RGCCA (2.1)

Regularized and Sparse Generalized Canonical Correlation Analysis for Multi-Block Data.

http://cran.r-project.org/web/packages/RGCCA

Multi-block data analysis concerns the analysis of several sets of variables (blocks) observed on the same group of individuals. The main aims of the RGCCA package are: (i) to study the relationships between blocks and (ii) to identify subsets of variables of each block which are active in their relationships with the other blocks.

Maintainer: Arthur Tenenhaus
Author(s): Arthur Tenenhaus and Vincent Guillemot

License: GPL (>= 2)

Uses: MASS

Released about 3 years ago.