Dear R buddies,
I’m trying to run Principal Component Analysis, package
princomp: http://stat.ethz.ch/R-manual/R-patched/library/stats/html/princomp.html. 
My question is: why do I get different results with pca =
princomp (x, cor = TRUE) and pca = princomp (x, cor = FALSE) even when I
standardize variables in my matrix?
Best regards,
Blaž Simčič
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