st: weights with Gaussian Kernel in lpoly, Stata 11

[Nicolas Debarsy <ndebarsy@fundp.ac.be>]

Dear Statalist users,

In a nonparametric regression using the lpoly command, I would like to 
put different weights on observations.
However, when I want to use the Gaussian Kernel, I get the following error:

             cross():  3200  conformability error
  _lpoly_work():     -  function returned error
            <istmt>:     -  function returned error

For all the other kernels, the option [aw] runs.
Could you tell me if there is something special with the Gaussian kernel 
or if it is a bug in the lpoly ?
I'm using Stata 11.

Here is the code I used:

set obs 300
drawnorm x3 e
gen x32=x3^2
gen y=x3+2*x32+e
gen d=uniform()
lpoly y x3 [aw=d], kernel(gaussian)
lpoly y x3 [aw=d], kernel(epan2)

Already many thanks for your answer.
 Best,
Nicolas Debarsy


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