On Mon, Jul 28, 2025 at 9:34 AM Sven Schreiber
<sven.schreiber(a)fu-berlin.de> wrote:
 Am 28.07.2025 um 14:23 schrieb Allin Cottrell:
 >
 > There's one case that provokes a "missing data" error. That's
with
 > "add", when one or more of the candidate series for addition include
 > missing values within the original estimation range that are not
 > aligned with missing values in the dependent variable or the original
 > regressors. We refuse that case since it would force a reduction of
 > the sample relative to the original estimation. A simple example follows.
 That sounds like the right thing to do. BTW, I also think that the
 original sample range should be maintained with "omit" even if the
 variable responsible for the sample restriction were dropped. I believe
 this is already the case (right?), but maybe we should also have a test
 case for that. I can make one up if you want. 
Yes, that's right: we preserve the original sample, even when omitting
a regressor with missing values would permit a bigger sample.
Allin