text: import numpy as np
  
  llf = np.array([-242.89663276735])
  
  nobs = np.array([             202])
  
  k = np.array([               3])
  
  k_exog = np.array([               1])
  
  sigma = np.array([  .8053519404535])
  
  chi2 = np.array([ 15723.381396967])
  
  df_model = np.array([               2])
  
  k_ar = np.array([               1])
  
  k_ma = np.array([               1])
  
  params = np.array([ .99479180506163, 
                     -.84461527652809, 
                      .64859174799221])
  
  cov_params = np.array([ .00008904968254, 
                         -.00023560410507, 
                          .00012795903324, 
                         -.00023560410507, 
                          .00131628534915, 
                         -.00022462340695, 
                          .00012795903324, 
                         -.00022462340695, 
                           .0005651128627]).reshape(3,3)
  
  xb = np.array([               0, 
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                  .06429278105497, 
                  .07087650150061, 
                  .06886467337608, 
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                  .07099691033363, 
                  .08401278406382, 
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                  .09366323798895, 
                  .08811800926924, 
                  .10296355187893, 
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                   .0852297320962, 
                  .08700425922871, 
                  .09751411527395, 
                  .09737934917212, 
                  .11228405684233, 
                   .1053489819169, 
                  .12352022528648, 
                  .16439816355705, 
                   .1643835157156, 
                  .19891132414341, 
                  .17551273107529, 
                  .17827558517456, 
                  .19562774896622, 
                  .21028305590153, 
                  .23767858743668, 
                  .24580039083958, 
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                  .35402658581734, 
                  .37410452961922, 
                  .39106267690659, 
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  y = np.array([np.nan, 
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  resid = np.array([np.nan, 
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  yr = np.array([np.nan, 
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                  .60241633653641, 
                 -.18233296275139, 
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                 -3.8318600654602, 
                  -6.239429473877, 
                 -.08245316892862, 
                  1.2339268922806, 
                  1.1695692539215])
  
  mse = np.array([ 1.1112809181213, 
                    .6632194519043, 
                   .65879660844803, 
                   .65575885772705, 
                   .65364873409271, 
                   .65217137336731, 
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                   .64860755205154, 
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                   .64859980344772, 
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  stdp = np.array([               0, 
                                  0, 
                    .02869686298072, 
                    .05651443824172, 
                     .0503994859755, 
                    .06887971609831, 
                    .05940540507436, 
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                    .21028305590153, 
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                    .47139286994934, 
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                    1.0115815401077, 
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                     .9972335100174, 
                    1.0975805521011, 
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                     1.270641207695, 
                    1.2083609104156, 
                     1.696394443512, 
                    1.4628355503082, 
                    1.4307631254196, 
                    1.5087975263596, 
                    1.1542117595673, 
                    1.2262620925903, 
                    1.3880327939987, 
                    1.3853038549423, 
                    1.4396153688431, 
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                     1.678991317749, 
                     2.110867023468, 
                     1.524417757988, 
                    .57946246862411, 
                    .56406193971634, 
                    .74643105268478])
  
  icstats = np.array([             202, 
                      np.nan, 
                      -242.89663276735, 
                                     3, 
                       491.79326553469, 
                        501.7180686269])
  
  
  class Bunch(dict):
      def __init__(self, **kw):
          dict.__init__(self, kw)
          self.__dict__ = self
  
  
  results = Bunch(llf=llf, nobs=nobs, k=k, k_exog=k_exog, sigma=sigma, chi2=chi2, df_model=df_model, k_ar=k_ar, k_ma=k_ma, params=params, cov_params=cov_params, xb=xb, y=y, resid=resid, yr=yr, mse=mse, stdp=stdp, icstats=icstats, )
  