pcr.model {pls.pcr}R Documentation

PCR model building

Description

Function does the actual model building in PCR regression. Y is regressed on Principal Component scores. This function should not be called directly: the pcr function is meant for that.

Usage

pcr.model(X, Y, ncomp, newX)

Arguments

X a matrix of observations. NAs and Infs are not allowed.
Y a matrix of responses. NAs and Infs are not allowed.
ncomp the number of latent variables to be used in the modelling. The default number of latent variables is the smallest of the number of objects or the number of variables in X.
newX optional new measurements: if present, predictions will be made for them.

Value

A list containing the following components is returned:

B an array of regression coefficients for all items in ncomp. The dimensions of B are c(nvar, npred, length(ncomp)) with nvar the number of X variables and npred the number of variables to be predicted in Y.
XvarExpl coeff. of determination (X).
Ypred predictions for newX (if asked).

See Also

mvr pcr


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