Principal Component Scores

DESCRIPTION:

Returns a matrix of the scores for the principal components.

USAGE:

predict.princomp(object, newdata=NULL) 

REQUIRED ARGUMENTS:

object
object of class "princomp".

OPTIONAL ARGUMENTS:

newdata
matrix or data frame of numeric data. The column names must include the variables used to compute object.

VALUE:

matrix of principal component scores.

DETAILS:

This is the "princomp" method for the generic function predict.

SEE ALSO:

, .

EXAMPLES:

wafer.pc <- princomp(~pre.mean + post.mean + pre.dev + post.dev, 
               data=wafer) 
hyp.data <- data.frame(pre.mean=c(2,3), post.mean=c(2,3), 
                 post.dev=c(.2,.3), pre.dev=c(.1,.2)) 
predict(wafer.pc, hyp.data)