pcev (1.1.1)

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Principal Component of Explained Variance.


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.

Maintainer: Maxime Turgeon
Author(s): Maxime Turgeon [aut, cre], Aurelie Labbe [aut], Karim Oualkacha [aut]

License: GPL (>= 2)

Uses: RMTstat, knitr

Released over 1 year ago.



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