Running examples in ‘OpenMx-Ex.R’ failed
The error most likely occurred in:

> ### Name: mxBootstrapEval
> ### Title: Evaluate Values in a bootstrapped MxModel
> ### Aliases: mxBootstrapEval mxBootstrapEvalByName
> 
> ### ** Examples
> 
> 
> library(OpenMx)
> 
> testModel <- mxModel(
+   model="testModel",
+   mxData(data.frame(weight=1.0, value=1:10), "raw", weight = "weight"),
+   mxMatrix("Full", nrow = 1, ncol = 1, values = 1, free=TRUE, name = "A"),
+   mxAlgebra(data.weight * filteredDataRow, name = 'rowAlgebra'),
+   mxAlgebra((sum(rowResults) - A)^2, name = 'reduceAlgebra'),
+   mxFitFunctionRow('rowAlgebra', 'reduceAlgebra', 'value'))
> 
> testModel <- mxRun(testModel)
Running testModel with 1 parameter
Warning: In model 'testModel' Optimizer returned a non-zero status code 6. The 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)
> testBoot <- mxBootstrap(testModel)
Running testModel with 1 parameter
> summary(testBoot)
Summary of testModel 
 
free parameters:
              name matrix row col Estimate
1 testModel.A[1,1]      A   1   1 59.64168

Model Statistics: 
               |  Parameters  |  Degrees of Freedom  |  Fit (-2lnL units)
       Model:              1                     -1              45.04358
   Saturated:             NA                     NA                    NA
Independence:             NA                     NA                    NA
Number of observations/statistics: 10/0

Information Criteria: 
      |  df Penalty  |  Parameters Penalty  |  Sample-Size Adjusted
AIC:       47.04358               47.04358                       NA
BIC:       47.34617               47.34617                 44.35044
CFI: NA 
TLI: 1   (also known as NNFI) 
RMSEA:  0  [95% CI (NA, NA)]
Prob(RMSEA <= 0.05): NA
To get additional fit indices, see help(mxRefModels)
timestamp: 2017-05-06 05:09:37 
Wall clock time (HH:MM:SS.hh): 00:00:20.44 
OpenMx version number: 2.7.11 
Need help?  See help(mxSummary) 

> 
> mxBootstrapEval(A^2, testBoot)
Error in mxBootstrapEval(A^2, testBoot) : 
  Less than 3 replications are available. Use mxBootstrap to increase the number of replications.
Execution halted