[LONGITUDINAL]
input = {ka, V, k, Emax, EC50, a1, a2}
EQUATION:
Cc = pkmodel(ka, V, k)
E  = Emax*Cc/(EC50+Cc)

DEFINITION:
y1 = {distribution=lognormal, prediction=Cc, sd=a1}
y2 = {distribution=normal, prediction=E,  sd=a2}

[INDIVIDUAL]
input={
ka_pop, omega_ka, V_pop, omega_V, k_pop, omega_k,
Emax_pop, omega_Emax, EC50_pop, omega_EC50
}
DEFINITION:
ka   = {distribution=lognormal, prediction=ka_pop,   sd=omega_ka}
V    = {distribution=lognormal, prediction=V_pop,    sd=omega_V}
k    = {distribution=lognormal, prediction=k_pop,    sd=omega_k}
Emax = {distribution=lognormal, prediction=Emax_pop, sd=omega_Emax}
EC50 = {distribution=lognormal, prediction=EC50_pop, sd=omega_EC50}
