The article discusses a new method called total least squares for linear regression, which is used to estimate parameters in a linear fit. By comparing it to the traditional least squares method, the total least squares method shows higher accuracy in parameter estimation. This new approach improves the accuracy of linear regression results, making it a valuable algorithm for practical applications.