matrixpls: Matrix-based Partial Least Squares estimation

matrixpls is implements Partial Least Squares Path Modeling algorithm and related algorithms. The algorithm implementations aim for computational efficiency using matrix algebra and covariance data. The package is designed toward Monte Carlo simulations and includes functions to perform simple Monte Carlo simulations.

Version: 0.5.0
Imports: assertive, matrixcalc, lavaan, psych, MASS
Suggests: plspm, simsem, RUnit, parallel, semPLS, boot, ASGSCA, RGCCA, Matrix
Published: 2014-11-29
Author: Mikko Rönkkö [aut, cre]
Maintainer: Mikko Rönkkö <mikko.ronkko at>
License: GPL-3
NeedsCompilation: no
Citation: matrixpls citation info
Materials: NEWS
CRAN checks: matrixpls results


Reference manual: matrixpls.pdf
Package source: matrixpls_0.5.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: matrixpls_0.5.0.tgz, r-oldrel: matrixpls_0.5.0.tgz
OS X Mavericks binaries: r-release: matrixpls_0.5.0.tgz
Old sources: matrixpls archive