scipy.odr.multilinear#

scipy.odr.multilinear = <scipy.odr._models._MultilinearModel object>[source]#

Arbitrary-dimensional linear model

This model is defined by \(y=\beta_0 + \sum_{i=1}^m \beta_i x_i\)

Examples

We can calculate orthogonal distance regression with an arbitrary dimensional linear model:

>>> from scipy import odr
>>> x = np.linspace(0.0, 5.0)
>>> y = 10.0 + 5.0 * x
>>> data = odr.Data(x, y)
>>> odr_obj = odr.ODR(data, odr.multilinear)
>>> output = odr_obj.run()
>>> print(output.beta)
[10.  5.]