Before revision:  In this paper, we propose a new feature selection method which uses singular value decomposition of a matrix and }]  the method of least squares to remove the irrelevant features and detect correlations between the remaining features . and remove those features whose weights are smaller than the threshold.
After revision:  In this paper, we propose a new feature selection method (DRPT) that consists of first removing the irrelevant features and then detecting correlations between the remaining features. Let D= }] the method of least squares to remove the irrelevant features and detect correlations between the remaining features . and remove those features whose weights are smaller than the threshold.