On Fri, 12 Jul 2019, Sven Schreiber wrote:
 Am 12.07.2019 um 16:15 schrieb Allin Cottrell:
 > Neither stata nor R reject this specification, but the "arguably
 > strange" output from gretl is indeed an artifact of sub-par numerical
 > precision in the unbalanced case using Cholesky decomposition. I've
 > switched to QR for this task and we now show something similar to
 > stata:
 > ...
 >               coefficient   std. error   t-ratio   p-value
 >    -------------------------------------------------------
 >    const        5.12318      0.00000       NA        NA
 >    INDOUTPT     0.00000      0.00000       NA        NA
 >
 > Mean dependent var   5.123181   S.D. dependent var   2.678095
 Ah, very good, this looks much "better", thanks.
 > foreign language=stata --send-data=L
 >    xtset unit time
 >
 > foreign language=R --send-data=L
 Something else: BTW, the guide mentions that --send-data is not
 available with Ox, but is silent for the Python case. Actually Artur and
 I are working (not too hard) on more tools for passing stuff to Python,
 but enabling --send-data would also be nice. What Python/numpy functions
 would you need to make this work? 
Basically just a CSV reading function -- and presumably a target
structure that handles variable names, to make a distinction with just
sending data in matrix form.
Allin