The article compares different tests to see if they fit a specific type of regression model well. The researchers looked at four different methods and checked if they worked properly using both simulated and real data. They wanted to see if the proposed tests were similar to what they should be and if they could correctly identify when a model was not right. The study found that the tests using grouping strategies were effective in evaluating the model's fit.