SEM model : system is singular

Hi,

I have to do a spatial model for my master thesis. If I do a SEM or SAR
model i get the message:

Fehler in solve.default(asyvar, tol = tol.solve) :
 System ist f?r den Rechner singul?r: reziproke Konditionszahl =
3.61856e-20

In other posts i have read that the reason could be multicollinearity. I
have tested it with vif but all factors were below 2. I have also tried to
add random numbers like suggested in another post but i got the same error
message.
Instead of reading posts, which are often just guesses, do please read the 
help page, which says that you may rescale the variables to avoid the 
problem, whoich occurs when the spatial coefficient takes values that 
differ greatly from sigma squared and the other coefficients.
If i do an SAR with another method like "Matrix_J" i get the following error
message:

Fehler in as_dsTMatrix_listw(get("listw", envir = env)) :
 odd neighbours sum

Your weights appear not to be symmetric, which is a requirement for using 
Cholesky decomposition. This should probably be trapped earlier; the "LU" 
method should work for the same weights.
So i don't get results at any type of model. I have a 2380*2380 weighting
matrix could the size be a problem?

Not a problem on current hardware.

Hope this helps,

Roger
Thank you very much in advance

erwin

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Roger Bivand
Department of Economics, NHH Norwegian School of Economics,
Helleveien 30, N-5045 Bergen, Norway.
voice: +47 55 95 93 55; fax +47 55 95 95 43
e-mail: Roger.Bivand at nhh.no

SEM model : system is singular

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