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), which seeks the maximize the proportion of variance (in the response vector) being explained by a set of covariates.
|Author||Maxime Turgeon [aut, cre], Aurelie Labbe [aut], Karim Oualkacha [aut]|
|Date of publication||2016-12-05 18:28:47|
|Maintainer||Maxime Turgeon <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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