Package: pcev
Title: Principal Component of Explained Variance
Version: 1.1.1
Authors@R: c(
  person("Maxime", "Turgeon", email = "maxime.turgeon@mail.mcgill.ca",
  role = c("aut", "cre")),
  person("Aurelie", "Labbe",
  role = c("aut")),
  person("Karim", "Oualkacha",
  role = c("aut")))
Description: 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.
Depends: R (>= 3.0.0)
Imports: RMTstat, stats
License: GPL (>= 2)
LazyData: true
URL: http://github.com/GreenwoodLab/pcev
BugReports: http://github.com/GreenwoodLab/pcev/issues
Suggests: knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-12-05 15:02:20 UTC; hornik
Author: Maxime Turgeon [aut, cre],
  Aurelie Labbe [aut],
  Karim Oualkacha [aut]
Maintainer: Maxime Turgeon <maxime.turgeon@mail.mcgill.ca>
Repository: CRAN
Date/Publication: 2016-12-05 18:28:47
