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Principal Component Regression Analysis

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 Variables