Description Usage Arguments Details Value See Also Examples
The function predict.gsi
generates predicted multivariate output for user-specified combinations of levels of the input factors.
1 2 |
object |
Object of class gsi. |
newdata |
An optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used. need to be same factors and levels as for obtained the gsi object. |
... |
others parameters |
Only available if the gsi
object was obtained with analysis.anoasg and analysis.args$keep.outputs=TRUE.
a data.frame of predicted values for newdata
gsi
, multisensi
, analysis.anoasg
1 2 3 4 5 6 7 |
[*] Dimension Reduction
[*] Analysis + Sensitivity Indices
[*] Goodness of fit computing
Y10 Y20 Y30 Y40 Y50 Y60 Y70
[1,] 0.1252511 0.5515546 1.664603 3.262706 5.183573 7.265539 11.5204584
[2,] 0.0915475 0.4639582 1.659556 3.730320 6.548417 10.496329 20.5198688
[3,] -0.1812535 -0.7075716 -1.764164 -2.787954 -3.560857 -3.135364 0.6087779
Y80 Y90 Y100 Y110 Y120 Y130 Y140 Y150
[1,] 17.267211 25.00869 32.97684 51.46193 73.42998 116.6996 153.8485 199.1266
[2,] 36.155398 61.36540 91.17915 162.19081 244.99189 388.1938 501.7553 641.9459
[3,] 8.911531 27.16796 54.50055 129.64672 225.85216 401.1542 544.3384 725.1009
Y160 Y170 Y180 Y190 Y200 Y210 Y220
[1,] 253.6502 322.0202 385.4728 443.3714 503.0744 562.8465 618.6281
[2,] 816.6826 1058.1355 1292.1317 1514.9073 1745.8522 1987.1443 2216.4508
[3,] 954.5670 1279.8871 1597.8888 1906.1419 2231.7531 2578.1131 2917.2632
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