PLS-SEM Toolbox
Structural Equation Model through Partial Least Squares approach (PLS-SEM)
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The PLS-SEM Toolbox provides the capability to estimate Structural Equation Models with Partial Least Squares algorithm (SEM-PLS, PLS-SEM or PLS Path Modeling).
Different setups for estimation of factor scores and weighting schemes can be used. Moreover, it comprises modular routines for computation of bootstrap confidence intervals, model parameters and several quality indices.
Numerous graphical outputs help to assess the model.
A well-known mobile phone dataset from marketing research is analyzed in the example to show the main characteristics of the toolbox.
Cite As
Massimo Aria (2026). PLS-SEM Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/54147-pls-sem-toolbox), MATLAB Central File Exchange. Retrieved .
General Information
- Version 2.4 (1.16 MB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 2.4 | update notes in the changelog file |
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| 2.3.0.0 | Some minor fixes |
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| 2.2.0.0 | - Added the function SMDesign_gui to draw the structural model using a GUI |
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| 2.1.0.0 | Added a new function plspm_publish.m.
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| 2.0.0.0 | New features:
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| 1.3.1.0 | Increased bootstrap speed. |
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| 1.3.0.0 | Some improvements:
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| 1.2.1.0 | Updated the ECSI example |
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| 1.2.0.0 | Corrected a bug in path_graph.m function |
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| 1.1.0.0 | Corrected a bug in path_graph.m function |
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| 1.0.0.0 |
