Version 3.3.5, released 2021-12-20

• Fixed: Deadlocks occurred on some computers during save operations.

Version 3.3.4, released 2021-12-16

• Fixed: Log4J Vulnerability fix. Log4J updated to a patched version (2.16.0)
• Improved: Upgraded internal libraries.

SmartPLS is the workhorse for all PLS-SEM analyses – for beginners as well as experts

Here is our (constantly growing) list of all available calculation methods. Relevant innovative algorithms will also be made available in SmartPLS within a short time. We promise.

• Partial least squares (PLS) path modeling
• Ordinary least squares (OLS) regression based on sumscores
• Consistent PLS (PLSc)
• Weighted PLS (WPLS), weighted OLS (WOLS) and weighted consistent PLS (WPLSc)
• Bootstrapping and the use of advanced bootstrapping options
• Blindfolding
• Importance-performance map analysis (IPMA)
• PLS multi-group analysis (MGA): Analyses the difference and significance of group-specific PLS path model estimations
• Higher-order Models
• Mediation: Estimation of indirect effects and their bootstrap-based significance testing
• Moderation: Estimation of interaction effects and their bootstrap-based significance testing
• Nonlinear relationships: Estimation of quadratic effects and their bootstrap-based significance testing
• Confirmatory tetrad analysis (CTA): A statistical technique which allows for empirical testing the measurement model setup
• Finite mixture (FIMIX) segmentation: A latent class approach which allows identifying and treating unobserved heterogeneity in path models
• Prediction-oriented segmentation (POS): An approach to identify groups of data
• PLS Predict: A technique to determine the predictive quality of the PLS path model
• Prediction-oriented model selection