Build regression model from a set of candidate predictor variables by removing predictors based on adjusted r-squared, in a stepwise manner until there is no variable left to remove any more.
ols_step_backward_adj_r2(model,...)## Default S3 method:ols_step_backward_adj_r2( model, include =NULL, exclude =NULL, progress =FALSE, details =FALSE,...)## S3 method for class 'ols_step_backward_adj_r2'plot(x, print_plot =TRUE, details =TRUE, digits =3,...)
Arguments
model: An object of class lm; the model should include all candidate predictor variables.
...: Other arguments.
include: Character or numeric vector; variables to be included in selection process.
exclude: Character or numeric vector; variables to be excluded from selection process.
progress: Logical; if TRUE, will display variable selection progress.
details: Logical; if TRUE, will print the regression result at each step.
x: An object of class ols_step_backward_*.
print_plot: logical; if TRUE, prints the plot else returns a plot object.
digits: Number of decimal places to display.
Returns
List containing the following components:
model: final model; an object of class lm
metrics: selection metrics
others: list; info used for plotting and printing
Examples
# stepwise backward regressionmodel <- lm(y ~ ., data = surgical)ols_step_backward_adj_r2(model)# final model and selection metricsk <- ols_step_backward_aic(model)k$metrics
k$model
# include or exclude variable# force variables to be included in the selection processols_step_backward_adj_r2(model, include = c("alc_mod","gender"))# use index of variable instead of nameols_step_backward_adj_r2(model, include = c(7,6))# force variable to be excluded from selection processols_step_backward_adj_r2(model, exclude = c("alc_heavy","bcs"))# use index of variable instead of nameols_step_backward_adj_r2(model, exclude = c(8,1))
References
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
See Also
Other backward selection procedures: ols_step_backward_aic(), ols_step_backward_p(), ols_step_backward_r2(), ols_step_backward_sbc(), ols_step_backward_sbic()