Dear list,
I am trying to use a PCA to predict new dataset, I know how to get the
variance explained for the original PCA, but how could I get the
percent of variance explained by each axis for this new PCA ordination?
Thanks a lot.
x1 <- matrix(rnorm(30), 6, 5)
x2 <- matrix (rnorm(40), 8, 5)
pca1<-prcomp(x1, retx=TRUE)
pca1$sdev
pred <- predict(pca1, x2)
Feng Liu
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