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