Hi all, I am learning to use the Proc template for classification panels while encountering a problem with "Inset" statement. I used the example code SAS(R) 9.3 Graph Template Language: User's Guide and added the R-square to each panel. However, the graph cannot show the superscripts for R 2 . Is there a way to show superscripts or Unicode in Inset statement for Classification Panels? here shows my modified sas codes and ods output, where R 2 showed correctly in the ods table and graph title and footnote, ods escapechar="^"; proc template; define statgraph panelinset; begingraph / designwidth=495px designheight=350px;   entrytitle "Title with R" {sup "2"} "=Rsquare";   entryfootnote "Footnote with R" {sup "2"} "=Rsquare";   layout datapanel classvars=(dose) / rows=1         inset=(F PROB Rsquare)   insetopts=(autoalign=auto textattrs=(size=7pt)) ;   layout prototype;       bandplot    x=days limitupper=uclm limitlower=lclm / name="clm"                     display=(fill)  fillattrs=GraphConfidence                     legendlabel="95% Confidence Limits";       bandplot    x=days limitupper=ucl limitlower=lcl / name="cli"                     display=(outline) outlineattrs=GraphPredictionLimits                     legendlabel="95% Prediction Limits";       seriesplot  x=days y=predicted / name="reg"                     lineattrs=graphFit legendlabel="Fit";       scatterplot x=days y=response / primary=true                     markerattrs=(size=5px) datatransparency=.5;     endlayout;     sidebar / align=top;     endsidebar;     sidebar / align=bottom;       discretelegend "reg" "clm" "cli" / across=3;     endsidebar;   endlayout; endgraph; end; run; data trial; do Dose = 100 to 300 by 100;   do Days=1 to 30;    do Subject=1 to 10;    Response=log(days)*(400-dose)* .01*ranuni(1) + 50;    output;    end;   end; end; run; proc glm data=trial alpha=.05 outstat=outstat ;   ods output FitStatistics=fit;   by dose;   model response=days / p cli clm;   output out=stats         lclm=lclm uclm=uclm lcl=lcl ucl=ucl predicted=predicted ; run; quit; data outstat2; merge outstat fit; by dose; run; data inset;   set outstat2 (keep=F PROB _TYPE_ Rsquare where=(_TYPE_="SS1"));   label F="F Value " PROB="Pr > F " Rsquare="R^{super 2} = ";     format F best6. PROB pvalue6.4 Rsquare 4.2; run; proc print data=inset label; run; data stats2;   merge stats inset; run; proc sgrender data=stats2 template=panelinset; run; and ods output, where R 2 showed correctly in the ods table and graph title and footnote. thanks in advance, ... View more