The data, with weightings as actual standard deviations and/or covariances.
Parameters ---------- x : array_like Observed data for the independent variable of the regression y : array_like, optional If array-like, observed data for the dependent variable of the regression. A scalar input implies that the model to be used on the data is implicit. sx : array_like, optional Standard deviations of `x`. `sx` are standard deviations of `x` and are converted to weights by dividing 1.0 by their squares. sy : array_like, optional Standard deviations of `y`. `sy` are standard deviations of `y` and are converted to weights by dividing 1.0 by their squares. covx : array_like, optional Covariance of `x` `covx` is an array of covariance matrices of `x` and are converted to weights by performing a matrix inversion on each observation's covariance matrix. covy : array_like, optional Covariance of `y` `covy` is an array of covariance matrices and are converted to weights by performing a matrix inversion on each observation's covariance matrix. fix : array_like, optional The argument and member fix is the same as Data.fix and ODR.ifixx: It is an array of integers with the same shape as `x` that determines which input observations are treated as fixed. One can use a sequence of length m (the dimensionality of the input observations) to fix some dimensions for all observations. A value of 0 fixes the observation, a value > 0 makes it free. meta : dict, optional Free-form dictionary for metadata.
Notes ----- The weights `wd` and `we` are computed from provided values as follows:
`sx` and `sy` are converted to weights by dividing 1.0 by their squares. For example, ``wd = 1./numpy.power(`sx`, 2)``.
`covx` and `covy` are arrays of covariance matrices and are converted to weights by performing a matrix inversion on each observation's covariance matrix. For example, ``wei = numpy.linalg.inv(covyi)``.
These arguments follow the same structured argument conventions as wd and we only restricted by their natures: `sx` and `sy` can't be rank-3, but `covx` and `covy` can be.
Only set *either* `sx` or `covx` (not both). Setting both will raise an exception. Same with `sy` and `covy`.