code: def __init__(self, method="mle"):
      if method == "mle":
          self.params = [
              4.519277801954,
              0.200385403960,
              -0.643766305844,
          ]
          self.aic = 758.051194540770
          self.bic = 772.137038212219
          self.arroots = None
          self.maroots = [-1.1004 + 0.0j, 1.4117 + 0.0j]
          self.bse = [0.038397713362, 0.049314652466, 0.048961366071]
          self.cov_params = [
              [0.0014744, 6.2363e-05, 6.4093e-05],
              [6.2363e-05, 0.0024319, 0.0014083],
              [6.4093e-05, 0.0014083, 0.0023972],
          ]
          self.hqic = 763.720334415218
          self.llf = -375.025597270385
          self.resid = residsc_mle[:, 5]
          self.fittedvalues = yhatc_mle[:, 5]
          self.pvalues = [0.0000, 4.84e-5, 1.74e-39]
          self.tvalues = [117.7, 4.063, -13.15]
          self.sigma2 = 1.081406299967**2
      elif method == "css":
          # NOTE: cov_params, tvalues taken from R; commented-out
          #   versions below are from [TODO: Finish this sentence]
          self.params = [
              4.519869870853,
              0.202414429306,
              -0.647482560461,
          ]
          self.aic = 756.679105324347
          self.bic = 770.764948995796
          self.arroots = None
          self.maroots = [-1.0962 + 0.0000j, 1.4089 + 0.0000j]
          self.bse = [0.038411589816, 0.047983057239, 0.043400749866]
          # self.cov_params = [
          #   [0.0014755, 9.0191e-05, 7.3561e-06],
          #   [9.0191e-05, 0.0023024, 0.0012479],
          #   [7.3561e-06, 0.0012479, 0.0018836]]
          self.cov_params = [
              [1.46121526606e-03, 5.30770136338e-05, 5.34796521051e-05],
              [5.30770136338e-05, 2.37105883909e-03, 1.41090983316e-03],
              [5.34796521051e-05, 1.41090983316e-03, 2.35584355080e-03],
          ]
          self.hqic = 762.348245198795
          self.llf = -374.339552662174
          self.resid = residsc_css[:, 5]
          self.fittedvalues = yhatc_css[:, 5]
          self.pvalues = [0.0000, 2.46e-05, 2.49e-50]
          # self.tvalues = [117.7, 4.218, -14.92]
          self.tvalues = [
              118.24120637494,
              4.15691796413,
              -13.33981086206,
          ]
          self.sigma2 = 1.081576475937**2
  
imports: import os
  from numpy import genfromtxt
label_desc: Use image node_id 1 to create a new Y_arma02c object  with example: obj = Y_arma02c(method)