def setupClass(cls):
from results.results_regression import LongleyRTO
data = longley.load()
res1 = OLS(data.endog, data.exog).fit()
res2 = LongleyRTO()
res2.wresid = res1.wresid # workaround hack
cls.res1 = res1
cls.res2 = res2
res_qr = OLS(data.endog, data.exog).fit(method="qr")
cls.res_qr = res_qr
def setupClass(cls):
from results.results_regression import LongleyRTO
data = longley.load()
res1 = OLS(data.endog, data.exog).fit()
res2 = LongleyRTO()
res2.wresid = res1.wresid # workaround hack
cls.res1 = res1
cls.res2 = res2
res_qr = OLS(data.endog, data.exog).fit(method="qr")
cls.res_qr = res_qr