mbclusterwise (version 1.0)

cw.predict: Prediction procedure for clusterwise multiblock analyses

Description

Function to perform the prediction of new observations by means of clusterwise multiblock analysis

Usage

cw.predict(Xnew, res.cw)

Arguments

Xnew

a data frame containing new observation values for the explanatory variables

res.cw

a list of results created by the function cw.multiblock

Value

References

Bougeard, S., Abdi, H., Saporta, G., Niang, N., Submitted, Clusterwise analysis for multiblock component methods.

See Also

cw.multiblock, cw.tenfold

Examples

  data(simdata.red) 
  Data.X      <- simdata.red[c(1:10, 21:30), 1:10]
  Data.Y      <- simdata.red[c(1:10, 21:30), 11:13]
  Data.X.test <- simdata.red[c(16:20, 36:40), 1:10]
  ## Note that the options (INIT=2) and (parallel.level = "low") are chosen to quickly
  ## illustrate the function. 
  ## For real data, instead choose (INIT=20) to avoid local optima and (parallel.level = "high")
  ## to improve the computing speed.
  res.cw      <- cw.multiblock(Y = Data.Y, X = Data.X, blo = c(5, 5), option = "none", G = 2,
                  H = 1, INIT = 2, method = "mbpls", Gamma = NULL, parallel.level = "low")
  rescw.pred  <- cw.predict(Data.X.test, res.cw)