Hi guys,

I'm trying to fit a saturated model where the variable, 'manifests', includes all of the variables in the model. The non-saturated structural model runs fine, but I get an error when I fit the saturated model:

Error: The job for model 'Saturated Model2' exited abnormally with the error message: Expected covariance matrix is not positive-definite in data row 79 at iteration 0.

I have tried fiddling with the starting values, but to no avail. By the way, I know that all=TRUE is being deprecated, and I have written the same code in a longer form without all=TRUE, but this was shorter, so I thought it'd be easier to post. Below is the model:

saturated_model <- mxModel(paste("Saturated Model"),

type="RAM",

manifestVars=manifests,

#Variances and Covariances

mxPath(

from=manifests,

arrows=2,

free=TRUE,

all=TRUE,

values=.5,

#Means

mxPath(

from="one",

to=manifests,

arrows=1,

free=TRUE,

mxData(observed=modeldata, type="raw")

)

saturatedModel_run <- mxRun(saturated_model)

Any help would be greatly appreciated. Thanks!