#> [10,]        0.108329602        0.108241075        0.108100246
#>       0.123284673944206 0.196304065004027 0.312571584968824 0.497702356433211
#>  [1,]       0.432893687       0.432298411       0.431353658       0.429857137
#>  [2,]      -0.259329529      -0.259253537      -0.259132719      -0.258940799
#>  [3,]      -0.331515396      -0.331247204      -0.330821634      -0.330147703
#>  [4,]       0.750933812       0.750032023       0.748600363       0.746331444
#>  [5,]       0.002685000       0.002552063       0.002341170       0.002007334
#>  [6,]      -0.332489101      -0.332308092      -0.332020737      -0.331565355
#>  [7,]      -0.150986269      -0.150952123      -0.150897867      -0.150811766
#>  [8,]      -0.005401201      -0.005534942      -0.005747358      -0.006084226
#>  [9,]      -0.016185670      -0.016291351      -0.016459296      -0.016725877
#> [10,]       0.107876345       0.107520681       0.106956512       0.106063601
#>       0.792482898353919 1.26185688306602 2.00923300256505 3.19926713779738
#>  [1,]       0.427493794     0.4237793726     0.4179850639      0.409050540
#>  [2,]      -0.258636365    -0.2581545275    -0.2573945876     -0.256202647
#>  [3,]      -0.329083880    -0.3274130468    -0.3248094727     -0.320801757
#>  [4,]       0.742745519     0.7371026999     0.7282834453      0.714644905
#>  [5,]       0.001480693     0.0006543569    -0.0006313642     -0.002606098
#>  [6,]      -0.330845696    -0.3297133441    -0.3279437402     -0.325207193
#>  [7,]      -0.150675398    -0.1504600912    -0.1501218299     -0.149594521
#>  [8,]      -0.006617195    -0.0074572509    -0.0087734641     -0.010816440
#>  [9,]      -0.017148240    -0.0178154344    -0.0188643857     -0.020501024
#> [10,]       0.104655381     0.1024468079     0.0990131341      0.093746716
#>       5.09413801481639 8.11130830789686 12.9154966501488 20.5651230834865
#>  [1,]      0.395515750      0.375546103       0.34718136       0.30894114
#>  [2,]     -0.254349216     -0.251505388      -0.24722939      -0.24098957
#>  [3,]     -0.314746660     -0.305849364      -0.29329056      -0.27651881
#>  [4,]      0.693893392      0.663080584       0.61892840       0.55873412
#>  [5,]     -0.005580173     -0.009931884      -0.01604523      -0.02418089
#>  [6,]     -0.321042311     -0.314851162      -0.30595098      -0.29372071
#>  [7,]     -0.148782455     -0.147555194      -0.14575297      -0.14321752
#>  [8,]     -0.013941139     -0.018612583      -0.02535844      -0.03461404
#>  [9,]     -0.023023670     -0.026837098      -0.03242793      -0.04024889
#> [10,]      0.085835329      0.074314826       0.05828065       0.03732522
#>       32.7454916287773 52.1400828799967 83.0217568131974 132.194114846603
#>  [1,]       0.26073839       0.20464992       0.14484793       0.08646813
#>  [2,]      -0.23226451      -0.22075258      -0.20665526      -0.19087144
#>  [3,]      -0.25567770      -0.23194665      -0.20745432      -0.18463517
#>  [4,]       0.48189344       0.39143503       0.29430520       0.19956702
#>  [5,]      -0.03431293      -0.04603249      -0.05860275      -0.07111835
#>  [6,]      -0.27784180      -0.25854737      -0.23674404      -0.21393389
#>  [7,]      -0.13986532      -0.13579919      -0.13139282      -0.12722734
#>  [8,]      -0.04643003      -0.06014597      -0.07433238      -0.08725995
#>  [9,]      -0.05046532      -0.06262565      -0.07552760      -0.08757838
#> [10,]       0.01210890      -0.01532451      -0.04197533      -0.06502979
#>       210.490414451202 335.160265093883 533.66992312063 849.753435908644
#>  [1,]       0.03406430     -0.009486898    -0.043285276      -0.06803584
#>  [2,]      -0.17487508     -0.160228341    -0.148024449      -0.13863873
#>  [3,]      -0.16536448     -0.150435266    -0.139638185      -0.13221069
#>  [4,]       0.11535090      0.046497766    -0.005937359      -0.04366326
