I have often found this to happen if the scale of one variable is
orders of magnitude different than the scale of other variables. Have
you tried inspecting the covariance matrix and log transforming any
such variables?
On Feb 22, 2010, at 8:14 AM, Uwe Ligges wrote:
On 20.02.2010 08:51, Dan Edgcumbe wrote:
I'm trying to do some confirmatory factor analysis on some data. My
SEM
model solves in 22 iterations, but when I try to look at the
modification
indices, using mod.indices, I get the following error message:
Error in solve.default(hessian) :
system is computationally singular: reciprocal condition number =
4.40283e-18
What does this mean?
That the method you apply tries to invert some object called
"hessian" (maybe a hessian? ;-)) but fails since a singular matrix
cannot be inverted. Perhaps (as I often found for people doing sem
analyses) you have less observations than parameters to estimate or
only certain combinations for some factors?
Uwe Ligges
Many thanks,
Dan
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