Dear Lutz,
In the first analysis, it is the Trait.hh term which generates a
correlation > 1
so the XFA should be applied to that term rather than the genetic term
which
only had a correlation of .31
i.e.
Fit
XFA model
hkwPre hkwPst ~ Trait !r xfa(Trait,1).hh Trait.id
1 2 2
0
Trait 0 US 0.54 !GUFU
0.0 0.19
xfa(Trait,1).hh 2
xfa(Trait,1) 0 XFA1
0 0 0.28 0.14
hh
Trait.id 2
Trait 0 US
.11 .024 .055
id 0 AINV
Further more, the .pin file mechanism has not been extended to handle XFA
terms,
so it will be necessary to do the sums by hand (foregoing an estimate of
the SE).
I presume you have fixed the error covariance at zero because there are no
instances
where both hkwPre and hkwPst are obtained on the same subject(unit).
Grace, mercy and peace to you from God our Saviour Jesus Christ
Arthur Gilmour PhD
mailto:Arthur.Gilmour_at_dpi.nsw.gov.au
Principal Research Scientist (Biometrics)
NSW Department of Primary Industries
Orange Agricultural Institute, Forest Rd, ORANGE, 2800, AUSTRALIA
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Received on Tue Dec 14 2006 - 08:59:06 EST
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