Am 25.07.2025 um 16:48 schrieb Cottrell, Allin:
 On Fri, Jul 25, 2025 at 9:53 AM Sven Schreiber
 <sven.schreiber(a)fu-berlin.de> wrote:
> I can understand why one wants to focus on a candidate variable in each
> round, but doesn't that contradict the documentation of omit --auto:
> 'The “best” candidate at each step is then that whose omission gives the
> greatest improvement (reduction) in the selected criterion.' ??
 BIC = -2 * loglik + k * log(n)
 The sample size, n, is a constant in context, and dropping any
 regressor will reduce k by 1. All that matters for the comparison of
 candidates is the least squares loglikelihood, and the SSR is only
 variable in that calculation. Omitting the regressor with the smallest
 absolute t-ratio will produce the smallest possible increase in the
 SSR,  and hence the best post-omission BIC. 
Ha, excellent point!
-s