SPSS-PLS Extension Module, developed by SPSS, Inc., brings Partial Least Squares (PLS) regression to the familiar SPSS Statistics environment. Designed for situations with many predictors, multicollinearity, or limited sample sizes, it models relationships between large sets of independent variables and one or multiple dependent variables by extracting latent components that capture shared variance. This approach enhances predictive accuracy, reduces overfitting, and improves interpretability.
Seamlessly integrated with SPSS’s point-and-click interface and syntax, the module supports common preprocessing options such as centering and scaling, offers cross-validation to help select the optimal number of components, and produces outputs including component scores, loadings, weights, and measures of variable influence. Ideal for applied research and analytics across domains like market research, life sciences, and operations, the SPSS-PLS Extension Module enables users to build robust, parsimonious models, explore underlying structure in complex data, and report results using SPSS’s standard output workflow.
SPSS-PLS Extension Module is developed by SPSS, Inc.. The most popular version of this product among our users is 16.0.
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