#>  [5,]      -0.08267834     -0.092569644    -0.100430882      -0.10628560
#>  [6,]      -0.19193590     -0.172428627    -0.156477792      -0.14433783
#>  [7,]      -0.12384119     -0.121473107    -0.120025387      -0.11923009
#>  [8,]      -0.09766328     -0.105179517    -0.110186418      -0.11335442
#>  [9,]      -0.09750741     -0.104845820    -0.109842802      -0.11307055
#> [10,]      -0.08293562     -0.095649677    -0.104104647      -0.10950235
#>       1353.04777457981 2154.43469003189 3430.46928631491 5462.27721768434
#>  [1,]      -0.08534109      -0.09702829      -0.10472914       -0.1097186
#>  [2,]      -0.13185983      -0.12718448      -0.12406224       -0.1220220
#>  [3,]      -0.12727098      -0.12405631      -0.12199242       -0.1206784
#>  [4,]      -0.06966283      -0.08703393      -0.09839393       -0.1057169
#>  [5,]      -0.11042441      -0.11323888      -0.11510125       -0.1163111
#>  [6,]      -0.13561922      -0.12962460      -0.12562820       -0.1230193
#>  [7,]      -0.11882433      -0.11862559      -0.11852931       -0.1184820
#>  [8,]      -0.11530801      -0.11650311      -0.11723528       -0.1176861
#>  [9,]      -0.11509788      -0.11635707      -0.11713758       -0.1176223
#> [10,]      -0.11287783      -0.11497310      -0.11627305       -0.1170813
#>       8697.49002617783 13848.8637139387 22051.3073990304 35111.9173421513
#>  [1,]       -0.1129155       -0.1149490       -0.1162365       -0.1170491
#>  [2,]       -0.1207078       -0.1198690       -0.1193368       -0.1190004
#>  [3,]       -0.1198461       -0.1193206       -0.1189895       -0.1187812
#>  [4,]       -0.1103933       -0.1133614       -0.1152380       -0.1164215
#>  [5,]       -0.1170875       -0.1175818       -0.1178950       -0.1180928
#>  [6,]       -0.1213397       -0.1202681       -0.1195883       -0.1191587
#>  [7,]       -0.1184581       -0.1184455       -0.1184385       -0.1184346
#>  [8,]       -0.1179652       -0.1181388       -0.1182470       -0.1183148
#>  [9,]       -0.1179241       -0.1181126       -0.1182304       -0.1183043
#> [10,]       -0.1175852       -0.1179000       -0.1180971       -0.1182206
#>       55908.1018251222 89021.5085445039 141747.41629268 225701.971963392
#>  [1,]       -0.1175612       -0.1178834      -0.1180860       -0.1182134
#>  [2,]       -0.1187882       -0.1186547      -0.1185707       -0.1185178
#>  [3,]       -0.1186501       -0.1185678      -0.1185160       -0.1184835
#>  [4,]       -0.1171668       -0.1176356      -0.1179304       -0.1181156
#>  [5,]       -0.1182174       -0.1182958      -0.1183452       -0.1183762
#>  [6,]       -0.1188878       -0.1187173      -0.1186100       -0.1185426
#>  [7,]       -0.1184322       -0.1184308      -0.1184300       -0.1184294
#>  [8,]       -0.1183572       -0.1183838      -0.1184004       -0.1184109
#>  [9,]       -0.1183506       -0.1183796      -0.1183978       -0.1184093
#> [10,]       -0.1182980       -0.1183466      -0.1183771       -0.1183963
#>       359381.366380463 572236.765935022 911162.756115487 1450828.77849594
#>  [1,]       -0.1182934       -0.1183437       -0.1183753       -0.1183951
#>  [2,]       -0.1184847       -0.1184638       -0.1184507       -0.1184425
#>  [3,]       -0.1184631       -0.1184502       -0.1184422       -0.1184371
#>  [4,]       -0.1182320       -0.1183051       -0.1183510       -0.1183799
#>  [5,]       -0.1183957       -0.1184079       -0.1184156       -0.1184204
#>  [6,]       -0.1185002       -0.1184736       -0.1184568       -0.1184463
#>  [7,]       -0.1184291       -0.1184289       -0.1184288       -0.1184287
#>  [8,]       -0.1184175       -0.1184216       -0.1184242       -0.1184258
#>  [9,]       -0.1184165       -0.1184210       -0.1184238       -0.1184256
#> [10,]       -0.1184083       -0.1184158       -0.1184206       -0.1184236
#>       2310129.70008316 3678379.77182862 5857020.81805667 9326033.46883218
