OpenMx Error Messages

unexpected string constant error message in mxModel
Hi there,
I'm looking at how neuroticism ("per_neurot_y1f") predicts later change in symptoms of anxiety (from Time 1 to Time 3). I'm not sure why I'm getting this error message about this particular string of my model. Here's my code.
manifests <- c("Time1newanxiety", "Time3anxiety", "per_neurot_y1f")
latents<-"F1"

the continuous part of the model is not positive definite
Hello,
I would like to ask your help with an error message that I cannot figure out.
First, some general details about my openMx version:
OpenMx version: 2.7.17 [GIT v2.7.17]
R version: R version 3.4.4 (2018-03-15)
Platform: x86_64-w64-mingw32
Default optimiser: CSOLNP
NPSOL-enabled?: No
OpenMP-enabled?: No
I am trying to do a bivariate Cholesky model with paths specifications, with a syntax that worked before...
For some reason I get the following error message:

Error message for mxCompare() with boot = T
Hi,
I want to compare a 2-class growth mixture model to a latent growth curve model in individually-varying time points framework (i.e., definition variables), and here is the code and error message and OpenMx version:
- Read more about Error message for mxCompare() with boot = T
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Error in svd(X) : infinite or missing values in 'x'
Dear OpenMx-ers,
For my research, I am running a latent variable model with an interaction effect between two latent variables on a latent outcome variable, all measured by ordinal and skewed manifest variables. I use WLS estimation and the matched pairs approach (Marsh et al., 2004) to model the latent interaction. I attached two simulated datasets:
* forumdata1: the true size of the latent interaction is 0
* forumdata2: the true size of the latent interaction effect is .04

Error in t(jac0C) %*% W
Dear OpenMx-ers,
- Read more about Error in t(jac0C) %*% W
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Ordinal covariance is not positive definite in data
Hi,
I would like to ask for help with an error:
Details about my openMX run:
OpenMx version: 2.7.12 [GIT v2.7.12-dirty]
R version: R version 3.4.1 (2017-06-30)
Platform: x86_64-w64-mingw32
Default optimiser: CSOLNP
I am trying to run a univariate model with three covariates-one categorical and two continuous. Unfortunately, when I get to the phase of model running (mxRun), no matter what I do, I receive the following error:

error code 6 in Univariate ACE model- Could it be related to missing data?
Hello,
I would like to ask for help with an error code 6:
Required details about my openMX run:
OpenMx version: 2.7.12 [GIT v2.7.12-dirty]
R version: R version 3.4.1 (2017-06-30)
Platform: x86_64-w64-mingw32
Default optimiser: CSOLNP

Error: Unknown reference 'rho' detected
I am trying to allow for correlation between some residual errors in a single common factor model with 7 methods. I want them to all equal a common correlation rho. The attached file shows how I coded the mxPath and mxAlgebra statements to link the covariances so that the covariance equals the product of the two standard deviations and the common correlation rho. When I run this using mxRun or mxTryHard:
fit.all.cov.deep2 <- mxRun(model.all.cov.deep2)
Error: Unknown reference 'rho' detected in the entity 'cov23' in model 'model_all_cov_deep2'
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OpenMx Does Not Provide Correct Results for Example Code?
I'm using the latest version of OpenMx on Ubuntu 16.04. I re-installed it a few minutes ago hoping it would fix what appears to be wrong. I'm also running OpenMx on Ubuntu 15.04 on another computer which appears to work correctly.
Here is the example code from mxTryHard:
library(OpenMx)
data(demoOneFactor) # load the demoOneFactor dataframe

Error Meesage from mxGenerateData from Documentation Example Code
I included "facLoads" in the mxModel arguments so I could get estimates of the factor loadings. (It was missing from code in the on-line documentation.)
When I try to use mxGenerateData, it gives an error.
http://openmx.psyc.virginia.edu/docs/OpenMx/2.6.7/_static/demo/OneFactorJoint_PathRaw.R
#
# Copyright 2007-2012 The OpenMx Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
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