# Line fitting

**Line fitting** is the process of constructing a straight line that has the best fit to a series of data points.

Several methods exist, considering:

- Vertical distance: Simple linear regression
- Resistance to outliers: Robust simple linear regression

- Orthogonal distance: Orthogonal regression
- Weighted geometric distance: Deming regression

- Scale invariance: Major axis regression

## See also

## Further reading

- "Fitting lines", chap.1 in LN. Chernov (2010),
*Circular and linear regression: Fitting circles and lines by least squares*, Chapman & Hall/CRC, Monographs on Statistics and Applied Probability, Volume 117 (256 pp.).

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