Case Classification and Selection Based on Regression Results
Extremeness of cases on an independent variable
Extremeness of cases on the dependent variable
Identification of the most deviant case
Identification of the most overpredicted case
Identification of the most typical case
Identification of the most underpredicted case
Pathway case
Plot of residuals against pathway variable
Classification of cases as typical and deviant using a prediction inte...
Plot of typical and deviant cases with prediction intervals
Classification of cases as typical and deviant using the standard devi...
Plot of typical and deviant cases based on residuals' standard deviati...
Researchers doing a mixed-methods analysis (nested analysis as developed by Lieberman (2005) <doi:10.1017/S0003055405051762>) can use the package for the classification of cases and case selection using results of a linear regression. One can designate cases as typical, deviant, extreme and pathway case and use different case selection strategies for the choice of a case belonging to one of these types.
Useful links