PLSsemEngine: Transparent PLS-SEM Estimation for Composite-Based Reflective Models

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

Documentation:

Reference manual:	PLSsemEngine.html , PLSsemEngine.pdf
Vignettes:	Introduction to PLSsemEngine (source, R code)

Downloads:

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

Linking:

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