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

Description Details Author(s)

Description

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.

Details

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

Author(s)

Nelson Lee Afanador (nelson.afanador@mvdalab.com), Thanh Tran (thanh.tran@mvdalab.com), Lionel Blanchet (lionel.blanchet@mvdalab.com), Richard Baumgartner (richard_baumgartner@merck.com)

Maintainer: Nelson Lee Afanador (nelson.afanador@mvdalab.com)


mvdalab documentation built on May 30, 2017, 2:40 a.m.