OpenPLS
Features
The full PLS-SEM pipeline: measurement, structural, discriminant, bootstrap, MGA.
How it works
From dataset upload to publication-ready report in four steps.
Advanced methods
13 built-in methods: MGA, MICOM, IPMA, PLSpredict, HOC, FIMIX and more.
AI Companion New
Contextual hints + chat, grounded in your data.
Surveys New
Publish a public survey URL, collect anonymous responses, import them into a dataset in one click.
Case studies
Reproducible published PLS-SEM models, one-click clone into your workspace.
What is PLS-SEM?
A plain-English intro to Partial Least Squares Structural Equation Modeling - definition, when to use it, and how it differs from CB-SEM.
User Guide New
76-page walkthrough with screenshots from the live app. Free PDF download.
References
Validation against SmartPLS and the canonical PLS-SEM literature.
Engine docs
API reference for openpls-engine, the open-source Python package that powers OpenPLS.
Pricing
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Product
Features The full PLS-SEM pipeline: measurement, structural, discriminant, bootstrap, MGA. How it works From dataset upload to publication-ready report in four steps. Advanced methods 13 built-in methods: MGA, MICOM, IPMA, PLSpredict, HOC, FIMIX and more. AI Companion New Contextual hints + chat, grounded in your data. Surveys New Publish a public survey URL, collect anonymous responses, import them into a dataset in one click. Case studies Reproducible published PLS-SEM models, one-click clone into your workspace.
Resources
What is PLS-SEM? A plain-English intro to Partial Least Squares Structural Equation Modeling - definition, when to use it, and how it differs from CB-SEM. User Guide New 76-page walkthrough with screenshots from the live app. Free PDF download. References Validation against SmartPLS and the canonical PLS-SEM literature. Engine docs API reference for openpls-engine, the open-source Python package that powers OpenPLS.
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Get started free
Case Studies

Case Studies

Each case study walks through one published PLS-SEM model: theoretical background, hypotheses, path diagram, methodology, and reproducible key metrics. Clone the project with one click or download the dataset on its own.

ECSI

European Customer Satisfaction Index

Customer Experience

Six reflective constructs (Image → Expectations → Quality → Value → Satisfaction → Loyalty), the canonical model from service marketing research.

N
250
LVs
6
R²(SAT)
0.71
Open case study →
UTAUT2 + Trust

E-commerce acceptance with trust

Marketing / E-commerce

Performance expectancy, effort expectancy, social influence, and trust explain purchase intention and actual use. Includes demographics for multi-group analysis.

N
400
LVs
6
MGA
Age · Device
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JD-R

Employee engagement (Job Demands-Resources)

HR / Organizational Behavior

Job demands and job resources affect satisfaction and performance via engagement. A classic mediator model with five constructs.

N
350
LVs
5
R²(JP)
0.40
Open case study →
TAM + Privacy

Adoption of digital health apps

Healthcare / mHealth

PEOU, usefulness, health consciousness, and privacy risk drive attitude and behavioral intention. A negative privacy path makes for a great f² effect-size example.

N
380
LVs
6
Effect
PR → BI negative
Open case study →
OpenPLS

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