predict.MBPLS: Prediction from MBPLS models

In MBAnalysis: Multiblock Exploratory and Predictive Data Analysis

Prediction from MBPLS models

Description

Computes predictions of Y from MBPLS using calibration X (default) or new X observations.

Usage

## S3 method for class 'MBPLS'
predict(object, newdata = object$call$X, ncomp = object$call$ncomp, ...)

Arguments

object	An object resulting from MBPLS.
newdata	A matrix or data.frame of (new) observations having the same ncol and same colnames as the X of fitting observations.
ncomp	The number of components to be considered in the model to perform the predictions. By default, all components computed in MBPLS are considered.
...	further arguments passed to or from other methods.

Value

A matrix of predicted Y values where each row corresponds to an observation and each column corresponds to a Y variable.

See Also

Beta MBValidation

Examples

data(ham)
X=ham$X
block=ham$block
Y=ham$Y
res.mbpls <- MBPLS(X, Y, block, name.block = names(block))
predict(res.mbpls)

MBAnalysis documentation built on Oct. 24, 2023, 5:07 p.m.