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PLSsemEngine  

Transparent PLS-SEM Estimation for Composite-Based Reflective Models
View on CRAN: Click here


Download and install PLSsemEngine package within the R console
Install from CRAN:
install.packages("PLSsemEngine")

Install from Github:
library("remotes")
install_github("cran/PLSsemEngine")

Install by package version:
library("remotes")
install_version("PLSsemEngine", "1.3.0")



Attach the package and use:
library("PLSsemEngine")
Maintained by
Manuel Soto-Perez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-09
Latest Update: 2026-08-09
Description:
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>.
How to cite:
Manuel Soto-Perez (2026). PLSsemEngine: Transparent PLS-SEM Estimation for Composite-Based Reflective Models. R package version 1.3.0, https://cran.r-project.org/web/packages/PLSsemEngine. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for PLSsemEngine
Functions, R codes and Examples using the PLSsemEngine R package
Full PLSsemEngine package functions and examples
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