Hello,
I'm trying to run a lagsarlm (maximum likelihood estimation of a spatial lag
model) in the spdep library ; but R gives following error message:
Error in solve.default(inf, tol = tol.solve) :
system is computationally singular: reciprocal condition number = 4.20137e-12
I get the same message when I try to run de lagsarlm with a bigger data set
(4333 regions).
The command I used:
TestLag<-lagsarlm( mean_price ~ transcount+ C1_5_1+ C1_5_2+ C1_5_3+ C1_5_4,
data=DataB,transcecB.listw)
summary(transcecB.listw)
Characteristics of weights list object:
Neighbour list object:
Number of regions: 521
Number of nonzero links: 2904
Percentage nonzero weights: 1.069846
Average number of links: 5.573896
Link number distribution:
1 2 3 4 5 6 7 8 9 10 11 13
2 17 46 86 116 108 68 43 23 7 2 3
2 least connected regions:
12070513 12070504 with 1 link
3 most connected regions:
12060503 11040601 11020701 with 13 links
Weights style: W
Weights constants summary:
n nn S0 S1 S2
W 521 271441 521 200.3434 2169.626
If any further information is needed, please let me know.
I hope this is the right platform to get some help in solving this problem.
Best regards,
Marie-Line Glaesener
Phd. Student
Unité de Recherche IPSE (Identités. Politiques, Sociétés, Espaces) Laboratoire
de Géographie et Aménagement du Territoire
UNIVERSITÉ DU LUXEMBOURG
CAMPUS WALFERDANGE
Route de Diekirch / BP 2
L-7201 Walferdange
Luxembourg
www.geo.ipse.uni.lu<http://www.geo.ipse.uni.lu>
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