#>  [1,]       -0.1184075       -0.1184154       -0.1184203       -0.1184234
#>  [2,]       -0.1184373       -0.1184341       -0.1184320       -0.1184307
#>  [3,]       -0.1184339       -0.1184319       -0.1184307       -0.1184299
#>  [4,]       -0.1183980       -0.1184094       -0.1184165       -0.1184210
#>  [5,]       -0.1184235       -0.1184254       -0.1184266       -0.1184273
#>  [6,]       -0.1184397       -0.1184356       -0.1184330       -0.1184313
#>  [7,]       -0.1184287       -0.1184286       -0.1184286       -0.1184286
#>  [8,]       -0.1184269       -0.1184275       -0.1184279       -0.1184282
#>  [9,]       -0.1184267       -0.1184274       -0.1184278       -0.1184281
#> [10,]       -0.1184254       -0.1184266       -0.1184273       -0.1184278
#>       14849682.6225447 23644894.1264541 37649358.0679246 59948425.0318942
#>  [1,]       -0.1184253       -0.1184265       -0.1184273       -0.1184278
#>  [2,]       -0.1184299       -0.1184294       -0.1184291       -0.1184289
#>  [3,]       -0.1184294       -0.1184291       -0.1184289       -0.1184288
#>  [4,]       -0.1184238       -0.1184256       -0.1184267       -0.1184274
#>  [5,]       -0.1184278       -0.1184281       -0.1184283       -0.1184284
#>  [6,]       -0.1184303       -0.1184297       -0.1184293       -0.1184290
#>  [7,]       -0.1184286       -0.1184286       -0.1184286       -0.1184286
#>  [8,]       -0.1184283       -0.1184284       -0.1184285       -0.1184285
#>  [9,]       -0.1184283       -0.1184284       -0.1184285       -0.1184285
#> [10,]       -0.1184281       -0.1184283       -0.1184284       -0.1184285
#>       95454845.6661833 151991108.295293 242012826.479438 385352859.371052
#>  [1,]       -0.1184281       -0.1184283       -0.1184284       -0.1184285
#>  [2,]       -0.1184288       -0.1184287       -0.1184287       -0.1184286
#>  [3,]       -0.1184287       -0.1184287       -0.1184286       -0.1184286
#>  [4,]       -0.1184278       -0.1184281       -0.1184283       -0.1184284
#>  [5,]       -0.1184285       -0.1184285       -0.1184285       -0.1184285
#>  [6,]       -0.1184288       -0.1184287       -0.1184287       -0.1184286
#>  [7,]       -0.1184286       -0.1184286       -0.1184286       -0.1184286
#>  [8,]       -0.1184285       -0.1184286       -0.1184286       -0.1184286
#>  [9,]       -0.1184285       -0.1184286       -0.1184286       -0.1184286
#> [10,]       -0.1184285       -0.1184285       -0.1184285       -0.1184286
#>       613590727.341319 977009957.299225 1555676143.93047 2477076355.99171
#>  [1,]       -0.1184285       -0.1184285       -0.1184285       -0.1184286
#>  [2,]       -0.1184286       -0.1184286       -0.1184286       -0.1184286
#>  [3,]       -0.1184286       -0.1184286       -0.1184286       -0.1184286
#>  [4,]       -0.1184285       -0.1184285       -0.1184285       -0.1184286
#>  [5,]       -0.1184286       -0.1184286       -0.1184286       -0.1184286
#>  [6,]       -0.1184286       -0.1184286       -0.1184286       -0.1184286
#>  [7,]       -0.1184286       -0.1184286       -0.1184286       -0.1184286
#>  [8,]       -0.1184286       -0.1184286       -0.1184286       -0.1184286
#>  [9,]       -0.1184286       -0.1184286       -0.1184286       -0.1184286
#> [10,]       -0.1184286       -0.1184286       -0.1184286       -0.1184286
#>       3944206059.43765 6280291441.83427      1e+10
#>  [1,]       -0.1184286       -0.1184286 -0.1184286
#>  [2,]       -0.1184286       -0.1184286 -0.1184286
#>  [3,]       -0.1184286       -0.1184286 -0.1184286
#>  [4,]       -0.1184286       -0.1184286 -0.1184286
#>  [5,]       -0.1184286       -0.1184286 -0.1184286
#>  [6,]       -0.1184286       -0.1184286 -0.1184286
#>  [7,]       -0.1184286       -0.1184286 -0.1184286
#>  [8,]       -0.1184286       -0.1184286 -0.1184286
#>  [9,]       -0.1184286       -0.1184286 -0.1184286
#> [10,]       -0.1184286       -0.1184286 -0.1184286