backwardElimination: backwardElimination

Description Usage Author(s) See Also

Description

backwardElimination Performs step-wise backward elimination of univariate linear regression models. From the full model, each variable is removed from the model, one-at-a-time, and the model is re-evaluated. The model with the highest adjusted r-squared is retained.

Usage

1
backwardElimination(data, y, predictors)

Author(s)

John James, jjames@datasciencesalon.org

See Also

Other movies functions: associate, back, challenger, comparePredictions, correlate, createDependent, evalForwardModel, forward, prediction, preprocess, process, regressionAnalysis, univariateQual, univariateQuant, univariate


DataScienceSalon/mdb documentation built on May 28, 2019, 12:23 p.m.