spss='heinen_mf.sav';

model:'B1. 1-class model with covariate'  cluster 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=0  nseedboot=0
  nrand=10
  usemiss=No
  sewald=yes
 outsect=0x1d17
;
casewgt weight;
indicator item1 item2 item3 item4 item5;
covariate female;
attr female ordinal ;
attr item1 nominal ;
attr item2 nominal ;
attr item3 nominal ;
attr item4 nominal ;
attr item5 nominal ;

end;
model:'B2. 2-class model with covariate'  cluster 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=2003645  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1d17
;
casewgt weight;
indicator item1 item2 item3 item4 item5;
covariate female;
attr female ordinal ;
attr item1 nominal ;
attr item2 nominal ;
attr item3 nominal ;
attr item4 nominal ;
attr item5 nominal ;

end;
model:'B3. 3-class model with covariate'  cluster 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=1683120  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1d17
;
casewgt weight;
indicator item1 item2 item3 item4 item5;
covariate female;
attr female ordinal ;
attr item1 nominal ;
attr item2 nominal ;
attr item3 nominal ;
attr item4 nominal ;
attr item5 nominal ;

end;
model:'B4. 3-class model with covariate and two-direct covariate-item effects'  cluster 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=1565108  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1d17
;
casewgt weight;
indicator item1 item2 item3 item4 item5;
covariate female;
resid item5:female item3:female;
attr female ordinal ;
attr item1 nominal ;
attr item2 nominal ;
attr item3 nominal ;
attr item4 nominal ;
attr item5 nominal ;

end;

model:'C. Unrestricted multiple-group LC model (uses known-class option)'  cluster 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=906939  nseedboot=0
  nrand=0
  usemiss=No
  sewald=yes
 outsect=0x1d17
;
casewgt weight;
indicator item1 item2 item3 item4 item5;
covariate female2 female;
attr female ordinal ;
attr item1 nominal ;
attr item2 nominal ;
attr item3 nominal ;
attr item4 nominal ;
attr item5 nominal ;
attr female2 perfect ;
know  2  * 6
 0 : 1 1 1 0 0 0 :
 1 : 0 0 0 1 1 1 :
 ;

end;