		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)
		}
