# 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
      >>> import numpy as np
      >>> 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.]