class TestDataDimensions(CheckRegressionResults):
def __init__(self):
np.random.seed(54321)
self.endog_n_ = np.random.uniform(0,20,size=30)
self.endog_n_one = self.endog_n_[:,None]
self.exog_n_ = np.random.uniform(0,20,size=30)
self.exog_n_one = self.exog_n_[:,None]
self.degen_exog = self.exog_n_one[:-1]
self.mod1 = OLS(self.endog_n_one, self.exog_n_one)
self.mod1.df_model += 1
#self.mod1.df_resid -= 1
self.res1 = self.mod1.fit()
# Note that these are created for every subclass..
# A little extra overhead probably
self.mod2 = OLS(self.endog_n_one, self.exog_n_one)
self.mod2.df_model += 1
self.res2 = self.mod2.fit()
def check_confidenceintervals(self, conf1, conf2):
assert_almost_equal(conf1, conf2(), DECIMAL_4)
class TestNxNxOne(TestDataDimensions):
def __init__(self):
super(TestNxNxOne, self).__init__()
self.mod2 = OLS(self.endog_n_, self.exog_n_one)
self.mod2.df_model += 1
self.res2 = self.mod2.fit()
