{UTF-8}
FFFactor=
	1
	~	
	~		|

FMI[People]=
	Fat Mass[People]/Height[People]^2
	~	Kg/(M*M)
	~		|

CDC BMI[People]=
	Male[People]*MaleBMI(GAge[People])+(1-Male[People])*FemaleBMI(GAge[People])
	~	
	~		|

FemaleDesFutFMI[People]=
	if then else(GAge[People]+dl<20,DesFutBMI[People]*0.40371+
	DesFutBMI[People]^2*0.0032376+
	if then else(EthCode[People]=1,1,0)*0.32056+
	1*-2.72373,
	DesFutBMI[People]*0.490372+
	DesFutBMI[People]^2*0.00176694+
	(GAge[People]+dl)*-0.108299+
	(GAge[People]+dl)^2*0.0015991+
	Height[People]*100*0.0283091+
	1*-6.79844)
	~	
	~		|

EndoEIShock=
	1
	~	KCal/Year
	~		|

Eff Age on Growth[People]=
	if then else(GAge[People]>20,0,1)
	~	dmnl
	~		|

MaleDesFutFMI[People]=
	if then else((GAge[People]+dl)<20,DesFutBMI[People]*0.177335+
	DesFutBMI[People]^2*0.00701678+
	if then else(EthCode[People]=1,1,0)*0.468919+
	(GAge[People]+dl)*-0.34449+
	1*2.70458,
	DesFutBMI[People]*0.0277482+
	DesFutBMI[People]^2*0.00756044+
	(GAge[People]+dl)^2*0.000343892+
	1*-0.186475)
	~	
	~		|

EndoEnergyIntake[People]=
	Max(0,TotalDesiredEnergy[People])*EndoEIShock
	~	KCal/Year
	~	This equation consists of the random factor for individual and the result \
		of the regressions. It is modified around the mean with this factor, but \
		also takes extreme conditions into account so that energy intake does not \
		go under 20% of expected value and remains under a maximum value). The \
		following can be added to capture interventions: +EIIntervention[People]
	|

Current Des H[People]=
	(Pot[People]*HFac[People])*(Male[People]*MaleHeight(GAge[People])+(1-Male[People
	])*FemaleHeight(GAge[People]))/100
	~	M
	~		|

HChange[People]=
	if then else(Future Des Height[People]<Height[People],1,Eff Age on Growth[People])*(\
		Future Des Height[People]-Height[People
	])/dl*Eff E Ave on H[People]
	~	M/Year
	~		|

Height[People]= INTEG (
	HChange[People],
		Current Des H[People])
	~	M
	~		|

HFac[People]=
	HFctr[People,c2]+(HFctr[People,c1]-HFctr[People,c2])/(1+exp(GAge[People]-14))
	~	dmnl
	~	This calculates the ethnicity-specific adjustment to desired average \
		height for each individual.
	|

Age[People]=
	Time-InitBD[People]
	~	Year
	~		|

HFctr[People,c1]= INITIAL(
	vector elm map(HtModAdlt[Mexican],EthCode[People]-1)) ~~|
HFctr[People,c2]= INITIAL(
	vector elm map(HtModChild[Mexican],EthCode[People]-1))
	~	dmnl
	~		|

DemandSatisfied[People,Alloc]=
	DEMAND AT PRICE(Energy Demand[People,Alloc], DemandCurve[Alloc,ptype], EnergyPrice[People
	])
	~	KCal/Year
	~		|

ExpectedFF[People]=
	Max ( 0, 
	                  Min ( 1, 
	                       ( if then else ( Male[People] 
	                                 = 1, 
	                            MaleCrrDesFF[People], 
	                            FemaleCrrDesFF[People] ) 
	                            / 100) ) )*FFFactor
	~	dmnl
	~	Coming from NHANES regression results, after adjusting for intial \
		condition settings required.
	|

EthCode[People]=
	1,1,3,3,4,4
	~	dmnl
	~	if then else(MODULO( INTEGER((People-1)/2), 3 )=0,1,if then else(MODULO( \
		INTEGER((People-1)/2), 3 )=1,3,4))
	|

MaleCrrDesFF[People]=
	sqrt ( InitBMI[People] ) 
	                                 * 9.15649
	                                 + if then else(EthCode[People]=1,1,0) 
	                                      * 1.57162
	                                 + ( GAge[People] ) 
	                                      * 0.0813697
	                                 + if then else (GAge[People] 
	                                           < 20, 
	                                      1, 
	                                      0) 
	                                      * 28.3113
	                                 + if then else (GAge[People] 
	                                           < 20, 
	                                      1, 
	                                      0) 
	                                      * ( GAge[People] ) 
	                                      * -1.55691
	                                 + 1
	                                      * -26.5456
	~	
	~		|

