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Is it possible to do a least squares regression using numpy or scipy that allows an input of x and y errors of data points? It seems that scipy.optimize only takes one error value.

Anode
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    Does the answer to [this question](http://stackoverflow.com/questions/16126884/python-scipy-odrpack-odr-example-with-sample-input-output) using `odrpack` help? – DSM Dec 12 '13 at 19:28
  • I am unfamiliar with ordpack but I'm open to any suggestions. – Anode Dec 12 '13 at 19:30
  • For errors on both x and y odrpack is your best option by far. – Ffisegydd Dec 12 '13 at 19:54
  • You might also want to ask this question on [the scientific computing stack exchange](http://scicomp.stackexchange.com) – Dan Dec 12 '13 at 23:14
  • This [answer](http://stackoverflow.com/a/16127329/2029132) may help. – gabra Sep 24 '14 at 18:18

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