When using ordinary least squares regression (OLS), if your response or dependent attribute isn’t close to a normal distribution, your analysis is going to be affected and typically not in a good way. The farther away your input data is from normality, the greater the impact on your model will […]
An analytic transform for cantankerous data was published on SAS Users.