CInitAge[People]= INITIAL(
	Age[People])
	~	Year
	~		|

InitBD[People]=
	0
	~	Year
	~		|

InitBMI[People]=
	17.1, 16.7, 17.1, 16.7, 17.1, 16.7
	~	Kg/M/M
	~	Initial BMI for the person.
	|

InitF[People]= INITIAL(
	InitBMI[People]*Current Des H[People]^2*ExpectedFF[People])
	~	Kg
	~		|

FatChng[People]=
	((DemandSatisfied[People,ResF]+DemandSatisfied[People,Fat])/(EtaF+RhoF)-(EnergySupplied\
		[People,ResF]+EnergySupplied[People
	,Fat])/(RhoF-EtaF))
	~	Kg/Year
	~		|

InitL[People]= INITIAL(
	InitBMI[People]*Current Des H[People]^2*(1-ExpectedFF[People]))
	~	Kg
	~		|

Lean Mass[People]= INTEG (LeanChng[People],
		InitL[People])
	~	Kg
	~		|

FemaleCrrDesFF[People]=
	-11.77
	                                 + sqrt ( InitBMI[People] ) 
	                                      * 13.9054
	                                 + Height[People] 
	                                      * 100
	                                      * -0.0335054
	                                 + InitBMI[People] 
	                                      * Height[People] 
	                                           ^ 2
	                                      * 0.126261
	                                 + if then else(EthCode[People]=1,1,0) 
	                                      * 1.23887
	                                 + ( GAge[People] ) 
	                                      * 0.0158701
	                                 + if then else ( GAge[People] 
	                                           < 20, 
	                                      1, 
	                                      0) 
	                                      * 2.46072
	                                 + if then else ( GAge[People] 
	                                           < 20, 
	                                      1, 
	                                      0) 
	                                      * ( GAge[People] ) 
	                                      * -0.117857
	                                 + InitBMI[People] 
	                                      * -0.956517
	~	
	~		|

Fat Mass[People]= INTEG (FatChng[People],
		InitF[People])
	~	Kg
	~		|

IndivHFac[People]=
	0
	~	dmnl [-0.2,0.2,0.02]
	~	Parameter representing if the individual is taller or shorter than the \
		average in his/her ethinicity.
	|

LeanChng[People]=
	((DemandSatisfied[People,Lean]+DemandSatisfied[People,ResL])/(EtaL+RhoL)-(EnergySupplied\
		[People,Lean]+EnergySupplied[People
	,ResL])/(RhoL-EtaL))
	~	Kg/Year
	~	Depending on whether lean tissue is created or consumed, different demand \
		and supply curves play in.
	|

EnergyPrice[People]=
	FIND MARKET PRICE( Energy Demand[People,Main], DemandCurve[Main,ptype], Energy Supply\
		[People
	,Main]
	, SupplyCurve[Main,ptype])
	~	dmnl
	~		|

Male[People]=
	1,0,1,0,1,0
	~	dmnl
	~	MODULO(People+1,2)     for full population
	|

GAge[People]=
	(Age[People]-CInitAge[People])*GFactor[People]+CInitAge[People]
	~	Year
	~	The growth age of individual represents how fast/slow s/he is growing \
		compared to their expected age-specific growth.
	|

Pot[People]=
	(1+HVFac[People]*IndivHFac[People])
	~	dmnl
	~		|

Future Des Height[People]=
	Pot[People]*(Male[People]*MaleHeight(GAge[People]+dl)+(1-Male[People])*FemaleHeight(\
		GAge[People]+dl))/100*(HFctr[People,c2
	]+(HFctr[People,c1]-HFctr[People,c2])/(1+exp(GAge[People]+dl-14)))
	~	M
	~		|

EnergySupplied[People,Alloc]=
	SUPPLY AT PRICE(Energy Supply[People,Alloc], SupplyCurve[Alloc,ptype], EnergyPrice[People
	])
	~	KCal/Year
	~		|

CPConstant=
	10.4
	~	Kg
	~		|

CPartition[People]=
	(CPConstant*RhoL/RhoF)/(CPConstant*RhoL/RhoF+Fat Mass[People])
	~	dmnl
	~	Partition of Excess Energy Dedicated to Fat Mass. The rest goes to Lean \
		storage beyond current levels.
	|

