model
  {
  for( i in 1:N ) {
    Class1[i] ~ dbern(p[i])
    logit(p[i]) <- beta.0.star + 
      beta.1*(Adhes[i] - mean(Adhes[])) +
      beta.2*(BNucl[i] - mean(BNucl[])) + 
      beta.3*(Chrom[i] - mean(Chrom[])) + 
      beta.4*(NNucl[i] - mean(NNucl[])) + 
      beta.5*(Thick[i] - mean(Thick[]))
    }
  beta.0 <- beta.0.star - beta.1*mean(Adhes[]) - 
    beta.2*mean(BNucl[]) - beta.3*mean(Chrom[]) - 
    beta.4*mean(NNucl[]) - beta.5*mean(Thick[])
  beta.0.star ~ dnorm(0.0,0.000001)
  beta.1 ~ dnorm(0.0,0.000001)
  beta.2 ~ dnorm(0.0,0.000001)
  beta.3 ~ dnorm(0.0,0.000001)
  beta.4 ~ dnorm(0.0,0.000001)
  beta.5 ~ dnorm(0.0,0.000001)
  }

list( N=681)

Class1[] Adhes[] BNucl[] Chrom[] NNucl[] Thick[] 
1 1 1 3 1 5 
1 5 10 3 2 5 
1 1 2 3 1 3 
1 1 4 3 7 6 
1 3 1 3 1 4 
0 8 10 9 7 8 
1 1 10 3 1 1 
1 1 1 3 1 2 
1 1 1 1 1 2 
1 1 1 2 1 4 
1 1 1 3 1 1 
1 1 1 2 1 2 
0 3 3 4 4 5 
1 1 3 3 1 1 
0 10 9 5 5 8 
0 4 1 4 3 7 
1 1 1 2 1 4 
1 1 1 3 1 4 
0 6 10 4 1 10 
1 1 1 3 1 6 
0 10 10 5 4 7 
0 3 7 7 10 10 
1 1 1 2 1 3 
1 1 1 3 1 1 
0 4 7 3 6 5 
1 1 1 2 1 3 
1 1 1 2 1 5 
1 1 1 2 1 2 
1 1 1 1 1 1 
1 1 1 2 1 3 
1 1 1 3 1 2 
0 3 5 7 4 10 
1 2 1 3 1 2 
1 1 1 2 1 3 
1 1 1 2 1 2 
0 8 1 8 9 10 
1 1 1 7 1 6 
0 9 10 5 6 5 
0 3 7 7 5 2 
0 1 3 6 5 10 
0 2 10 7 3 6 
0 6 1 3 1 5 
0 4 1 8 10 10 
1 1 1 2 1 1 
0 4 9 4 8 3 
1 1 1 2 1 1 
1 3 1 3 1 4 
0 2 8 3 8 7 
0 1 3 2 1 9 
0 4 4 3 4 5 
0 2 5 4 10 10 
0 8 8 7 3 5 
0 6 8 7 1 10 
0 3 5 3 6 10 
0 1 6 3 9 8 
0 1 1 5 4 8 
0 1 10 5 1 5 
0 2 2 5 1 9 
0 5 3 4 10 5 
1 1 2 2 1 1 
0 1 8 3 3 9 
0 1 2 3 9 6 
1 1 1 2 1 1 
0 1 2 4 3 10 
1 1 1 3 1 4 
0 1 10 4 9 5 
0 3 9 8 9 8 
1 1 1 3 2 1 
1 1 1 2 1 5 
0 8 2 7 8 6 
1 2 1 7 2 1 
0 10 10 4 8 9 
