def setupClass(cls):
     data = sm.datasets.spector.load()
     data.exog = sm.add_constant(data.exog)
     res2 = Spector()
     res2.probit()
     cls.res2 = res2
     cls.res1 = Probit(data.endog, data.exog).fit(method="ncg", disp=0, avextol=1e-8)

 def setupClass(cls):
     data = sm.datasets.spector.load()
     data.exog = sm.add_constant(data.exog, prepend=False)
     cls.res1 = Logit(data.endog, data.exog).fit(method="newton", disp=0)
     res2 = Spector()
     res2.logit()
     cls.res2 = res2

 def __init__(self):
     from results.results_discrete import Spector
     data = sm.datasets.spector.load()
     data.exog = sm.add_constant(data.exog)
     self.data = data
     self.res1 = Logit(data.endog, data.exog).fit(method="newton", disp=0)
     res2 = Spector()
     res2.logit()
     self.res2 = res2