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Principal component of explained variance (PCEV) is a statistical tool for the analysis of a multivariate response vector. It is a dimension reduction technique, similar to Principal component analysis (PCA), that seeks to maximize the proportion of variance (in the response vector) being explained by a set of covariates.
Package details 


Author  Maxime Turgeon [aut, cre], Aurelie Labbe [aut], Karim Oualkacha [aut], Stepan Grinek [aut] 
Maintainer  Maxime Turgeon <maxime.turgeon@mail.mcgill.ca> 
License  GPL (>= 2) 
Version  2.2.2 
URL  http://github.com/GreenwoodLab/pcev 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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