0 1 4 3 2 10 
1 1 2 4 2 1 
1 1 1 2 1 1 
1 2 1 2 1 5 
1 1 3 3 1 3 
1 1 1 2 1 2 
1 1 1 7 1 2 
1 2 1 2 1 4 
1 1 1 3 1 5 
1 1 2 7 1 3 
0 8 9 7 10 3 
0 1 4 4 10 5 
0 4 8 4 4 3 
0 6 10 6 8 3 
1 1 1 3 1 4 
1 2 1 2 1 2 
1 1 1 3 1 1 
1 2 1 1 1 3 
1 1 1 3 1 4 
1 1 1 2 1 1 
1 1 1 3 1 2 
1 1 1 3 1 1 
1 2 1 1 1 2 
1 1 1 3 1 5 
0 2 6 2 9 9 
0 10 10 7 9 7 
0 1 5 3 10 10 
0 4 5 2 5 2 
1 1 1 3 1 4 
0 1 3 7 1 8 
0 10 1 8 8 10 
0 4 3 3 2 7 
0 8 10 4 1 10 
0 10 10 5 7 1 
1 1 1 2 3 1 
0 4 9 7 8 6 
1 2 2 5 3 1 
0 3 9 3 1 8 
0 10 10 7 3 10 
0 3 8 8 1 10 
1 1 3 3 1 3 
1 1 5 1 1 1 
1 1 2 3 2 8 
0 10 10 7 5 4 
1 1 3 1 1 1 
1 1 2 3 1 3 
1 2 1 3 1 1 
1 1 2 3 1 4 
0 2 10 5 3 10 
0 1 10 5 3 5 
0 7 7 8 10 5 
1 1 1 2 1 1 
0 7 10 7 5 7 
1 1 1 3 1 3 
0 4 10 1 6 8 
1 1 1 1 1 1 
1 1 1 2 1 5 
1 1 1 3 1 2 
0 10 10 3 6 5 
1 1 1 2 2 3 
1 1 1 2 1 3 
1 1 2 3 3 5 
1 1 1 2 1 4 
1 1 1 1 1 3 
1 1 1 2 1 4 
1 1 1 1 1 3 
1 1 1 1 1 2 
0 4 5 4 3 9 
1 1 5 1 1 1 
1 1 1 2 1 2 
0 2 8 4 1 3 
1 1 2 2 1 1 
1 3 1 5 8 3 
0 4 10 7 8 8 
1 1 1 3 1 1 
0 1 10 5 4 7 
0 6 5 8 10 10 
1 1 3 1 1 4 
1 1 1 1 1 1 
0 6 10 3 1 5 
1 1 1 2 1 1 
1 1 1 3 1 2 
0 3 10 7 10 9 
0 4 10 5 7 10 
1 1 1 3 2 4 
1 1 1 3 1 3 
1 2 3 1 1 1 
1 1 2 3 2 4 
0 8 10 3 10 5 
0 10 1 3 1 10 
1 1 1 3 1 3 
1 2 1 1 1 1 
1 1 1 1 1 3 
1 1 1 3 1 1 
1 1 1 2 1 1 
0 10 10 10 10 6 
0 4 10 6 1 8 
0 7 10 5 7 5 
1 1 1 3 1 2 
0 3 1 5 10 5 
1 1 1 3 1 4 
0 3 10 3 1 5 
1 1 1 3 1 1 
1 1 1 1 1 1 
1 1 1 3 1 6 
0 8 10 7 8 5 
0 4 10 5 1 8 
1 1 1 3 1 2 
0 6 8 7 10 1 
0 10 10 7 7 10 
0 10 8 9 10 5 
1 1 1 3 1 1 
0 8 8 7 10 10 
0 10 10 4 10 7 
1 1 1 2 1 5 
1 1 1 3 1 1 
1 1 1 3 1 3 
1 1 1 3 1 4 
1 4 1 3 1 5 
1 1 1 1 1 1 
1 1 1 2 1 3 
0 5 10 7 8 9 
0 4 10 8 1 10 
1 1 1 3 1 1 
