Use predicted rsquared to determine how well the model predicts responses for new observations. Larger values of predicted R2 indicate models of greater predictive ability.
See also
Other influence measures:
ols_hadi(),
ols_leverage(),
ols_press()
Examples
model <- lm(mpg ~ disp + hp + wt + qsec, data = mtcars)
ols_pred_rsq(model)
#> [1] 0.7710297