code: def __init__(self):
      self.params = [
          -2.6941851611,
          158.426977524,
          -7.24928987289,
          60.4487736936,
          -114.10886935,
      ]
  
      self.bse = [
          3.807306306,
          76.39115431,
          9.724337321,
          58.55088753,
          139.6874965,
      ]
      # NOTE: we compute the scale differently than they do for analytic
      #  weights
      self.scale = 189.0025755829012**2
      self.rsquared = 0.2549143871187359
      self.rsquared_adj = 0.2104316639616448
      self.df_model = 4
      self.df_resid = 67
      self.ess = 818838.8079468152
      self.ssr = 2393372.229657007
      self.mse_model = 818838.8079468152 / 4
      self.mse_resid = 2393372.229657007 / 67
      self.mse_total = (self.ess + self.ssr) / 71.0
      self.fvalue = 5.730638077585917
      self.llf = -476.9792946562806
      self.aic = 963.95858931256
      self.bic = 975.34191990764
      # pvalues from R
      self.pvalues = [
          0.4816259843354,
          0.0419360764848,
          0.4585895209814,
          0.3055904431658,
          0.4168883565685,
      ]
      self.resid = [
          -286.964904785,
          -128.071563721,
          -405.860900879,
          -20.1363945007,
          -169.824432373,
          -82.6842575073,
          -283.314300537,
          -52.1719360352,
          433.822174072,
          -190.607543945,
          -118.839683533,
          -133.97076416,
          -85.5728149414,
          66.8180847168,
          -107.571769714,
          -149.883285522,
          -140.972610474,
          75.9255981445,
          -135.979736328,
          -415.701263428,
          130.080032349,
          25.2313785553,
          1042.14013672,
          -75.6622238159,
          177.336639404,
          315.870544434,
          -8.72801017761,
          240.823760986,
          54.6106033325,
          65.6312484741,
          -40.9218444824,
          24.6115856171,
          -131.971786499,
          36.1587944031,
          92.5052108765,
          -136.837036133,
          242.73274231,
          -65.0315093994,
          20.1536407471,
          -15.8874826431,
          27.3513431549,
          -173.861785889,
          -113.121154785,
          -37.1303443909,
          1510.31530762,
          582.916931152,
          -17.8628063202,
          -132.77381897,
          -108.896934509,
          12.4665794373,
          -122.014572144,
          -158.986968994,
          -175.798873901,
          405.886505127,
          99.3692703247,
          85.3450698853,
          -179.15007019,
          -34.1245117188,
          -33.4909172058,
          -20.7287139893,
          -116.217689514,
          53.8837738037,
          -52.1533050537,
          -100.632293701,
          34.9342498779,
          -96.6685943604,
          -367.32925415,
          -40.1300048828,
          -72.8692245483,
          -60.8728256226,
          -35.9937324524,
          -222.944747925,
      ]
      self.resid_pearson = [
          -0.90569581,
          -0.75496938,
          -1.28663890,
          -0.11309411,
          -0.24746253,
          -0.47181831,
          -1.02062293,
          -0.31403683,
          1.62862142,
          -0.84973225,
          -0.42919669,
          -0.78007426,
          -0.63913772,
          0.29787637,
          -0.38364568,
          -0.21381846,
          -0.85577361,
          0.54156452,
          -0.48496031,
          -1.15374603,
          0.41145856,
          0.23996158,
          2.70305838,
          -0.53171027,
          0.79057028,
          1.82433320,
          -0.04150362,
          0.97048328,
          0.13667658,
          0.26750667,
          -0.12690810,
          0.11703354,
          -0.72689772,
          0.34160874,
          0.71332338,
          -0.75079661,
          1.73137185,
          -0.39477348,
          0.04107215,
          -0.11332274,
          0.22952063,
          -0.88580496,
          -0.67239515,
          -0.17656300,
          4.48867723,
          2.61499898,
          -0.16988320,
          -0.63136893,
          -0.68135396,
          0.06351572,
          -0.64467367,
          -0.37800911,
          -0.64304809,
          1.88607184,
          0.57624742,
          0.60875207,
          -0.78636761,
          -0.17897383,
          -0.21716827,
          -0.07885570,
          -0.57566752,
          0.25202879,
          -0.29176531,
          -0.54378274,
          0.30203654,
          -0.57460072,
          -0.72378394,
          -0.23853382,
          -0.17325464,
          -0.24121979,
          -0.10269489,
          -0.57826451,
      ]
  
file_path: statsmodels/statsmodels/regression/tests/results/results_regression.py
imports: import numpy
label_desc: Use image node_id 1 to create a new CCardWLS object  with example: obj = CCardWLS()