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A transparent and modular implementation of Partial Least Squares Structural Equation Modeling (PLS-SEM) focused on reflective measurement models (Mode A). The package separates estimation, bootstrap inference, and predictive evaluation into independent components, emphasising algorithmic transparency, reproducibility, and researcher-controlled analysis. Methods are based on Tenenhaus, Esposito Vinzi, Chatelin & Lauro (2005) <doi:10.1016/j.csda.2004.03.005>, Hair, Risher, Sarstedt & Ringle (2019) <doi:10.1108/EBR-11-2018-0203>, and Henseler, Ringle & Sarstedt (2015) <doi:10.1007/s11747-014-0403-8>.
| Version: | 1.3.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | stats, graphics, grDevices |
| Suggests: | knitr, rmarkdown |
| Published: | 2026-08-09 |
| DOI: | 10.32614/CRAN.package.PLSsemEngine |
| Author: | Manuel Soto-Perez [aut, cre] |
| Maintainer: | Manuel Soto-Perez <msoto at up.edu.mx> |
| License: | MIT + file LICENSE |
| URL: | https://github.com/msoto-perez/PLSsemEngine |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | PLSsemEngine results |
| Reference manual: | PLSsemEngine.html , PLSsemEngine.pdf |
| Vignettes: |
Introduction to PLSsemEngine (source, R code) |
| Package source: | PLSsemEngine_1.3.0.tar.gz |
| Windows binaries: | r-devel: PLSsemEngine_1.3.0.zip, r-release: PLSsemEngine_1.3.0.zip, r-oldrel: PLSsemEngine_1.3.0.zip |
| macOS binaries: | r-release (arm64): PLSsemEngine_1.3.0.tgz, r-oldrel (arm64): PLSsemEngine_1.3.0.tgz, r-release (x86_64): PLSsemEngine_1.3.0.tgz, r-oldrel (x86_64): PLSsemEngine_1.3.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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