sRDA: Sparse Redundancy Analysis
Sparse redundancy analysis
for high dimensional (biomedical) data. Directional multivariate analysis
to express the maximum variance in the predicted data set by a linear
combination of variables of the predictive data set. Implemented in a
partial least squares framework, for more details see Csala et al. (2017) <doi:10.1093/bioinformatics/btx374>.
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