SmartPLS 3.3.9 Crack With Registration Key Latest 2022
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- Path modeling using partial least squares (PLS).
- Consistent least squares (PLSS) regression using ordinary least squares (OLS).
- PLS weighted, weighted OLS weighted, d, and consistently weighted PLS.
- The boot process and its applications.
- IPMA (Importance and Performance Mapping Analysis).
- Using multi-group analysis (MGA) for PLS, you can examine the differences and significance of the path model estimates for each group.
- The higher the ranking, the more significant the differences.
- Mediation: Estimating spillovers and testing their significance (based on the bootstrap)
- Moderation: Estimating interaction effects and smoothing significance tests.
- Analyzing nonlinear relationships: estimating quadratic effects and analyzing their smoothing significance
- The statistical technique allows the set of measurement models to be experimentally tested using a confirmatory quadrant analysis (CTA).
- Finite Mixture Fragmentation (FIMIX) using latent classes allows identification and treatment of unobserved heterogeneity in pathway models.
- An approach to defining data sets based on predictions.
- A method for determining the accuracy of a PLS path model using a PLS prediction.
- Choose the model based on the prediction.
- A method for determining the accuracy of a structural equation model.
- Convenient and easy way to determine the accuracy of the structural equation model.
- Provides you with a stimulating modeling environment.
- Create a track instantly.
- Equations in structural models can also be modeled with this help.
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- It offers an enticing modeling environment, which is a significant plus.
- Additionally, you can immediately create a path model with it.
- On top of that, it gives you reports that are easy to use and well-organized.
- You can save results as HTML or Excel files.
- In addition, it is possible to create conditions involving interaction.
- In addition to a great deal more
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- Operating Systems: Windows XP/Vista/7/8/8.1/10.
- RAM requirement: 1 GB of RAM.
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