Pure error
= Pure error
With repeated responses at an identical predictor configuration, pure error is their within-configuration variability. Its <residual sum of squares> can estimate measurement variance independently of a candidate regression mean function. Without replication, a fitted residual can combine pure error and <lack of fit>.