PLS Predict: A technique to determine the predictive quality of the PLS path model.Prediction-oriented segmentation (POS): An approach to identify groups of data.Finite mixture (FIMIX) segmentation: A latent class approach identifies and treats unobserved heterogeneity in path models.Confirmatory tetrad analysis (CTA): A statistical technique that allows for empirical testing of the measurement model setup.Nonlinear relationships: Estimation of quadratic effects and their bootstrap-based significance testing.Moderation: Estimation of interaction effects and their bootstrap-based significance testing.Mediation: Estimation of indirect effects and their bootstrap-based significance testing.PLS multi-group analysis (MGA): Analyses the difference and significance of group-specific PLS path model estimations.

Blindfolding Importance-performance map analysis (IPMA).

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