model
       {
          for( i in 1 : N ) {
             for( j in 1 : T ) {
                Y[i , j] ~ dnorm(mu[i , j],tau)
                mu[i , j] <- alpha[i] + beta[i] * (t[i,j] - 6.5) + 
                           gamma * (y0[i] - mean(y0[]))
             }
             alpha[i] ~ dnorm(alpha0,tau.alpha)
             beta[i] ~ dnorm(beta0,tau.beta)
          }
          tau ~ dgamma(0.001,0.001)
          sigma <- 1 / sqrt(tau)
          alpha0 ~ dnorm(0.0,1.0E-6)   
          tau.alpha ~ dgamma(0.001,0.001)
          beta0 ~ dnorm(0.0,1.0E-6)
          tau.beta ~ dgamma(0.001,0.001)
          gamma ~ dnorm(0.0,1.0E-6)
       }