statsmodels.regression.dimred.PrincipalHessianDirections¶
-
class
statsmodels.regression.dimred.
PrincipalHessianDirections
(endog, exog, **kwargs)[source]¶ Principal Hessian Directions
Parameters: endog : array-like (1d)
The dependent variable
exog : array-like (2d)
The covariates
References
KC Li (1992). On Principal Hessian Directions for Data Visualization and Dimension Reduction: Another application of Stein’s lemma. JASA 87:420.
Attributes
endog_names
Names of endogenous variables exog_names
Names of exogenous variables Methods
fit
(**kwargs)Estimate the EDR space using PHD. from_formula
(formula, data[, subset, drop_cols])Create a Model from a formula and dataframe. predict
(params[, exog])After a model has been fit predict returns the fitted values.