I frequently save neural network prediction formulas and have not observed that behavior, can you try to reproduce the problem using sample data?

This script copies neural network columns from one table to another. Predictions in the two tables should be identical to eachother each time the script runs, although they will change each time the script runs.

```
Names default to here( 1);
//Open two copies of a table
dt = Open( "$Sample_data/iris.jmp" );
dt2 = Eval( dt << Get Script );
//Neural Network
nn = dt << Neural(
Y( :Sepal length ),
X( :Sepal width, :Petal length, :Petal width ),
Informative Missing( 0 ),
Validation Method( "Holdback", 0.3333 ),
Fit( NTanH( 3 ) )
);
//Find the report
nn_fit = (nn << XPath("//OutlineBox[@helpKey='Neural Model Report']"))[1];
//Save Formulas
( nn_fit << Get Scriptable Object ) << Save Formulas;
//Copy Formulas to second table
For( i = 6, i <= 9, i++,
Eval( Eval Expr( dt2 << Expr( Column( dt, i ) << Get Script ) ) )
);
```