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Supervised Penalized Canonical Correlation Analysis

Andrea Thum, Lore Westphal, Tilo L├╝bken, Sabine Rosahl, Steffen Neumann and Stefan Posch

spCCA is an R-package for a supervised penalized canonical correlation
analysis that uses two data matrices and one experimental design data
matrix to compute explainable canonical variables. It uses an elastic
net approach for a sparse solution for strong regularized data matrices.

Supplementary material :