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
