data='COFFEE.DAT';

model:'1-class'  choice 1 /
  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=94114  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
chdes = 1;
dependent ch;
replicate id;
chidv set;
chvar brand1 brand2 cap1 cap2 price1 price2 filter therm;
chnum brand1 brand2 cap1 cap2 price1 price2 filter therm;
attr ch ordinal ;

end;
model:'2-class'  choice 2 /
  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=1576527  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent ch;
replicate id;
chidv set;
chvar brand1 brand2 cap1 cap2 price1 price2 filter therm;
chnum brand1 brand2 cap1 cap2 price1 price2 filter therm;
attr ch ordinal ;

end;
model:'3-class'  choice 3 /
  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=153121  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent ch;
replicate id;
chidv set;
chvar brand1 brand2 cap1 cap2 price1 price2 filter therm;
chnum brand1 brand2 cap1 cap2 price1 price2 filter therm;
attr ch ordinal ;

end;
model:'4-class'  choice 4 /
  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=1619515  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent ch;
replicate id;
chidv set;
chvar brand1 brand2 cap1 cap2 price1 price2 filter therm;
chnum brand1 brand2 cap1 cap2 price1 price2 filter therm;
attr ch ordinal ;

end;
model:'5-class'  choice 5 /
  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=1604686  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent ch;
replicate id;
chidv set;
chvar brand1 brand2 cap1 cap2 price1 price2 filter therm;
chnum brand1 brand2 cap1 cap2 price1 price2 filter therm;
attr ch ordinal ;

end;
model:'6-class'  choice 6 /
  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=1534798  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent ch;
replicate id;
chidv set;
chvar brand1 brand2 cap1 cap2 price1 price2 filter therm;
chnum brand1 brand2 cap1 cap2 price1 price2 filter therm;
attr ch ordinal ;

end;
model:'1-CFactor random coefficients model'  choice 1 /
  cfn=1  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=898796  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
chdes = 1;
dependent ch;
replicate id;
chidv set;
chvar brand1 brand2 cap1 cap2 price1 price2 filter therm;
chnum brand1 brand2 cap1 cap2 price1 price2 filter therm;
cfactorch 1 <- brand1 brand2 cap1 cap2 price1 price2 filter therm;
attr ch ordinal ;

end;
model:'2-CFactor random coefficients model'  choice 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=2027678  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
chdes = 1;
dependent ch;
replicate id;
chidv set;
chvar brand1 brand2 cap1 cap2 price1 price2 filter therm;
chnum brand1 brand2 cap1 cap2 price1 price2 filter therm;
cfactorch 1 <- brand1 brand2 cap1 cap2 price1 price2 filter therm;
cfactorch 2 <- brand1 brand2 cap1 cap2 price1 price2 filter therm;
attr ch ordinal ;

end;