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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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