predict.prcomp
Principal Component Scores
Description
Calculates a matrix of the scores for the principal components.
Usage
predict.prcomp(object, newdata, ... )
Arguments
| object |
an object of class prcomp.
|
| newdata |
a matrix or data frame of numeric data. The column names must include the variables used to compute object.
|
Details
This is the prcomp method for the generic function predict.
Value
returns a matrix of principal component scores.
See Also
Examples
wafer.pc <- prcomp(~ pre.mean + post.mean + pre.dev + post.dev,
data=Sdatasets::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)