scipy.odr.unilinear¶
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scipy.odr.
unilinear
= <scipy.odr.models._UnilinearModel object>[source]¶ 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.]