title:
  data from page 166 in eqs program.
  input adapted from appendix 6.3 page 166.
  figure 6.1 page 77.
  output. 

    table 6.2 (combined columns), page 79.
    note. correlation is standardized value of
      int with slope.

    also table 6.3 (cohort sequential column), computed
    based on intercept and slope values, e.g.
      age 12: .304 + 0*.394 = .304
      age 13: .304 + 1*.394 = .698
      age 14: .304 + 2*.394 = 1.092
      age 15: .304 + 3*.394 = 1.486
      age 16: .304 + 4*.394 = 1.88
data:  
  file is ch6co.dat;
  format is free;
  type is means covariance;
  ngroups = 4;
  nobservations = 248 250 231 215;
variable:  
  names are y1 y2 y3 y4 y5; 
  usevar =  y1-y5;
analysis:  
  type = general mgroup meanstructure;          
  iterations = 200;
model: 
  int slp | y1@0 y2@1 y3@2 y4@3 y5@4;   ! model for group 4
  [int]        (mint);
  [slp]        (mslp);
  int with slp (intslp);
  int          (vint);
  slp          (vslp);
  y1           (e12);
  y2           (e13);
  y3           (e14);
  y4           (e15);
  y5           (e16);
model g1:
  ! group 1 model
  int slp by y4@0 y5@0;
  y4@1;
  y5@1;
model g2:
  ! group 2 model
  int slp by y1@0 y5@0;
  y1@1;
  y5@1;
model g3:
  ! group 3 model
  int slp by y1@0 y2@0;
  y1@1;
  y2@1;
model g4:
  ! group 4 model, same as overall model
  ! don't really need to specify below.
  int slp | y1@0 y2@1 y3@2 y4@3 y5@4;
output: 
  tech1 samp standardized;