I was trying to analyze my data by doing a linear discriminants and I encountered
problems with collinearity. So I am planning to do a PCA to extract orthogonal
components and then analyze them using linear discriminants. I don't know
how to relate the orthogonal components back to my real data. Is there some
way I can do this and are there any methods in R that will help me ?
Many thanks. Cheers ../Murli
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