"DesFEnNeed/Loss"[People]=
	if then else(DesFChng[People]>0,DesFChng[People]*(EtaF+RhoF)/dl,DesFChng[People]*(RhoF\
		-EtaF)/MinConvertTime tmin)
	~	KCal/Year
	~		|

MaxFConvert[People]=
	Fat Mass[People]/MinConvertTime tmin*(RhoF-EtaF)
	~	KCal/Year
	~	This is the maximum energy supply that can come from burning the fat \
		inside the body.
	|

SupplyCurve[Alloc,ptype]=
	supply priority type ~~|
SupplyCurve[Alloc,pprior]=
	supply priority[Alloc] ~~|
SupplyCurve[Alloc,pwid]=
	supply priority width[Alloc] ~~|
SupplyCurve[Alloc,pextra]=
	extra 0
	~	dmnl
	~		|

"DesLEnrNeed/Loss"[People]=
	if then else(DesLChng[People]>0,DesLChng[People]/dl*(RhoL+EtaL),DesLChng[People]/MinConvertTime tmin\
		*(RhoL-EtaL))
	~	KCal/Year
	~	The critical feature of this equation is that if lean mass should be \
		created, the energy need includes both the energy content stored and the \
		energy for creation of the mass. Where as if lean is to be lost, the \
		energy created will include what was stored minus what is needed to burn \
		the material.
	|

ExoEnrSwTime=
	2081
	~	Year
	~		|

Energy Supply[People,Main]=
	EnergyIntake[People] ~~|
Energy Supply[People,Lean]=
	Max(0,MaxLConvert[People]-Energy Supply[People,ResL]) ~~|
Energy Supply[People,ResF]=
	Max(0,-"DesFEnNeed/Loss"[People]) ~~|
Energy Supply[People,ResL]=
	Max(0,-"DesLEnrNeed/Loss"[People]) ~~|
Energy Supply[People,Fat]=
	MaxFConvert[People]-Energy Supply[People,ResF]
	~	KCal/Year
	~		|

ExoEnergyIntake[People]=SAMPLE IF TRUE(
	Time<ExoEnrSwTime :AND: ExoEnrSwTime<=Time+TIME STEP,EndoEnergyIntake[People], 0)
	~	KCal/Year
	~		|

SWMaintEnr=
	0
	~	dmnl [0,1]
	~	Put 1 to use only maintenance energy in determining adult total energy \
		needs. Put 0 to also include shortage of energy to satisfy growth catchup \
		when underweight (but not extra energy if overweight).
	|

EnergyIntake[People]=
	if then else(Time>ExoEnrSwTime,ExoEnergyIntake[People]+(ExternalEIShock),EndoEnergyIntake\
		[People])
	~	KCal/Year
	~		|

Diet Induced EE DIEE[People]=
	beta*EnergyIntake[People]
	~	KCal/Year
	~		|

TotalDesiredEnergy[People]=
	(DesNonGrowth EnergyExpenditure[People]+(1-SWMaintEnr+SWMaintEnr*Eff Age on Growth[People\
		])*(Max(0,"DesLEnrNeed/Loss"[People]+"DesFEnNeed/Loss"[People])))/(1-beta)
	~	KCal/Year
	~	This only includes the energy needed for growth and maintenance, but does \
		not subtract the extra energy offered (i.e. if there is too much stored \
		energy already in place)
	|

supplier : (s1-s3)
	~	
	~		|

supply priority[Alloc]=
	-4, 9, 8.9, 4, 4
	~	dmnl
	~		|

supply priority type=
	1
	~	dmnl [0,5,1]
	~	ptype 0 - Fixed Quantity
		ptype 1 - Rectangular
		ptype 2 - Triangular
		ptype 3 - Normal
		ptype 4 - Exponential	
		ptype 5 - Constant Elasticity
	|

ExternalEIShock=
	STEP(1, INITIAL TIME+ShockTime )*ShockSize
	~	KCal/Year
	~		|

ShockTime=
	0
	~	Year
	~		|

Demand priority[Alloc]=
	11,6,6,2, 2
	~	dmnl
	~		|

Demand priority type=
	1
	~	dmnl [0,5,1]
	~	ptype 0 - Fixed Quantity
		ptype 1 - Rectangular
		ptype 2 - Triangular
		ptype 3 - Normal
		ptype 4 - Exponential	
		ptype 5 - Constant Elasticity
	|

supply priority width[Alloc]=
	1,1.2,1,1,1
	~	dmnl [0.01,5]
	~		|

DemandCurve[Alloc,ptype]=
	Demand priority type ~~|
DemandCurve[Alloc,pprior]=
	Demand priority[Alloc] ~~|
DemandCurve[Alloc,pwid]=
	Demand priority width ~~|
DemandCurve[Alloc,pextra]=
	Dextra 0
	~	dmnl
	~		|

