predict.gsi: A function to predict multivariate output

In multisensi: Multivariate Sensitivity Analysis

A function to predict multivariate output

Description

The function predict.gsi generates predicted multivariate output for user-specified combinations of levels of the input factors.

Usage

## S3 method for class 'gsi'
predict(object, newdata, ...)

Arguments

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

Details

Only available if the gsi object was obtained with analysis.anoasg and analysis.args$keep.outputs=TRUE.

Value

a data.frame of predicted values for newdata

See Also

gsi, multisensi, analysis.anoasg

Examples

  data(biomasseX)
  data(biomasseY)
  x=multisensi(design=biomasseX,model=biomasseY,basis=basis.ACP,
               analysis=analysis.anoasg,
               analysis.args=list(formula=2, keep.outputs=TRUE))
  newdata=as.data.frame(apply(biomasseX,2,unique))
  predict(x,newdata)

multisensi documentation built on Aug. 20, 2026, 1:08 a.m.