code: def fit(self):
      alpha0 = 0.1  # startvalue
      func = self.fit_conditional
      fitres = optimize.fmin(func, alpha0)
  
      # fit_conditional only returns ssr for now
      alpha = fitres[0]
      y = self.ar1filter(self.endog, alpha)
      x = self.ar1filter(self.exog, alpha)
      reso = OLS(y, x).fit()
  
      return fitres, reso
  
file_path: statsmodels/statsmodels/sandbox/regression/ar_panel.py
imports: import numpy
  from scipy import optimize
  from statsmodels.regression.linear_model import OLS
label_desc: Use image node_id 4 for calling the PanelAR1 obj's underlying member method code with example usage: obj.fit() and returns: fitres,  reso