Dextra 0=
	1
	~	dmnl [0.2,5]
	~	Extra parameter - used for elasticity when allocation is CES (ptype=5)
	|

ShockSize=
	0
	~	KCal/Year [0,100000]
	~		|

extra 0=
	1
	~	dmnl [0.2,5]
	~	Extra parameter - used for elasticity when allocation is CES (ptype=5)
	|

Demand priority width=
	1
	~	dmnl [0.01,5]
	~		|

GFactor[People]=
	1
	~	dmnl
	~	The factor scaling how fast an individual is growing compared to their age \
		(creating a growth age; rather than a nominal age).
	|

AgDisc=
	0.95
	~	Year
	~		|

HFacScl=
	0.1
	~	dmnl
	~		|

HVFac[People]=
	FinFac+exp(-GAge[People]/AgDisc)*HFacScl
	~	dmnl
	~	The factor determining individual variance in weight around population \
		mean.
	|

FinFac=
	0.04
	~	dmnl
	~		|

HtModChild[Ethnicity]=
	1.00703,1.00699,1.01181,1.02379,1.009
	~	dmnl
	~	Parameters calculated by fitting NHANES data on height to the curves in \
		tables above, see HeightVariation.xlsx, Sheet5, for details.
	|

HtModAdlt[Ethnicity]=
	0.975137,0.979087,1.01326,1.00794,0.987146
	~	dmnl
	~	Parameters calculated by fitting NHANES data on height to the curves in \
		tables above, see HeightVariation.xlsx, Sheet5, for details.
	|

mmvar:
	mo2, mo4, mo6, mo8
	~	
	~		|

mmskw:
	mo9, mo10
	~	
	~		|

mmave:
	mo1, mo3, mo5, mo7
	~	
	~		|

Energy Demand[People,Main]=
	DesNonGrowth EnergyExpenditure[People]+Diet Induced EE DIEE[People] ~~|
Energy Demand[People,Lean]=
	Max(0,"DesLEnrNeed/Loss"[People]) ~~|
Energy Demand[People,ResF]=
	Max(0,Energy Supply[People,Main]+Energy Supply[People,Lean]+Energy Supply[People,Fat\
		]-Energy Demand[People,Main]-Energy Demand
	[People,Lean]-Energy Demand[People,Fat])*(1-CPartition[People]) ~~|
Energy Demand[People,ResL]=
	CPartition[People]*Energy Demand[People,ResF]*XIDZ(1,(1-CPartition[People]),1) ~~|
Energy Demand[People,Fat]=
	Max(0,"DesFEnNeed/Loss"[People])
	~	KCal/Year
	~		|

DesFutBMI[People]=
	(Male[People]*MaleBMI(GAge[People]+dl)+(1-Male[People])*FemaleBMI(GAge[People]+dl))*\
		BMIChgSpeed sb+(1-BMIChgSpeed sb)*BMI[People]
	~	Kg/M/M
	~		|

DesLChng[People]=
	((DesFutBMI[People]-DesFutFatFMI[People])*Future Des Height[People]^2)-Lean Mass[People\
		]
	~	Kg
	~	This equation assumes the main required change in lean is based on desired \
		changes coming from the average BMI curves.
	|

BMIChgSpeed sb=
	0.3
	~	dmnl [0,1]
	~	Everything else being equal, over what time horizon do we want to get to \
		the equilibrium BMI?
	|

Sample:
	(sa1-sa160)
	~	
	~		|

DType:
	BMID, HD, AD
	~	
	~		|

Mmn:
	(mo1-mo10)
	~	
	~		|

PGroup:
	(g1-g270)
	~	
	~		|

SPR:
	(p2-p6)
	~	
	~		|

AgeGroup:
	(A1-A11)
	~	
	~		|

Dim2:
	(c1-c11)
	~	
	~		|

People:
	p1,SPR
	~	
	~	White, Female, Teenagers: (p3520-p3768)/// Black, male, 30-50: \
		(p8929-p9146)//// all: (p1-p9847); all for 2006: (p1-p5925)
	|