1 1 1 3 1 5 
1 1 1 3 1 1 
0 9 10 7 10 5 
0 3 5 3 5 10 
1 1 1 3 1 1 
1 1 1 3 1 1 
1 1 1 3 1 5 
0 10 10 8 10 8 
0 8 8 7 7 8 
1 1 1 3 1 1 
0 10 10 7 10 10 
0 10 10 10 6 10 
0 7 5 5 10 8 
1 1 1 2 1 1 
1 1 1 3 1 1 
0 7 4 8 10 6 
1 1 1 3 1 6 
1 2 1 3 1 1 
0 3 10 9 10 10 
0 3 5 2 1 4 
0 3 8 7 4 7 
0 6 10 7 9 10 
1 1 1 2 1 1 
0 4 10 8 9 10 
0 5 5 7 7 8 
1 1 1 3 1 1 
0 3 10 9 10 10 
0 4 7 7 6 7 
0 5 8 8 9 6 
1 3 1 4 3 8 
0 5 10 4 1 10 
1 1 1 3 6 3 
0 2 10 4 8 10 
0 5 2 4 10 9 
0 8 9 3 10 8 
0 2 10 5 3 10 
1 3 2 2 3 5 
1 3 1 3 1 3 
1 1 1 3 1 2 
1 1 5 5 1 1 
1 1 1 3 1 1 
1 2 2 3 1 5 
0 8 10 7 8 8 
0 1 9 3 3 8 
1 1 1 3 6 4 
1 1 1 1 1 1 
0 10 10 5 3 10 
1 5 10 3 5 6 
0 2 10 7 3 6 
0 1 8 3 3 9 
0 2 10 3 6 5 
1 1 1 1 1 3 
1 1 1 2 1 3 
1 1 1 3 1 3 
1 1 8 3 4 5 
0 10 10 5 1 10 
0 6 10 10 6 5 
0 4 10 7 8 8 
0 10 10 5 5 10 
0 10 3 5 3 7 
1 1 1 3 2 5 
0 3 10 4 3 10 
0 2 10 7 1 3 
0 2 4 8 7 10 
1 1 1 3 1 1 
0 1 10 3 9 8 
1 1 1 3 1 5 
0 2 10 7 1 3 
0 1 4 3 3 7 
1 1 1 3 2 3 
1 1 1 2 1 3 
1 1 1 2 1 1 
1 1 1 3 1 1 
0 3 7 3 3 10 
1 1 1 3 1 3 
1 2 1 3 1 2 
0 10 10 5 6 1 
0 1 10 5 3 10 
0 10 10 3 8 7 
0 10 10 10 7 8 
0 10 10 4 10 10 
1 1 1 2 1 3 
0 1 5 5 10 6 
0 8 10 4 10 5 
1 1 1 1 1 1 
1 1 1 3 1 1 
0 6 10 2 3 10 
0 8 10 7 4 5 
1 3 5 4 7 5 
1 1 1 1 1 8 
0 6 10 7 7 9 
0 5 4 7 10 8 
1 1 1 3 1 1 
0 7 10 7 10 10 
1 1 1 3 1 1 
0 9 10 3 3 8 
0 4 10 3 10 10 
1 1 1 3 1 1 
1 1 1 3 1 1 
0 6 3 8 8 7 
1 1 5 5 1 3 
1 1 1 2 1 2 
1 1 1 1 1 1 
0 10 1 3 5 8 
1 1 1 1 1 1 
1 1 1 2 1 1 
0 2 10 4 3 5 
0 8 8 8 9 6 
1 1 1 3 1 1 
1 4 5 7 3 4 
0 2 10 7 4 7 
1 1 1 3 1 3 
0 10 10 4 1 5 
1 1 1 3 1 1 
1 1 1 2 3 3 
0 1 10 5 4 10 
1 1 1 2 1 1 
0 2 4 3 10 8 
0 4 10 7 1 10 
0 2 8 6 1 10 
1 1 1 3 1 5 
1 2 1 2 2 5 
