Composite

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Composite models combine several base learners inside one fit.

Pass any model string below as Arm(model=...). Extra names an optional dependency, Scaling flags whether predictors should be standardized, and Tunable counts the hyperparameters the search space exposes.

Model string	Description	Input	Extra	Scaling	Recommended preprocessing	Tunable
pls	Partial least squares regression with optional Hounyo-Li-style control residualization.	supervised	none	no	default	1
scaled_pca	Huang et al. scaled PCA: marginal predictive-slope scaling followed by PCA.	supervised	none	no	default	1
supervised_pca	Original-style iterative supervised PCA with residual correlation screening and projection.	supervised	none	no	default	3
supervised_scaled_pca	Hounyo-Li supervised scaled PCA: marginal predictive-slope scaling followed by SPCA.	supervised	none	no	default	3

Reference

• Models reference page for ModelSpec, ModelFit, and fit conventions.