class_docstr: The following results were obtained from running the test script with R.
class_docstr_tok: ["The","following","results","were","obtained","from","running","the","test","script","with","R","."]
code: def __init__(self):
      self.params = (6.73894832e-02, -4.74273904e-01, 9.48988771e04)
      self.bse = (1.07033903e-02, 1.53385472e-01, 1.39447723e04)
      self.llf = -121.4294962954981
      self.fittedvalues = [
          59651.8255,
          60860.1385,
          60226.5336,
          61467.1268,
          63914.0846,
          64561.9553,
          64935.9028,
          64249.1684,
          66010.0426,
          66834.7630,
          67612.9309,
          67018.8998,
          68918.7758,
          69310.1280,
          69181.4207,
          70598.8734,
      ]
      self.resid = [
          671.174465,
          261.861502,
          -55.533603,
          -280.126803,
          -693.084618,
          -922.955349,
          53.097212,
          -488.168351,
          8.957367,
          1022.236970,
          556.069099,
          -505.899787,
          -263.775842,
          253.871965,
          149.579309,
          -47.873374,
      ]
      self.scale = 542.443043098**2
      self.tvalues = [6.296088, -3.092039, 6.805337]
      self.pvalues = [2.761673e-05, 8.577197e-03, 1.252284e-05]
      self.bic = 253.118790021
      self.aic = 250.858992591
  
file_path: statsmodels/statsmodels/regression/tests/results/results_regression.py
imports: import numpy
label_desc: Use image node_id 1 to create a new LongleyGls object  with example: obj = LongleyGls()