'Results generated with:
data = sm.datasets.spector.load()
data.exog = sm.add_constant(data.exog, prepend=True)
alpha = 3 * np.array([0, 1, 1, 1])
res2 = sm.Logit(data.endog, data.exog).fit_regularized(
method="l1", alpha=alpha, disp=0, trim_mode=\'size\',
size_trim_tol=1e-5, acc=1e-10, maxiter=1000)'

def logit(self):

    nan = np.nan
    self.params = [(-4.10271595), 0.0, 0.15493781, 0.0]
    self.conf_int = [[(-9.15205122), 0.94661932], [nan, nan], [(-0.06539482), 0.37527044], [nan, nan]]
    self.bse = [2.5762388, nan, 0.11241668, nan]
    self.nnz_params = 2
    self.aic = 42.09143936858367
    self.bic = 45.02291117418312
    self.cov_params = [[6.63700638, nan, (-0.28636261), nan], [nan, nan, nan, nan], [(-0.28636261), nan, 0.01263751, nan], [nan, nan, nan, nan]]
