spss='crackers4.sav';

model  regression continuous   1 /
  cfn=2  cfnde=10  cfcsp=0
  toler=1e-008  tolem=0.01  tolran=1e-005  bayes=1  bayess2=1  bayeslat=1
  bayespoi=1
  iterem=250  iternr=50  itersv=50
  iterboot=500
  nseed=0  nseedboot=0
  nrand=10
  usemiss=No
  sewald=yes
 outsect=0x1c37
;
id yctrd;
dependent rating;
replicate ID;
predictor App1 App2 App3 App4 Flv1 Flv2 Flv3 Flv4 Tex1 Tex2 Tex3 Tex4;
covariate GENDER CITY AGE PUR_FREQ MOSTFREQ EDUCATIO INCOME avg2;
inactive GENDER CITY AGE PUR_FREQ MOSTFREQ EDUCATIO INCOME avg2;
cfactor 1 <- rating;
cfactor 2 <- rating App1 App2 App4 Flv4;
attr CITY nominal ;
attr GENDER nominal ;
attr AGE nominal ;
attr PUR_FREQ ordinal ;
attr MOSTFREQ ordinal ;
attr EDUCATIO nominal ;
attr INCOME nominal ;
attr avg2 ordinal ;
attr rating continuous ;
attr App1 ordinal ;
attr App2 ordinal ;
attr App3 ordinal ;
attr App4 ordinal ;
attr Flv1 ordinal ;
attr Flv2 ordinal ;
attr Flv3 ordinal ;
attr Flv4 ordinal ;
attr Tex1 ordinal ;
attr Tex2 ordinal ;
attr Tex3 ordinal ;
attr Tex4 ordinal ;
classindint ;
restrict Tex4 0;

end;