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This document describes some algorithms for fitting 2D or 3D point sets by linear or quadratic structures using least squares minimization. This is the usual introduction to least squares fit by a line when the data represents measurements where the y–component is assumed to be functionally dependent on the x–component. Given a set of samples {(x i , y i)}(More)