SmartPLS 是所有 PLS-SEM 分析的主力 - 適合初學者和專家

這是所有可用計算方法的列表。相關的創新算法也將在短時間內在 SmartPLS 中提供。

• 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