You utilized the intensity of each feature as the dependent variable (Y), while treating the confounding factors (BMI, sex, IRIS, and ethnicity) as independent variables (X) to construct a linear regression model. Why is the residual of the model used as the adjusted value for the specific feature instead of the predicted value? Thanks for your answer!