Sparse Redundancy Analysis R package sRDA version 1.0.0 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>. Software Depends: R (>= 2.7), Matrix, doParallel, elasticnet, foreach, mvtnorm Attila Csala <a@csala.me> Comprehensive R Archive Network (CRAN) Attila Csala [aut, cre], Koos Zwinderman [ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=sRDA/LICENSE) 2017-12-14 application/tgz https://CRAN.R-project.org/package=sRDA doi:10.32614/CRAN.package.sRDA