e/Total least squares

Information
has gloss	eng: Total least squares, also known as errors in variables, rigorous least squares, or orthogonal regression, is a least squares data modeling technique in which observational errors on both dependent and independent variables are taken into account. It is a generalization of Deming regression, and can be applied to both linear and non-linear models.
lexicalization	eng: Total Least Squares
instance of	e/Statistical model

Media
media:img	Total least squares.jpg