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