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Description:
What’s New in SPSS Statistics 29
- Linear OLS Alternatives
- Elastic Net
The new linear elastic net extension procedure estimates regularized linear regression models for a dependent variable on one or more independent variables. The graph represents example output for the procedure.
- Elastic Net
- Lasso
- The new linear lasso extension estimates L1 loss regularized linear regression models for a dependent variable on one or more independent variables, and includes optional modes to display trace plots and to select the alpha hyperparameter value based on cross validation. The graph represents example output for the procedure.
- Ridge
- The new linear ridge extension procedure estimates L2 or squared loss regularized linear regression models for a dependent variable on one or more independent variables, and includes optional modes to display trace plots and to select the alpha hyperparameter value based on cross validation. The graph represents example output for the procedure.
- Parametric Accelerated Failure Time (AFT) Models
- The new procedure invokes the parametric survival models procedure with non-recurrent life time data. Parametric survival models assume that survival time follow a known distribution, and this analysis fits accelerated failure time models with their model effects proportional with respect to survival time. The graph represents example output for the procedure.
Parametric Survival Model – SURV AFT
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