A new technique has been developed to test complex mathematical models more accurately. This technique helps to identify specific components that deviate from the expected values in the models. By combining different statistical methods, researchers were able to improve the accuracy of their tests, especially when dealing with large amounts of data. This new approach can be used to test factor pricing models and ensure that data in panel studies are independent.