Hello.
I ran a PCA analysis on a dataset with 5 variables and retained two
components. I rotated them and now I want to predict the scores in a new
data set for which the original variables are available.
I normally use the predict.prcomp() function to predict using a prcomp
object. For example..
PC1=predict(data.pca, new.data)[,1]
...will predict the first component in the new dataset.
But how to do it with the rotated components/loadings, since after
varimax() we don't have a prcomp object anymore?
Thanks in advance!
David
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