Dim1:
	d1,d2->Sex
	~	
	~		|

Dim3:
	(e1-e5)->Ethnicity
	~	
	~		|

Sex:
	M, F->Dim1
	~	
	~		|

T:
	(T1-T4)
	~	
	~		|

Ethnicity:
	Mexican, Other Hispanic, White, Black, Other->Dim3
	~	
	~		|

beta=
	0.1
	~	dmnl
	~	Accounts for the thermic effect of feeding.
	|

BMI[People]=
	W[People]/Height[People]/Height[People]
	~	Kg/M/M
	~		|

BWfactor[People]=
	W[People]*PA[People]
	~	KCal/Year
	~		|

Cohort:
	c1,c2
	~	
	~		|

DecS=
	5
	~	Year
	~	This speed of decline assures the system gets to adult value by the \
		adulthood.
	|

PA[People]=
	2555
	~	KCal/(Kg*Year)
	~	Represents physical activity and the value 7 Kcal/(kg.day) corresponds to \
		an average sedentary People.7*365
	|

DesFChng[People]=
	(DesFutFatFMI[People]*Future Des Height[People]^2)-Fat Mass[People]
	~	Kg
	~		|

DesFutFatFMI[People]=
	Max(0,if then else ( Male[People] 
	                            = 1, 
	                       MaleDesFutFMI[People], 
	                       FemaleDesFutFMI[People]))
	~	Kg/M/M
	~	Current equation based on regressions in NHANES. See \
		FatFractionRegressions-08-12-2011.do for details of getting these \
		equations.
	|

DesNonGrowth EnergyExpenditure[People]=
	Leanfactor[People]+FMfactor[People]+KConstant k[People]+BWfactor[People]
	~	KCal/Year
	~		|

dl=
	1
	~	Year
	~		|

EAvail[People,Alloc]=
	XIDZ(DemandSatisfied[People,Alloc],Energy Demand[People,Alloc],1)
	~	dmnl
	~		|

Eff E Ave on H[People]=
	EAvail[People,Lean]^SensHGrEnAvlb alpha
	~	dmnl
	~		|

EtaF=
	180
	~	KCal/Kg
	~	Account for biochemical efficiencies associated with fat turnover assuming \
		that the change of lean-body mass is primarily accounted for by body \
		protein and its associated intracellular water.
	|

EtaL=
	230
	~	KCal/Kg
	~	Account for biochemical efficiencies associated with fat and protein \
		turnover assuming that the change of lean-body mass is primarily accounted \
		for by body protein and its associated intracellular water.
	|

FatFrac[People]=
	Fat Mass[People]/W[People]
	~	dmnl
	~		|

FemaleBMI(
	[(0,12)-(20,25)],(0,16.6),(0.5,16.8),(1,16.8),(1.5,16.6),(2,16.4234),(2.29167,16.1873\
		),(2.79167,15.8434),(3.29167,15.5732),(3.79167,15.3734),(4.29167,15.2397),(4.79167,\
		15.167),(5.29167,15.15),(5.79167,15.1831),(6.29167,15.2614),(6.79167,15.3803),(7.29167\
		,15.5354),(7.79167,15.7226),(8.29167,15.938),(8.79167,16.178),(9.29167,16.439),(9.79167\
		,16.7175),(10.2917,17.0103),(10.7917,17.314),(11.2917,17.6257),(11.7917,17.9423),(12.2917\
		,18.2609),(12.7917,18.5787),(13.2917,18.893),(13.7917,19.2014),(14.2917,19.5014),(14.7917\
		,19.7906),(15.2917,20.067),(15.7917,20.3286),(16.2917,20.5735),(16.7917,20.7999),(17.2917\
		,21.0064),(17.7917,21.1913),(18.2917,21.3534),(18.7917,21.4913),(19.2917,21.6038),(\
		19.7917,21.6895),(20.0417,21.7219))
	~	Kg/(M*M)
	~	Numbers for under 2 coming from NHANES lpoly-0.4 (to match at 2 year old)
	|

FemaleHeight(
	[(0,0)-(20,250)],(0,57),(1,73),(2,84.9756),(2.29167,87.996),(2.79167,92.3985),(3.29167\
		,95.9469),(3.79167,99.3394),(4.29167,102.741),(4.79167,106.203),(5.29167,109.72),(5.79167\
		,113.252),(6.29167,116.741),(6.79167,120.125),(7.29167,123.353),(7.79167,126.387),(\
		8.29167,129.215),(8.79167,131.859),(9.29167,134.383),(9.79167,136.903),(10.2917,139.583\
		),(10.7917,142.597),(11.2917,146.019),(11.7917,149.684),(12.2917,153.193),(12.7917,\
		156.143),(13.2917,158.36),(13.7917,159.906),(14.2917,160.945),(14.7917,161.64),(15.2917\
		,162.112),(15.7917,162.441),(16.2917,162.678),(16.7917,162.853),(17.2917,162.986),(\
		17.7917,163.088),(18.2917,163.169),(18.7917,163.232),(19.2917,163.283),(19.7917,163.324\
		))
	~	M
	~		|

