| Feature | Supported | Notes | |---------|-----------|-------| | Multiple regression | ✅ | Stepwise, best subsets | | Logistic regression | ✅ | Binary, ordinal, nominal | | Time series | ✅ | ARIMA, exponential smoothing, trend analysis | | Classification & regression trees (CART) | ✅ | Via Minitab’s Predictive Analytics Module | | Random forests | ✅ | For variable importance and prediction | | Neural networks | ✅ | Limited compared to Python/R, but present | | Cluster analysis | ✅ | K-means, hierarchical | | Model validation | ✅ | Cross-validation, test data sets | | Automated model selection | ✅ | type feature in newer versions |
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