Complex Partial Least Squares Structural Equation Modeling R package plssem version 0.1.0 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." Software Depends: R (>= 4.1.0) Imports: stats, modsem (>= 1.0.17), lme4, lavaan, cli, stringr, purrr, matrixStats, SimDesign, Rfast, collapse, mvnfast, reformulas Suggests: knitr, rmarkdown Kjell Solem Slupphaug <slupphaugkjell@gmail.com> Comprehensive R Archive Network (CRAN) Kjell Solem Slupphaug [aut, cre] (ORCID: <https://orcid.org/0009-0005-8324-2834>) GPL-3 2026-03-23 application/tgz https://CRAN.R-project.org/package=plssem doi:10.32614/CRAN.package.plssem