FMfactor[People]=
	Fat Mass[People]*GammaF
	~	KCal/Year
	~		|

MaleHeight(
	[(0,0)-(20,250)],(0,58),(1,75),(2,86.4522),(2.29167,89.1755),(2.79167,93.3585),(3.29167\
		,97.1719),(3.79167,100.778),(4.29167,104.209),(4.79167,107.535),(5.29167,110.806),(\
		5.79167,114.048),(6.29167,117.268),(6.79167,120.455),(7.29167,123.589),(7.79167,126.639\
		),(8.29167,129.578),(8.79167,132.384),(9.29167,135.05),(9.79167,137.59),(10.2917,140.043\
		),(10.7917,142.482),(11.2917,145.019),(11.7917,147.791),(12.2917,150.931),(12.7917,\
		154.495),(13.2917,158.375),(13.7917,162.287),(14.2917,165.877),(14.7917,168.887),(15.2917\
		,171.226),(15.7917,172.946),(16.2917,174.166),(16.7917,175.018),(17.2917,175.61),(17.7917\
		,176.025),(18.2917,176.32),(18.7917,176.533),(19.2917,176.691),(19.7917,176.809))
	~	M
	~		|

GammaF=
	1168
	~	KCal/(Kg*Year)
	~	Regression coefficients relating resting metabolic rate versus lean body \
		mass and fat mass.3.2*365
	|

GammaL[People]=
	(InitGL+InitM*Male[People])*exp(-Max(0,GAge[People]-8)/DecS)+SSGL
	~	KCal/(Kg*Year)
	~	Regression coefficients relating resting metabolic rate versus lean body \
		mass and fat mass. 22*365=8030
	|

InitGL=
	7482
	~	KCal/(Kg*Year)
	~	Taken from comparing the Butte etal's values and those of Hall in the \
		initial years (0-8) for the energy cost of lean mass for females. This is \
		equivalent to 42.5(=48.2-(27.7-22))-22=20.5 Kcal/kg/day.
	|

InitM=
	1314
	~	KCal/Kg/Year
	~	Taken from comparing the Butte etal's values and those of Hall in the \
		initial years (0-8) for the energy cost of lean mass for males. This is \
		equivalent to the difference with the female values for the initial energy \
		costs, i.e. 20.5-(38.9(=44.6-(27.7-22))-22)=3/6 Kcal/kg/day.
	|

KConstant k[People]=
	100000
	~	KCal/Year
	~	A constant determined by the initial energy balance condition. The value \
		chosen in based on the numerical example provided by Chow&Hall08, p.7, \
		1.55 MJ/day 370.21 Kcal/day. Note that the behavior of the model is very \
		sensitive to this value, and in general this is largely determined based \
		on individual characteristics, many of which genetic. Therefore one needs \
		to capture variations across individuals within the variations of this \
		parameter.      (Base Energy \
		Intake-GammaL*InitialFFM-GammaF*InitialFM-Delta*(InitialFFM+InitialFM))+KBi\
		as
	|

MinConvertTime tmin=
	0.1
	~	Year
	~		|

Leanfactor[People]=
	Lean Mass[People]*GammaL[People]
	~	KCal/Year
	~		|

MaleBMI(
	[(0,15)-(20,25)],(0,17),(0.5,17.1),(1,17.1),(1.5,16.9),(2,16.575),(2.29167,16.3922),\
		(2.79167,16.1193),(3.29167,15.892),(3.79167,15.7061),(4.29167,15.5603),(4.79167,15.4555\
		),(5.29167,15.3938),(5.79167,15.3762),(6.29167,15.4013),(6.79167,15.4664),(7.29167,\
		15.5681),(7.79167,15.7032),(8.29167,15.8686),(8.79167,16.0613),(9.29167,16.2788),(9.79167\
		,16.5186),(10.2917,16.7784),(10.7917,17.056),(11.2917,17.3494),(11.7917,17.6565),(12.2917\
		,17.9754),(12.7917,18.3043),(13.2917,18.6411),(13.7917,18.9842),(14.2917,19.3318),(\
		14.7917,19.6821),(15.2917,20.0332),(15.7917,20.3835),(16.2917,20.7309),(16.7917,21.0736\
		),(17.2917,21.4094),(17.7917,21.7364),(18.2917,22.0523),(18.7917,22.355),(19.2917,22.6424\
		),(19.7917,22.9129),(20.0417,23.0414))
	~	Kg/(M*M)
	~	0-2 years from Nhanes lpoly-0.4; rest from CDC charts.
	|

