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as it not estimates should be N not (N-1). See Glaister, P. (2001). "Least squares revisited". |
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{{Short description|Algorithm for the line of best fit for a two-dimensional dataset}}
[[Image:Total least squares.svg|thumb|Deming regression. The red lines show the error in both ''x'' and ''y''. This is different from the traditional least squares method which measures error parallel to the ''y'' axis. The case shown, with deviations measured perpendicularly, arises when errors in ''x'' and ''y'' have equal variances.]]
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