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plssem
View on CRAN: Click
here
Download and install plssem package within the R console
Install from CRAN:
install.packages("plssem")
Install from Github:
library("remotes")
install_github("cran/plssem") Install by package version:
library("remotes")
install_version("plssem", "0.1.0") Attach the package and use:
library("plssem")
Maintained by
Kjell Solem Slupphaug
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-23
Latest Update: 2026-03-23
Description:
Estimate complex Structural Equation Models (SEMs) by fitting Partial Least Squares Structural Equation Modeling (PLS-SEM) and Partial Least Squares consistent Structural Equation Modeling (PLSc-SEM) specifications that handle categorical data, non-linear relations, and multilevel structures. The implementation follows Lohmöller (1989) for the classic PLS-SEM algorithm, Dijkstra and Henseler (2015) for consistent PLSc-SEM, Dijkstra et al., (2014) for nonlinear PLSc-SEM, and Schuberth, Henseler, Dijkstra (2018) for ordinal PLS-SEM and PLSc-SEM. Additional extensions are under development. References: Lohmöller, J.-B. (1989, ISBN:9783790803002). "Latent Variable Path Modeling with Partial Least Squares." Dijkstra, T. K., & Henseler, J. (2015). <doi:10.1016/j.jmva.2015.06.002>. "Consistent partial least squares path modeling." Dijkstra, T. K., & Schermelleh-Engel, K. (2014). <doi:10.1016/j.csda.2014.07.008>. "Consistent partial least squares for nonlinear structural equation models." Schuberth, F., Henseler, J., & Dijkstra, T. K. (2018). <doi:10.1007/s11135-018-0767-9>. "Partial least squares path modeling using ordinal categorical indicators."
How to cite:
Kjell Solem Slupphaug (2026). plssem: Complex Partial Least Squares Structural Equation Modeling. R package version 0.1.0, https://cran.r-project.org/web/packages/plssem. Accessed 30 Jul. 2026.
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