SensHGrEnAvlb alpha=
	0.3
	~	dmnl
	~	The sensitivity of growth in height to energy shortages faced for \
		deposition of lean mass during childhood.
	|

MaxLConvert[People]=
	Lean Mass[People]/MinConvertTime tmin*(RhoL-EtaL)
	~	KCal/Year
	~		|

SSGL=
	8030
	~	KCal/Kg/Year
	~		|

RhoF=
	9400
	~	KCal/Kg
	~		|

RhoL=
	1800
	~	KCal/Kg
	~	Energy stored in lean mass.
	|

W[People]=
	Lean Mass[People]+Fat Mass[People]
	~	Kg
	~		|

Alloc:
	Main, Lean, Fat, ResL, ResF
	~	
	~		|

pprof:
	ptype, pprior, pwid, pextra
	~	
	~		|

Sens:
	(e1-e17)
	~	
	~	Dimentionality of Sens is elmcount(param)*2+1
	|

Sim:
	(s1-s50)
	~	
	~		|

********************************************************
	.Control
********************************************************~
		Simulation Control Parameters
	|

FINAL TIME  = 20
	~	Year
	~	The final time for the simulation.
	|

INITIAL TIME  = 0
	~	Year
	~	The initial time for the simulation.
	|

SAVEPER  = 
        TIME STEP 
	~	Year [0,?]
	~	The frequency with which output is stored.
	|

