spss='coffee_responses.sav';

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=417738  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
chdes = "F:\smabs\coffee_alternatives.sav";
  attrid altid;
chset = "F:\smabs\coffee_sets.sav";
  csetid setid;
dependent choice;
replicate caseid;
chidv setid;
chvar brand capacity price filter thermos;
chnom brand capacity price filter thermos;
attr choice 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=833929  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent choice;
replicate caseid;
chidv setid;
chvar brand capacity price filter thermos;
chnom brand capacity price filter thermos;
attr choice 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=1621799  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent choice;
replicate caseid;
chidv setid;
chvar brand capacity price filter thermos;
chnom brand capacity price filter thermos;
attr choice 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=1669559  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent choice;
replicate caseid;
chidv setid;
chvar brand capacity price filter thermos;
chnom brand capacity price filter thermos;
attr choice 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=1125075  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent choice;
replicate caseid;
chidv setid;
chvar brand capacity price filter thermos;
chnom brand capacity price filter thermos;
attr choice 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=2258575  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent choice;
replicate caseid;
chidv setid;
chvar brand capacity price filter thermos;
chnom brand capacity price filter thermos;
attr choice ordinal ;

end;
model:'5-class restricted'  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=2079543  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent choice;
replicate caseid;
chidv setid;
chvar brand capacity price filter thermos;
chnom brand capacity price filter thermos;
restrictch brand 0 0 0 4 5;
restrictch capacity 1 2 3 0 5;
restrictch price 1 0 3 0 0;
restrictch filter 1 2 3 4 0;
restrictch thermos 1 2 0 0 0;
attr choice ordinal ;

end;
model:'1-CFactor random coefficients'  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=1688524  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent choice;
replicate caseid;
chidv setid;
chvar brand capacity price filter thermos;
chnom brand capacity price filter thermos;
cfactorch 1 <- brand capacity price filter thermos;
attr choice ordinal ;

end;
model:'2-CFactor random coefficients'  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=1814998  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent choice;
replicate caseid;
chidv setid;
chvar brand capacity price filter thermos;
chnom brand capacity price filter thermos;
cfactorch 1 <- brand capacity price filter thermos;
cfactorch 2 <- brand capacity price filter thermos;
attr choice ordinal ;

end;
model:'restricted 2-CFactor random coefficients'  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=37093  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1c17
;
dependent choice;
replicate caseid;
chidv setid;
chvar brand capacity price filter thermos;
chnom brand capacity price filter thermos;
cfactorch 1 <- brand capacity thermos;
cfactorch 2 <- brand capacity price;
attr choice ordinal ;

end;