How to get spec limits in separate columns in 5 point summary table?

[#1]

The example script below gets me the 5 number summary in the format I need. However, I would also like to get the spec limits for each parameter (under Analysis Columns) , LSL and USL, in two separate columns in the final "Summary" data table? How to get this via JSL?

Also, is a another/better way to do what I am need without using Tabulate ()?

Names Default To Here( 1 );
Clear Log();
dt = Open( "$SAMPLE_DATA/Semiconductor Capability.jmp" );
col_names = dt << Get Column Group( "Processes" );

(dt << Tabulate(
	Show Control Panel( 0 ),
	Add Table(
		Column Table( Statistics( Min ) ),
		Column Table( Statistics( Mean, Median ) ),
		Column Table( Statistics( Max ) ),
		Column Table( Statistics( Std Dev ) ),
		Row Table(
			Grouping Columns( :lot_id, :wafer, :Wafer ID in lot ID ),
			Analysis Columns(
				Eval( col_names )

			)
		)
	)
)) << Make Into Data Table;

[#2]

You can use the Manage Limits system to do what you want

Names Default To Here( 1 );
Clear Log();
dt = Open( "$SAMPLE_DATA/Semiconductor Capability.jmp" );
col_names = dt << Get Column Group( "Processes" );

(tab = dt << Tabulate(
	Show Control Panel( 0 ),
	Add Table(
		Column Table( Statistics( Min ) ),
		Column Table( Statistics( Mean, Median ) ),
		Column Table( Statistics( Max ) ),
		Column Table( Statistics( Std Dev ) ),
		Row Table(
			Grouping Columns( :lot_id, :wafer, :Wafer ID in lot ID ),
			Analysis Columns(
				Eval( col_names )

			)
		)
	)
)) << Make Into Data Table;
dtTab = current data table();
tab << close window;

procCols = Associative Array(dtTab:Analysis Columns << get values) << get keys;
obj = dt << Manage Limits(
	Process Variables ( eval(procCols) )
);
obj << Save to Tall Limits Table;
dtLimits = current data table();
obj << close window;
try( window("Consistency Problem") << close window );

dtTab << Update(
	with( dtLimits ),
	Match Columns( :Analysis Columns = :Variable ),
	Add Columns from Update Table( :LSL, :Target, :USL)
);

[#3]

@txnelson Thanks. I get an error  in my JMP 16.2