Principal Component Regression Analysis (PCR) is a method that get principal componets by Principal Component Analysis and analyze them by Multi-Regression Analysis .
Because of orthogonality of principal components, we need not take care of orthogonality of variables in regression analysis.
Examples of R is in the page, Principal component regression analysis by R.
Principal Component MT
Analysis Using Intermediate Layer
NEXT Selection of VariablesTweet