![]() ![]() Introductory Tutorial on XLSTAT-PLSPM with Case Studies.Hierarchical PLS-PM and the super-block option.Principal Component Analysis, Tucker’s Inter-battery Analysis, Canonical Correlation Analysis, PLS Regression, Redundancy Analysis.PLS Algorithm for the case of one and two blocks:.PLS algorithm for computing Latent Variable Scores.Structural (Inner) Model Specification and Estimation Schemes (Centroid – Factorial – Path Weighting Schemes).Measurement (Outer) Model Specification and Estimation Modes (Reflective vs.PLS Path Modeling algorithm for model estimation:.Covariance-based and Component-based apporaches. ![]() Introduction to Structural Equation Modeling.The training session will be illustrated by applications using XLSTAT.ĭAY 1: Algorithm, Estimation and Practice A methodology to interpret results will then be suggested on the basis of real life cases. After a return to the origins of structural equation modeling (SEM), the PLSPM algorithm will be presented. ![]()
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