Dear ASREML listing members,
I want to fit a random regression model for days open in dairy cattle, each cow
had information from its first to fith calving (5 records per cow). The
covariate is age at calving in months (acm). The code that I wrote is:
anim * !P
line * !A
parity * !I
ys * !I
acm
do
newped.txt !MAKE #pedigree file
datdofp1.csv !CSV #data file
do ~mu line parity ys leg(acm,-1) !r leg(acm,1).anim ide(anim).leg(acm,1) !f mv
0 0 2
leg(acm,1).anim 2
2 acm US !GP !+3
.27
0.08 0.07
1644 0 AINV
ide(anim).leg(acm,1) 2
1644 0 IDEN
2 0 US !GP !+3
0.16
0.147 0.21
There is 1644 individuals in the pedigree file, and 766 with records (data
file). Some cows have missing values for the response variable and some fixed
effects. At this point I worked under the assumption of homogenous residual
variance.
The code was not converged, and I got the following message from *.asr file.
NOTICE: 3 (more) singularities,
1 LogL=-8844.07 S2= 5572.3 1784 df
2 LogL=-8843.12 S2= 5583.3 1784 df : 2 components constrained
3 LogL=-8842.98 S2= 5571.3 1784 df : 1 components constrained
Warning: EM updates for 1 positive definite US structure(s).
4 LogL=-8843.05 S2= 5520.3 1784 df : 2 components constrained
5 LogL=-8843.05 S2= 5520.3 1784 df
Warning: Since fault 1009 occured during the last iteration
results reported may be erroneous
…………
Last line read was:
13 1009 3830 3830 1000
Finished: 06 Feb 2007 13:55:52.437 Unable invert R or G [US?] matrix
What is the meaning of fault 1009?, and How I can solve it?
Thanks in advance,
Gustavo
Gustavo A. Gutierrez
Graduate student
Animal Breeding and Genetics
Iowa State University
227 Kildee Hall, Ames
phone office:515-2942712
IA 50011-3150
http://www.ans.iastate.edu/stud/grad/directory/?id=ggr03
Received on Sun Feb 07 2007 - 13:53:01 EST
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