How to ignore in case of no outliers in missing outliers jsl?

[#1]

I have a explore outlier jsl that runs on a big database. Sometimes the explore outlier doesn't find any outlier (because the data is quite tightly distributed) and the jsl gives an error. How do I add a ignore or try statement in the following script to skip the explore outlier code?

dt1 = Current Data Table();
eo = dt1 << Explore Outliers(
	Y( :var1 ),
	K Sigma( 2 ),
	Robust Fit Outliers,
	Where(
		:x == 1
	),
	Invisible
);
eoRep = Report(eo);
table = eoRep[TableBox(1)];
colList = eoRep[StringColBox(1)];
// Loop over these columns . . .
nCols = NItems(colList << get);
for(c=1, c<=nCols, c++,
	// Select this column (described by a row)
	CMD = Expr( table << setSelectedRows({colTBD}) );
	SubstituteInto(CMD, Expr(colTBD), Eval(c));
	CMD;
	// Update dt2 for this column: Cells that were considered outliers are coloured red
	eo << ColorCells(1);
	eo << ChangeToMissing(1);
	);

[#2]

I believe that you can bypass the processing by simply checking if zero outliers have been found

For( c = 1, c <= nCols, c++,
	If( (eoRep[Number Col Box( 3 )] << get)[c] != 0, 
	// Select this column (described by a row)
		CMD = Expr(
			table << setSelectedRows( {colTBD} )
		);
		Substitute Into( CMD, Expr( colTBD ), Eval( c ) );
		CMD;
	// Update dt2 for this column: Cells that were considered outliers are coloured red
		eo << ColorCells( 1 );
		eo << ChangeToMissing( 1 );
	)
);