semPLS: Structural Equation Modeling Using Partial Least Squares

Fits structural equation models using partial least squares (PLS). The PLS approach is referred to as 'soft-modeling' technique requiring no distributional assumptions on the observed data.

Version: 1.0-10
Depends: lattice (≥ 0.20-5)
Suggests: XML, boot, sem, matrixcalc
Published: 2013-01-21
Author: Armin Monecke [aut, cph, cre], Friedrich Leisch [aut, ths]
Maintainer: Armin Monecke <armin.monecke at stat.uni-muenchen.de>
License: GPL-2
NeedsCompilation: no
Citation: semPLS citation info
Materials: NEWS
In views: Psychometrics
CRAN checks: semPLS results

Downloads:

Reference manual: semPLS.pdf
Vignettes: semPLS: Structural Equation Modeling Using Partial Least Squares
Package source: semPLS_1.0-10.tar.gz
Windows binaries: r-devel: semPLS_1.0-10.zip, r-release: semPLS_1.0-10.zip, r-oldrel: semPLS_1.0-10.zip
macOS binaries: r-release: semPLS_1.0-10.tgz, r-oldrel: semPLS_1.0-10.tgz
Old sources: semPLS archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=semPLS to link to this page.