olsrr 0.6.0 - Githubissues

This pull request merges all bug fixes and enhancements as part of 0.6.0 release:

allow users to specify threshold for detecting outliers (#178)
if ols_test_outlier() does not find any outliers, it returns largest positive residual instead of largest absolute residual (#177)
using ols_step_all_possible() with Model created from dynamic function leads to "Error in eval(model$call$data) . . . not found" (#176)
ols_step_both_p(): Error in if (pvals[minp] <= pent) {: argument is of length zero (#175)
handle extremely significant variables (#173)
ols_correlations() returns error for models with 2 predictors (#168)
ols_step_both_aic() doesn't return model (#167)
ols_regress() returned residual standard error instead of RMSE (@jens-daniel-mueller, #165)
extracting model data (#159)
ols_plot_resid_stud() fails to plot outliers due to y-axis range (#155)
ols_correlations error (#191)
mallow's Cp behaves inconsistently depending on model specification (#196)
ols_step_forward_p(...) problem using the funtion ols_step_forward_p (#200)
output of the command "ols_step_both_aic" doesn't contain final model (#201)

rsquaredacademy / olsrr