Practical SmartPLS 4 regression course with results assessment, bootstrapping, PLS-SEM evaluation, and reporting templates.

This project is a Python implementation of PLS-SEM (Partial Least Squares Structural Equation Modeling) built using Streamlit.

Two PLS-SEM studies on Coca-Cola purchase intention using primary survey data in SmartPLS, covering measurement and structural models, bootstrapping, and mediation analysis.