//LG5.1//
version = 5.1
infile 'Exercise 6 (LPA) Data for LG.csv' delim = comma quote = single


model
title '[6A] Latent Profile Analysis (LPA) without covariate';
options
   maxthreads=8;
   algorithm 
      tolerance=1e-008 emtolerance=0.01 emiterations=250 nriterations=50 ;
   startvalues
      seed=0 sets=16 tolerance=1e-005 iterations=50;
   bayes
      categorical=1 variances=0 latent=0 poisson=1;
   montecarlo
      seed=0 sets=0 replicates=500 tolerance=1e-008;
   quadrature  nodes=10;
   missing  excludeall;
   output      
      parameters=effect  betaopts=wl standarderrors profile probmeans=posterior
      bivariateresiduals estimatedvalues=model;
variables
   dependent Agreeableness continuous, Conscientiousness continuous,
      Extroversion continuous, Neuroticism continuous, Openness continuous;
   latent
      Cluster nominal 5;
equations
   Cluster <- 1;
   Agreeableness <- 1 + Cluster;
   Conscientiousness <- 1 + Cluster;
   Extroversion <- 1 + Cluster;
   Neuroticism <- 1 + Cluster;
   Openness <- 1 + Cluster;
end model