error on running a factor analysis

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"),
manifestVars=c("pageviews","downloads","members"),
latentVars="attractiveness",
# residual variances
mxPath(from=c("pageviews","downloads","members"),
arrows=2,
free=TRUE,
values=c(1,1,1),
labels=c("e1","e2","e3")
),
# latent variance
mxPath(from="attractiveness",
arrows=2,
free=TRUE,
values=1,
labels ="varAttractiveness"
),
# factor loadings
mxPath(from="attractiveness",
to=c("pageviews","downloads","members"),
arrows=1,
free=c(FALSE,TRUE,TRUE),
values=c(1,1,1),
labels =c("l1","l2","l3")
),
# means
mxPath(from="one",
to=c("pageviews","downloads","members","attractiveness"),
arrows=1,
free=c(TRUE,TRUE,TRUE,FALSE),
values=c(1,1,1,0),
labels =c("meanpageviews","meandownloads","meanmembers",NA)
)
) # close model

AttractivenessFactorFit <- mxRun(AttractivenessFactorModel)
__________
Output:
Running Attractiveness Factor Model
Warning message:
In model 'Attractiveness Factor Model' NPSOL returned a non-zero status code 6. model does not satisfy the first-order optimality conditions to the required accuracy, and no improved point for the merit function could be found during the final linesearch (Mx status RED)