scipy.odr._odrpack:Output

Attributes

beta : ndarray

Estimated parameter values, of shape (q,).

sd_beta : ndarray

Standard deviations of the estimated parameters, of shape (p,).

cov_beta : ndarray

Covariance matrix of the estimated parameters, of shape (p,p). Note that this cov_beta is not scaled by the residual variance res_var, whereas sd_beta is. This means np.sqrt(np.diag(output.cov_beta * output.res_var)) is the same result as output.sd_beta.

delta : ndarray, optional

Array of estimated errors in input variables, of same shape as x.

eps : ndarray, optional

Array of estimated errors in response variables, of same shape as y.

xplus : ndarray, optional

Array of x + delta.

y : ndarray, optional

Array y = fcn(x + delta).

res_var : float, optional

Residual variance.

sum_square : float, optional

Sum of squares error.

sum_square_delta : float, optional

Sum of squares of delta error.

sum_square_eps : float, optional

Sum of squares of eps error.

inv_condnum : float, optional

Inverse condition number (cf. ODRPACK UG p. 77).

rel_error : float, optional

Relative error in function values computed within fcn.

work : ndarray, optional

Final work array.

work_ind : dict, optional

Indices into work for drawing out values (cf. ODRPACK UG p. 83).

info : int, optional

Reason for returning, as output by ODRPACK (cf. ODRPACK UG p. 38).

stopreason : list of str, optional

info interpreted into English.