def setupClass(cls):
from results.results_discrete import Anes
data = sm.datasets.anes96.load()
cls.data = data
exog = data.exog
exog = sm.add_constant(exog, prepend=False)
cls.res1 = MNLogit(data.endog, exog).fit(method="newton", disp=0)
res2 = Anes()
res2.mnlogit_basezero()
cls.res2 = res2
def setupClass(cls):
from results.results_discrete import Anes
data = sm.datasets.anes96.load()
exog = data.exog
exog[:, 0] = np.log(exog[:, 0] + .1)
exog = np.column_stack((exog[:, 0], exog[:, 2], exog[:, 5:8]))
exog = sm.add_constant(exog)
cls.res1 = MNLogit(data.endog, exog).fit(method="newton", disp=0)
res2 = Anes()
res2.mnlogit_basezero()
cls.res2 = res2
