code: def __init__(self):
      # Regression Through the Origin model
      # from Stata, make sure you force double to replicate
      self.params = [
          -52.993523,
          0.07107319,
          -0.42346599,
          -0.57256869,
          -0.41420348,
          48.417859,
      ]
      self.bse = [
          129.5447812,
          0.0301663805,
          0.4177363573,
          0.2789908665,
          0.3212848136,
          17.68947719,
      ]
      self.scale = 475.1655079819532**2
      self.rsquared = 0.9999670130705958
      self.rsquared_adj = 0.9999472209129532
      self.df_model = 6
      self.df_resid = 10
      self.ess = 68443718827.40025
      self.ssr = 2257822.599757476
      self.mse_model = 68443718827.40025 / 6
      self.mse_resid = 2257822.599757476 / 10
      self.mse_total = (self.ess + self.ssr) / 16.0
      self.fvalue = 50523.39573737409
      self.llf = -117.5615983965251
      self.aic = 247.123196793
      self.bic = 251.758729126
      self.pvalues = [
          0.6911082828354,
          0.0402241925699,
          0.3346175334102,
          0.0672506018552,
          0.2263470345100,
          0.0209367642585,
      ]
      self.resid = [
          279.902740479,
          -130.324661255,
          90.7322845459,
          -401.312530518,
          -440.467681885,
          -543.54510498,
          201.321121216,
          215.908889771,
          73.0936813354,
          913.216918945,
          424.824859619,
          -8.56475830078,
          -361.329742432,
          27.3456058502,
          151.28956604,
          -492.499359131,
      ]
      # Obtained from R using
      #  m$residuals / sqrt(sum(m$residuals * m$residuals) / m$df.residual)
      self.resid_pearson = [
          0.58906369,
          -0.27427213,
          0.19094881,
          -0.84457419,
          -0.92697740,
          -1.14390695,
          0.42368630,
          0.45438671,
          0.15382784,
          1.92189233,
          0.89405658,
          -0.01802479,
          -0.76042924,
          0.05754964,
          0.31839340,
          -1.03647964,
      ]
  
file_path: statsmodels/statsmodels/regression/tests/results/results_regression.py
imports: import numpy
label_desc: Use image node_id 1 to create a new LongleyRTO object  with example: obj = LongleyRTO()