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 |
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Maintainer | |
License | GPL (>=2) |
Version | 2.2.2 |
URL | http://github.com/GreenwoodLab/pcev |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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