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A method of estimating a quantity or fitting a graph to data so as to minimize the sum of the squares of the differences between the observed values and the estimated values.

*‘One thing is certain, to find the least squares polynomial the above linear system must be solved.’**‘The general least squares process can be used to solve a set of equations for a set of unknowns.’**‘For linear models, the least squares minimization is usually done analytically using calculus.’**‘Why is it that the least squares regression line is said not to be resistant to outliers?’**‘Other topics related to total least squares, errors-in-variables modeling, and their applications are also welcome.’*

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