sel_mod An object of class lm that is the selected model.
predictors The name of the selected predictors.
AIC The Akaike's Information Criterion for the selected model.
pred_models The Akaike's Information Criterion and the predictors
selected in each step.
predicted The predicted values considering the model in
sel_mod.
Arguments
.data
A data frame with the response variable and covariates.
resp
The response variable.
covariates
The covariates. Defaults to NULL. In this case, all
numeric traits in .data, except that in resp are selected. To
select specific covariates from .data, use a list of unquoted
comma-separated variable names (e.g. traits = c(var1, var2, var3)),
an specific range of variables, (e.g. traits = c(var1:var3)), or
even a select helper like starts_with("N").
npred
An integer specifying the size of the subset of predictors to be
selected