Total Least Squares: State-of-the-Art Regression in Numerical Analysis

Total least squares regression (TLS) fits a line to data where errors may occur in both the dependent and independent variables. In higher dimensions, TLS fits a hyperplane to such data. The elementary algorithm presented here fits readily in a first course in numerical linear algebra.

[1]  Jack C. Morrison DISTANCE FROM A POINT TO A LINE , 1991 .

[2]  James Demmel,et al.  Jacobi's Method is More Accurate than QR , 1989, SIAM J. Matrix Anal. Appl..