Polynomial loglinear models for one-, two-, and higher-way contingency tables have important applications to measurement and assessment. They are essentially regarded as a smoothing technique, which is commonly referred to as loglinear smoothing. A SAS IML (SAS Institute, 2002a) macro was created to implement loglinear smoothing according to Holland and Thayer's (2000) specifications. This macro is flexible enough to handle complicated smoothing problems, has a higher convergence rate than SAS PROC GENMOD (SAS Institute, 2002b), and produces a variety of model fit statistics. An ETS Research Report that describes the SAS IML macro (Moses & von Davier, 2006) is available at www.ets.org/research.