0 6 10 4 3 5 
0 3 10 3 4 8 
1 1 1 1 1 1 
0 8 10 3 4 6 
1 1 1 3 1 1 
1 1 1 2 1 1 
0 5 10 4 3 8 
0 1 10 7 6 10 
1 1 1 3 1 1 
1 1 1 1 1 2 
1 1 1 1 1 1 
0 8 10 9 5 7 
1 1 1 1 1 1 
1 2 1 1 3 5 
1 1 1 1 3 1 
0 10 1 3 3 3 
0 5 8 7 6 4 
1 3 1 1 1 5 
1 1 1 3 1 2 
1 3 3 4 6 3 
0 10 10 4 9 2 
1 1 1 2 1 1 
1 1 1 2 2 4 
0 1 3 3 3 5 
0 7 10 7 3 8 
0 3 4 4 10 8 
0 4 7 3 5 10 
0 10 10 8 10 6 
0 10 10 5 1 3 
1 1 3 2 1 3 
1 2 3 2 1 4 
1 1 1 3 1 2 
1 1 1 2 1 2 
0 10 10 7 10 6 
0 10 10 8 10 5 
1 1 1 1 1 1 
1 1 1 2 1 1 
1 1 1 2 1 4 
1 1 1 1 1 1 
1 1 1 2 1 4 
1 2 1 2 1 5 
1 1 1 2 1 3 
1 1 1 1 1 1 
1 1 1 2 1 1 
1 1 1 2 1 1 
1 4 1 2 2 3 
1 1 1 3 1 5 
1 1 1 1 1 1 
0 6 10 7 8 10 
1 2 1 3 2 3 
1 1 1 1 1 2 
1 1 1 1 1 2 
1 2 1 1 2 3 
0 3 10 7 1 7 
1 2 1 3 1 5 
1 1 1 2 2 2 
1 1 2 2 2 5 
1 2 1 2 1 1 
0 4 10 7 9 10 
1 1 1 2 1 3 
1 1 1 1 1 1 
1 1 1 2 1 1 
1 1 1 2 1 3 
1 1 1 3 1 3 
1 1 1 1 1 4 
1 1 1 2 2 3 
1 1 1 1 1 1 
0 7 9 9 3 3 
1 1 1 1 1 3 
1 1 1 2 1 5 
1 1 4 1 1 3 
1 3 1 1 2 1 
1 1 1 2 1 1 
1 1 1 2 1 4 
1 1 1 2 1 1 
1 2 2 3 1 2 
1 1 1 2 1 3 
1 1 1 2 1 1 
0 6 4 8 5 10 
1 1 1 3 1 5 
0 2 10 6 6 8 
1 6 3 3 5 3 
0 5 10 7 2 8 
1 1 1 2 1 1 
1 2 2 3 2 5 
1 1 1 1 1 2 
1 3 3 3 1 3 
0 7 10 8 2 10 
1 1 1 3 3 4 
1 1 1 2 1 5 
1 1 1 1 1 3 
0 10 10 10 10 9 
1 1 1 1 1 5 
0 2 2 5 10 8 
1 1 1 2 1 1 
1 1 1 2 1 2 
1 1 1 2 2 1 
1 3 1 3 2 5 
1 1 1 2 2 5 
1 3 1 1 1 3 
1 5 8 4 2 6 
0 1 10 5 1 10 
0 1 1 2 8 10 
1 1 1 1 1 4 
1 3 1 1 1 4 
1 1 1 1 1 5 
0 10 10 10 1 10 
1 4 4 1 1 5 
1 3 3 1 1 1 
1 1 2 1 1 1 
1 6 1 2 1 5 
1 1 1 1 1 2 
1 1 1 1 1 1 
1 1 1 1 1 5 
1 1 1 1 1 1 
0 8 10 8 10 5 
1 3 1 2 1 4 
1 1 1 1 1 5 
1 3 1 1 1 3 
0 8 10 10 7 4 
1 1 1 1 1 2 
0 1 6 1 1 10 
0 8 10 8 6 10 
0 6 3 10 10 8 
