mvdalab-package-title: Multivariate Data Analysis Laboratory (mvdalab)

Description Details Author(s)


Implementation of latent variables methods. The focus is on explorative anlaysis using dimensionality reduction methods, such as Principal Component Analysis (PCA), and on multivariate regression based on Partial Least Squares regression (PLS). PLS analyses are supported by embedded bootstrapping and variable selection procedures.


Package: mvdalab
Type: Package
Version: 1.0
Date: 2015-08-10
License: GPL-3


Nelson Lee Afanador ([email protected]), Thanh Tran ([email protected]), Lionel Blanchet ([email protected]), Richard Baumgartner ([email protected])

Maintainer: Nelson Lee Afanador ([email protected])

mvdalab documentation built on Nov. 17, 2017, 6 a.m.