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 


Maintainer  
License  GPL (>=2) 
Version  2.2.2 
URL  http://github.com/GreenwoodLab/pcev 
Package repository  View on GitHub 
Installation 
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