1 1 1 1 1 5 
1 1 1 1 1 5 
1 3 1 1 1 5 
1 1 5 1 1 3 
1 3 1 1 1 6 
1 1 1 1 2 4 
1 1 1 1 1 4 
0 7 4 7 10 10 
0 2 10 9 7 10 
0 5 10 7 6 6 
1 1 1 1 1 4 
1 1 1 2 1 1 
1 1 1 2 1 3 
1 3 1 1 1 6 
1 1 1 1 1 6 
1 1 1 1 1 4 
1 1 1 1 1 5 
1 1 1 1 1 3 
1 1 1 1 1 4 
1 1 1 1 1 4 
1 1 1 1 1 5 
0 10 10 7 5 4 
1 1 1 1 1 5 
1 4 1 1 1 5 
0 10 5 10 10 9 
0 5 10 9 10 8 
1 1 1 1 1 5 
1 3 3 1 1 1 
1 1 1 2 1 3 
0 10 10 8 1 10 
0 10 3 3 4 3 
0 1 4 4 1 6 
1 1 1 1 1 1 
0 4 10 7 1 5 
1 1 1 2 1 4 
0 10 10 6 5 5 
1 10 5 2 1 5 
1 1 1 2 1 3 
1 1 1 1 1 1 
1 1 1 1 1 4 
1 1 1 2 1 4 
1 1 1 2 1 4 
1 1 1 3 1 6 
1 1 1 2 1 4 
1 2 1 2 1 4 
1 1 1 3 1 4 
1 1 1 1 1 1 
1 1 1 1 1 3 
0 10 5 4 8 8 
1 1 4 1 1 1 
1 1 1 1 1 5 
1 1 1 1 1 2 
1 1 1 1 1 1 
1 1 1 2 1 5 
1 1 1 1 1 5 
1 1 1 2 1 3 
0 10 10 8 10 6 
0 7 10 9 10 4 
1 1 1 1 1 1 
1 1 1 2 1 1 
1 2 1 1 1 3 
0 3 10 9 1 4 
1 1 1 1 1 1 
1 1 1 1 1 4 
0 4 5 7 3 10 
0 10 10 5 3 7 
1 1 1 2 1 3 
1 2 1 1 1 3 
1 1 1 1 1 4 
1 1 1 3 1 4 
1 2 1 1 1 6 
1 1 1 2 1 4 
0 3 10 6 9 7 
1 1 1 2 1 4 
1 1 1 3 1 1 
1 1 1 2 1 3 
1 1 1 2 1 2 
1 2 1 3 1 1 
1 1 1 3 1 5 
1 1 1 3 1 5 
1 1 1 2 1 4 
1 1 1 2 1 6 
1 1 2 2 1 5 
1 1 1 1 1 3 
1 1 1 1 1 5 
1 1 1 2 1 4 
1 2 1 2 1 2 
1 1 1 2 1 5 
0 10 10 7 10 6 
1 1 1 1 1 2 
1 1 1 1 1 3 
0 7 5 7 8 7 
1 1 1 2 1 3 
1 1 1 3 1 1 
1 2 1 4 2 3 
1 1 5 2 1 4 
1 1 1 1 1 3 
1 1 1 4 8 4 
1 2 1 2 1 5 
1 3 1 1 1 5 
1 1 1 2 1 2 
1 1 1 2 1 5 
1 1 1 3 1 5 
1 1 1 3 1 5 
1 1 1 3 1 1 
1 1 1 2 1 3 
1 1 1 3 2 4 
0 10 10 10 10 5 
1 1 1 3 1 3 
1 1 3 2 1 4 
0 1 10 2 5 8 
0 10 5 10 3 10 
0 4 10 8 2 8 
0 5 10 9 10 7 
1 1 1 2 1 3 
1 1 1 2 1 1 
0 3 2 7 7 10 
1 1 1 3 1 5 
1 1 1 2 1 5 
1 1 1 2 1 1 
1 1 1 2 1 1 
1 1 1 3 1 1 
1 1 1 2 1 5 
0 6 10 7 5 5 
0 5 10 6 10 6 
1 1 1 1 1 3 
