Confirmatory Factor Analysis and Measurement Models

I'm running a factor analysis, which I have done before using EQS, with OpenMx and finding an error. The code and the output are below. I'd appreciate any diagnostics and directions!

Regards,
Carlos.
_____________
#load library
require(OpenMx)

#data
AttractivenessDataRaw <- read.table("/home/pos/carlosdenner/Desktop/logattractiveness.txt",header=TRUE)
names(AttractivenessDataRaw)

#model specification
AttractivenessFactorModel<-mxModel("Attractiveness Factor Model",
type="RAM",
mxData(
observed=AttractivenessDataRaw,
type="raw"),

Hi All,
I've been reviewing the documentation, and I cannot find a procedure for reading in or analyzing multiple data sets resulting from the use of multiple imputation. I saw brief mention of FIML, but I generally use MI when I'm addressing missing data in my analyses. For me, a method of analyzing multiple datasets is imperitive in any package I'm going to be using in my day to day work.

Is there anyone out there who may be able to offer some insight? Am I simply missing something in the documentation?

Thanks Much