The method of quadratic discrimination through orthogonal transformation is introduced to optimize quadratic discrimination function and has proved more effective than the method of stepwise multiple discrimination. It is noteworthy that when there are a large number of predictors it is better to make a preliminary choice by using stepwise multiple discrimination or stepwise regression so that the calculation can be made more stable and the effectiveness of discrimination can be improved.