1 6 1 1 1 5 
1 1 1 1 1 1 
0 10 10 10 10 8 
1 1 1 2 2 5 
0 9 3 4 1 9 
1 1 1 1 1 5 
0 5 1 10 1 4 
0 6 10 7 6 2 
0 5 10 4 1 10 
1 1 1 1 1 5 
0 3 10 7 1 4 
1 1 1 2 1 5 
1 1 1 2 1 4 
1 1 1 3 1 5 
1 1 1 2 1 3 
1 1 1 1 1 5 
1 1 1 2 1 3 
1 1 1 2 1 1 
1 1 1 2 1 4 
0 8 1 8 10 5 
0 8 10 8 1 5 
0 3 8 7 8 10 
1 2 1 1 1 4 
1 1 1 1 1 1 
0 10 10 10 1 5 
1 1 1 1 1 5 
0 10 10 7 1 10 
0 10 10 10 10 8 
1 1 1 2 1 2 
1 1 1 2 1 2 
1 1 1 2 1 4 
1 1 1 2 1 3 
1 1 1 2 1 4 
1 1 1 2 1 5 
1 1 1 2 1 3 
1 3 2 6 1 6 
1 3 1 2 1 7 
1 1 1 1 1 1 
1 2 1 2 1 5 
1 1 4 1 1 3 
0 5 6 7 7 4 
1 1 5 1 1 2 
1 1 1 1 1 2 
1 1 1 1 1 4 
1 1 1 1 1 6 
1 1 1 2 1 5 
1 1 1 1 1 1 
0 4 3 5 10 8 
1 1 1 1 1 3 
1 1 1 1 1 3 
0 8 1 10 10 10 
1 3 2 2 1 4 
1 1 1 1 1 4 
1 3 1 1 1 5 
1 3 1 1 1 4 
1 1 1 2 1 3 
1 1 1 2 1 3 
1 1 1 1 1 1 
1 1 1 1 1 2 
1 1 1 2 1 3 
1 1 1 1 1 1 
1 3 1 1 1 1 
0 10 2 10 10 5 
1 1 1 2 1 3 
1 2 4 1 1 3 
1 3 1 2 1 1 
1 1 1 2 2 5 
1 1 1 2 1 4 
1 1 1 3 1 3 
1 1 1 2 1 3 
1 1 1 2 1 5 
1 1 1 3 6 5 
0 7 10 7 2 7 
1 1 1 1 1 1 
1 1 1 2 1 1 
1 1 1 3 1 4 
1 1 1 2 1 1 
1 1 1 2 1 1 
1 3 1 2 1 3 
1 1 1 1 1 1 
1 2 1 1 1 5 
1 1 1 3 1 3 
0 1 1 7 10 5 
0 8 5 7 10 5 
0 8 8 7 4 3 
1 2 1 3 1 3 
1 1 1 3 1 2 
1 1 1 1 1 5 
1 1 1 2 1 1 
1 1 1 1 1 4 
1 1 1 2 1 1 
1 1 1 1 1 5 
1 1 1 1 1 1 
1 1 1 1 1 2 
0 10 10 10 10 10 
0 10 10 5 6 5 
1 1 1 3 2 5 
1 1 1 1 1 1 
1 1 1 1 1 1 
1 1 1 1 1 1 
1 1 1 1 1 1 
1 1 1 2 3 3 
1 1 1 1 1 4 
1 1 1 1 1 1 
1 3 1 1 1 1 
0 5 5 4 4 5 
1 1 1 1 1 3 
1 1 1 2 1 3 
1 1 2 1 1 3 
1 1 1 1 1 2 
0 3 3 8 10 5 
0 4 4 10 6 4 
0 5 5 10 4 4 

list(beta.0.star=0, beta.1=0, beta.2=0, beta.3=0, beta.4=0, 
     beta.5=0)
list(beta.0.star=1.3, beta.1=-.4, beta.2=-.5, beta.3=-.6, 
     beta.4=-.4, beta.5=-.8)