PLS-SEM Toolbox

Structural Equation Model through Partial Least Squares approach (PLS-SEM)

Version 2.4.0 (1.18 MB)
4.3K Downloads
(2)
19 Feb 2016
Download

  • Install in MATLAB

    Requires R2026b and later. Learn more
Download

  • Install in MATLAB

    Requires R2026b and later. Learn more

You are now following this Submission

Cite As

Massimo Aria (2026). PLS-SEM Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/54147-pls-sem-toolbox), MATLAB Central File Exchange. Retrieved .

Categories

Find more on Conditional Mean Models in Help Center and MATLAB Answers

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Open in new tab
Version Published Release Notes
2.4.0

update notes in the changelog file
Download

  • Install in MATLAB

    Requires R2026b and later. Learn more
2.3.0

Some minor fixes
Download

  • Install in MATLAB

    Requires R2026b and later. Learn more
2.2.0

- Added the function SMDesign_gui to draw the structural model using a GUI
Download

  • Install in MATLAB

    Requires R2026b and later. Learn more
2.1.0

Added a new function plspm_publish.m.
The function generates report of results in several formats (html, doc, ppt, xls, etc.)
Download

  • Install in MATLAB

    Requires R2026b and later. Learn more
2.0.0

New features:
-Overall model assessment: SRMR, TLI, FLI
-Heterotrait-Monotrait ratio of correlations (HTMT) criterium
-Rho by Dijkstra and Henseler
-All reliability indices in a single table
-A new table, showing the effect overview, has been added
Download

  • Install in MATLAB

    Requires R2026b and later. Learn more
1.3.1

Increased bootstrap speed.
Download

  • Install in MATLAB

    Requires R2026b and later. Learn more
1.3.0

Some improvements:
- Now, plspm function calculates also the Variance Inflaction Factors (VIFs) for model assessment of formative blocks;
- Now, bootstrap procedure calculates also t stats and pvalues for weights, loadings and path coefficients.
Download

  • Install in MATLAB

    Requires R2026b and later. Learn more
1.2.1

Updated the ECSI example
Download

  • Install in MATLAB

    Requires R2026b and later. Learn more
1.2.0

Corrected a bug in path_graph.m function
Download

  • Install in MATLAB

    Requires R2026b and later. Learn more
1.1.0

Corrected a bug in path_graph.m function
Download

  • Install in MATLAB

    Requires R2026b and later. Learn more
1.0.0

Download

  • Install in MATLAB

    Requires R2026b and later. Learn more