code: def __init__(self, method="mle"):
      if method == "mle":
          self.params = [0.169096401142, -0.683713393265]
          self.aic = 775.017701544762
          self.bic = 785.582084298349
          self.arroots = None
          self.maroots = [-1.0920 + 0j, 1.3393 + 0j]
          self.bse = [0.049254112414, 0.050541821979]
          self.cov_params = [
              [0.0024260, 0.00078704],
              [0.00078704, 0.0025545],
          ]
          self.hqic = 779.269556450598
          self.llf = -384.508850772381
          self.resid = resids_mle[:, 5]
          self.fittedvalues = yhat_mle[:, 5]
          self.pvalues = [0.0006, 1.07e-41]
          self.tvalues = [3.433, -13.53]
          self.sigma2 = 1.122887152869**2
      elif method == "css":
          # NOTE: bse, cov_params, tvalues taken from R; commented-out
          #   versions below are from [TODO: finish this sentence]
          self.params = [0.175605240783, -0.688421349504]
          self.aic = 773.725350463014
          self.bic = 784.289733216601
          self.arroots = None
          self.maroots = [-1.0844 + 0.0j, 1.3395 + 0.0j]
          # self.bse = [0.044465497496, 0.045000813836]
          self.bse = [0.04850046, 0.05023068]
          # self.cov_params = [
          #   [0.0019772, 0.00090016],
          #   [0.00090016, 0.0020251]]
          self.cov_params = [
              [0.0023522942, 0.0007545702],
              [0.0007545702, 0.0025231209],
          ]
          self.hqic = 777.977205368850
          self.llf = -383.862675231507
          self.resid = resids_css[:, 5]
          self.fittedvalues = yhat_css[:, 5]
          self.pvalues = [7.84e-05, 7.89e-53]
          # self.tvalues = [3.949, -15.30]
          self.tvalues = [3.620967, -13.705514]
          self.sigma2 = 1.123571177436**2
  
imports: import os
  from numpy import genfromtxt
label_desc: Use image node_id 1 to create a new Y_arma02 object  with example: obj = Y_arma02(method)