Methods for Dimension Reduction for Regression. Functions, methods, and datasets for fitting dimension reduction regression, using slicing (methods SAVE and SIR), Principal Hessian Directions (phd, using residuals and the response), and an iterative IRE. Partial methods, that condition on categorical predictors are also available. A variety of
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Last updated · 2025-04-17T15:10:02+00:00