class_docstr: These results are from Bruce Hansen's Matlab package.
  To replicate the results, the exogenous variables were scaled
  down by 10**-2 and the results were then rescaled.
  
  These tests must also test likelihood functions because the
  llr when conducting hypothesis tests is the MLE while
  restricting the intercept to 0. Matlab's generic package always
  uses the unrestricted MLE.
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code: def __init__(self):
      self.test_params = np.array([0, 0.00351861])
      self.test_llf = -1719.793173  # llf when testing param = .0034
      self.test_llf_hat = -1717.95833  # llf when origin=0
      self.test_llf_hypoth = -2 * (self.test_llf - self.test_llf_hat)
      self.test_llf_conf = -1719.879077
  
file_path: statsmodels/statsmodels/emplike/tests/results/el_results.py
imports: import numpy
label_desc: Use image node_id 1 to create a new OriginResults object  with example: obj = OriginResults()