scipy.odr.unilinear

scipy.odr.unilinear = <scipy.odr._models._UnilinearModel object>

Univariate linear model

This model is defined by \(y = \beta_0 x + \beta_1\)

Examples

We can calculate orthogonal distance regression with an unilinear model:

>>> from scipy import odr
>>> x = np.linspace(0.0, 5.0)
>>> y = 1.0 * x + 2.0
>>> data = odr.Data(x, y)
>>> odr_obj = odr.ODR(data, odr.unilinear)
>>> output = odr_obj.run()
>>> print(output.beta)
[1. 2.]

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