Hi R-colleagues.

I have been using the sem(sem) function.  It uses
maximum likelyhood as optimizing. method.
According to simulation study in UmeƄ Sweden
(http://www.stat.umu.se/kursweb/vt07/stad04mom3/?download=UlfHolmberg.pdf
Sorry it is in swedish, except the abstract)
maximum likelihood is OK for large samples and normal distribution
the SEM-problem should be optimized by GLS (Generalized Least Squares).


So to the question:

Is there any R-function that solves SEM with GLS?


Ralf Finne
Novia University of Applied Science
Vasa  Finland

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