A generated regressor refers to an independent variable in a regression model that is created or derived from existing data rather than being directly observed or measured. This can include transformations of existing variables, interactions between variables, or any other derived quantities that are used as predictors in a regression analysis. Generated regressors are often used to capture non-linear relationships in the data or to incorporate additional information that may improve the model's predictive power.
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