RGCCA: Regularized and Sparse Generalized Canonical Correlation
Analysis for Multi-Block Data
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.
||Arthur Tenenhaus and Vincent Guillemot
||Arthur Tenenhaus <arthur.tenenhaus at centralesupelec.fr>
||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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