Dear @abmayfield , I think there is no need to specify 2nd order effects, as models like neural and boosted tree can model them naturally, as they are complex enough. You can try below example, and e.g. in the profiler you can specifiy to review the interactions w/o having specified them for neural. Higher order effects are needed to specify especially for regression models, because w/o the formula behind would not allow quadratic effects or interactions.

```
Names Default To Here( 1 );
dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Profiler(
Y(
:Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
:Pred Formula HARDNESS
)
);
obj << Interaction Profiler( 1 );
Neural(
Y( :ABRASION, :MODULUS, :ELONG, :HARDNESS ),
X( :SILICA, :SILANE, :SULFUR ),
Informative Missing( 0 ),
Validation Method( "Holdback", 0.3333 ),
Fit(
NTanH( 3 ),
Profiler(
1,
Desirability Functions( 1 ),
Interaction Profiler( 1 ),
Term Value(
SILICA( 1.2, Lock( 0 ), Show( 1 ) ),
SILANE( 50, Lock( 0 ), Show( 1 ) ),
SULFUR( 2.3, Lock( 0 ), Show( 1 ) )
)
)
)
);
```

Georg