The article introduces a new way to test complex data by creating a special statistic that focuses on specific areas of interest. By adapting a common distance measurement, researchers can now direct their analysis towards specific parts of the data, making it easier to find patterns and make predictions. This method simplifies the process by turning it into a simple linear regression problem, which can be especially useful when dealing with large amounts of data. The new statistic is particularly effective when testing against sparse data, where it can quickly identify important factors.