Introduction | Setup | Data | Measurement model description | Specifying measurement models with constructs | Describe individual constructs as composite or reflective | Converting composite models into reflective models | Specifying construct measurement items | Item associations (CBSEM only) | Interaction terms | Structural model description | Specify structural model of relationships between constructs | Specify structural paths with | Model Estimation | Consistent PLS (PLSc) estimation for common factors | Bootstrapping PLS models for significance | Reporting the model estimation results | Reporting the estimated model | Reporting results of a bootstrapped PLS | Reporting confidence intervals for direct and mediated bootstrapped structural paths | Reporting data descriptive statistics and construct descriptive statistics | Prediction and cross-validation (PLSpredict) | Single holdout prediction | Cross-validated prediction with predict_pls() | Parallelization | Plotting models | References

Functions | The demo files for Hair et al. (2026) | The Example model: Corporate Reputation | Example | First, conduct CVPAT analysis of the established model. | Combined Importance-Performance Map Analysis (cIPMA) | Necessary Condition Analysis (NCA) | NCA-ESSE: Effect Size Sensitivity Extension | Composite Overfit Analysis (COA) | Confirmatory Tetrad Analysis (CTA-PLS) | Unobserved Heterogeneity (FIMIX-PLS and PLS-POS) | FIMIX-PLS (Finite Mixture PLS) | PLS-POS (Prediction-Oriented Segmentation) | Predictive Contribution of the Mediator (PCM) | Congruence Testing | References