
;[COVARIATE]
;input={CONC}

;EQUATION:
;cm1conc = CONC

[LONGITUDINAL]
	input = {cm1conc, k1, k2, lambda0, CV, N0}


EQUATION:
	Nt = (((Np)+(N1))+(N2))+(N3)
	N1_0 = 0
	N2_0 = 0
	N3_0 = 0
	Np_0 = N0
	ddt_N1 = ((k2)*((cm1conc)*(Np)))-((k1)*(N1))
	ddt_N2 = ((k1)*(N1))-((k1)*(N2))
	ddt_N3 = ((k1)*(N2))-((k1)*(N3))
	ddt_Np = ((lambda0)*(Np))-((k2)*((cm1conc)*(Np)))

DEFINITION:
y = { distribution=normal, prediction=Nt, errorModel=proportional(CV) }


