class_docstr: The Output class stores the output of an ODR run.
  
  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).
  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.
  
  Notes
  -----
  Takes one argument for initialization, the return value from the
  function `~scipy.odr.odr`. The attributes listed as "optional" above are
  only present if `~scipy.odr.odr` was run with ``full_output=1``.
docstr: Pretty-print important results.
          
docstr_tok: ["Pretty-print","important","results","."]
code: def pprint(self):
      """Pretty-print important results."""
  
      print("Beta:", self.beta)
      print("Beta Std Error:", self.sd_beta)
      print("Beta Covariance:", self.cov_beta)
      if hasattr(self, "info"):
          print("Residual Variance:", self.res_var)
          print("Inverse Condition #:", self.inv_condnum)
          print("Reason(s) for Halting:")
          for r in self.stopreason:
              print("  %s" % r)
  
imports: import os
  import numpy
  from warnings import warn
  from scipy.odr import __odrpack
label_desc: Use image node_id 2 for calling the Output obj's underlying member method code with example usage: obj.pprint() without return types