Orthogonal distance regression
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Background[edit]
In the least squares method of data modeling, the objective function, S,
S={\mathbf {r^{T}Wr}},
is minimized, where r is the vector of residuals and W is a weighting matrix. In linear least squares the model contains equations which are...