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Please note that SAS/STAT® and SAS/GRAPH® are required in order to run this sample program.

data a(drop=i seed);
   seed = 123456789; 
   do i = 1 to 50;
      x = ranuni(seed);
      gender = 'female';
      y1 = int(2*ranuni(seed));
      y2 = 2*x + abs((2*rannor(seed)));
      output;
      x = ranuni(seed);
      gender = 'male';
      y1 = int(2*ranuni(seed));
      y2 = 5*x + abs((2*rannor(seed)));
      output;
   end;
run;

proc sort data=a;
   by gender x;
run;

ods listing close;

proc loess data=a;
   by gender;
   model y1 y2 = x / clm;
   score / clm;
   ods output ScoreResults=SR;
   title1 "LOESS fit for two groups using BY stmt";
   title2 "two responses are modeled for illustration:";
   title3 "y1 - binary response    ";
   title4 "y2 - continuous response";
run;

ods html image_dpi=100 file='loessfit.html' path='.' style=listing;
ods graphics / reset noborder width=600px height=400px;

title1 "LOESS Fit Plot";
proc sgplot data=SR;  
   scatter x=x y=y1 / group=gender;
   series x=x y=p_y1 / group=gender;
   band x=x lower=lcl_y1 upper=ucl_y1 / group=gender transparency=0.75;
   title2 "Binary Response (Y1) - Transparency=0.75";
run;

proc sgplot data=SR;  
   scatter x=x y=y2 / group=gender;
   series x=x y=p_y2 / group=gender;
   band x=x lower=lcl_y2 upper=ucl_y2 / group=gender transparency=0.5;
   title2 "Continuous Response (Y2) - Transparency=0.5";
run;

ods html close;
ods listing;

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