TIME STEP  = 0.015625
	~	Year [0,?]
	~	The time step for the simulation.
	|

\\\---/// Sketch information - do not modify anything except names
V300  Do not put anything below this section - it will be ignored
*View 1
$192-192-192,0,Arial|11||0-0-0|0-0-0|0-0-255|-1--1--1|-1--1--1|96,96,75,0
10,1,Height,267,707,32,16,3,3,0,0,0,0,0,0
10,2,Fat Mass,639,915,32,16,3,3,0,0,0,0,0,0
10,3,Lean Mass,636,826,32,16,3,3,0,0,0,0,0,0
10,4,MaleBMI,892,547,60,19,8,131,0,2,0,0,0,0,0-0-0,0-0-0,|11||0-0-255
10,5,FemaleBMI,863,503,38,10,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|11||0-0-255
10,6,MaleHeight,282,512,38,10,8,131,0,2,0,0,0,0,0-0-0,0-0-0,|11||0-0-255
10,7,FemaleHeight,300,536,46,10,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|11||0-0-255
10,8,Future Des Height,441,583,60,9,8,3,0,0,0,0,0,0
12,9,48,144,707,10,8,0,3,0,0,-1,0,0,0
1,10,12,1,4,0,0,22,0,0,0,-1--1--1,,1|(218,707)|
1,11,12,9,100,0,0,22,0,0,0,-1--1--1,,1|(171,707)|
11,12,48,195,707,6,8,34,3,0,0,1,0,0,0
10,13,HChange,195,723,32,9,40,3,0,0,-1,0,0,0
10,14,dl,295,627,7,10,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|11||0-128-0
10,15,Age,344,288,14,10,8,3,0,0,0,0,0,0
10,16,Male,122,440,18,10,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|11||255-0-0
10,17,Current Des H,333,476,48,10,8,3,0,0,0,0,0,0
1,18,6,17,1,0,0,0,0,64,0,-1--1--1,,1|(300,497)|
1,19,7,17,0,0,0,0,0,64,0,-1--1--1,,1|(312,512)|
1,20,6,8,1,0,0,0,0,64,0,-1--1--1,,1|(354,510)|
1,21,7,8,1,0,0,0,0,64,0,-1--1--1,,1|(367,537)|
1,22,16,17,0,0,0,0,0,64,0,-1--1--1,,1|(205,453)|
1,23,16,8,1,0,0,0,0,64,0,-1--1--1,,1|(191,503)|
1,24,14,8,1,0,0,0,0,64,0,-1--1--1,,1|(361,619)|
1,25,14,12,1,0,0,0,0,64,0,-1--1--1,,1|(223,663)|
10,26,Eff E Ave on H,157,834,48,9,8,3,0,0,0,0,0,0
1,27,26,13,1,0,0,0,0,64,0,-1--1--1,,1|(189,782)|
10,28,Time,190,255,26,9,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,29,28,15,0,0,0,0,0,64,0,-1--1--1,,1|(266,271)|
1,30,1,13,1,0,0,0,0,64,0,-1--1--1,,1|(240,735)|
12,31,0,1998,362,350,280,3,188,0,0,1,0,0,0
Main_Outputs
10,32,Pot,424,529,13,10,8,3,0,0,0,0,0,0
1,33,32,17,1,0,0,0,0,64,0,-1--1--1,,1|(385,499)|
1,34,32,8,1,0,0,0,0,64,0,-1--1--1,,1|(430,551)|
1,35,8,13,1,0,0,0,0,64,0,-1--1--1,,1|(277,744)|
10,36,DesLChng,575,715,36,9,8,3,0,0,0,0,0,0
10,37,Male,670,583,26,10,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
10,38,DesFutBMI,764,578,37,9,8,3,0,0,0,0,0,0
1,39,5,38,0,0,0,0,0,64,0,-1--1--1,,1|(818,536)|
1,40,4,38,0,0,0,0,0,64,0,-1--1--1,,1|(823,563)|
1,41,37,38,0,0,0,0,0,64,0,-1--1--1,,1|(704,581)|
10,42,dl,823,627,16,10,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,43,42,38,1,0,0,0,0,64,0,-1--1--1,,1|(796,603)|
10,44,W,739,903,9,9,8,3,0,0,0,0,0,0
1,45,2,44,0,0,0,0,0,64,0,-1--1--1,,1|(693,908)|
1,46,3,44,0,0,0,0,0,64,0,-1--1--1,,1|(687,864)|
10,47,BMI,838,590,14,9,8,3,0,0,0,0,0,0
10,48,Height,910,608,30,9,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
10,49,W,928,567,17,9,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,50,48,47,0,0,0,0,0,64,0,-1--1--1,,1|(872,598)|
1,51,49,47,0,0,0,0,0,64,0,-1--1--1,,1|(888,576)|
10,52,"DesLEnrNeed/Loss",691,747,65,8,8,3,0,0,0,0,0,0
1,53,36,52,1,0,0,0,0,64,0,-1--1--1,,1|(628,718)|
1,54,42,52,1,0,0,0,0,64,0,-1--1--1,,1|(771,687)|
10,55,DesNonGrowth EnergyExpenditure,911,923,64,16,8,3,0,0,0,0,0,0
10,56,GammaL,799,847,31,9,8,3,0,40,0,0,0,0,0-0-0,0-0-0,Arial|11||0-128-0
10,57,GammaF,748,1055,31,9,8,3,0,42,0,0,0,0,0-0-0,0-0-0,Arial|11||0-128-0
10,58,PA,808,975,11,10,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|11||255-0-0
10,59,beta,1299,951,16,10,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|11||0-128-0
10,60,EtaF,475,1042,17,9,8,3,0,42,0,0,0,0,0-0-0,0-0-0,Arial|11||0-128-0
10,61,EtaL,515,775,17,9,8,3,0,42,0,0,0,0,0-0-0,0-0-0,Arial|11||0-128-0
10,62,RhoL,459,787,19,9,8,3,0,42,0,0,0,0,0-0-0,0-0-0,Arial|11||0-128-0
10,63,RhoF,523,1075,20,9,8,3,0,42,0,0,0,0,0-0-0,0-0-0,Arial|11||0-128-0
10,64,KConstant k,908,990,41,10,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|11||0-128-0
10,65,Leanfactor,803,899,35,9,8,3,0,40,0,0,0,0,0-0-0,0-0-0,Arial|11||0-0-0
10,66,FMfactor,815,1011,30,9,8,3,0,40,0,0,0,0,0-0-0,0-0-0,Arial|11||0-0-0
10,67,Diet Induced EE DIEE,1202,942,42,16,8,3,0,40,0,0,0,0,0-0-0,0-0-0,Arial|11||0-0-0
1,68,59,67,0,0,0,0,0,64,0,-1--1--1,,1|(1270,948)|
1,69,65,55,0,0,0,0,0,64,0,-1--1--1,,1|(835,905)|
1,70,66,55,0,0,0,0,0,64,0,-1--1--1,,1|(853,975)|
10,71,BWfactor,795,935,31,9,8,3,0,40,0,0,0,0,0-0-0,0-0-0,Arial|11||0-0-0
1,72,58,71,0,0,0,0,0,64,0,-1--1--1,,1|(803,961)|
1,73,56,65,0,0,0,0,0,64,0,-1--1--1,,1|(799,866)|
1,74,57,66,0,0,0,0,0,64,0,-1--1--1,,1|(775,1036)|
1,75,71,55,0,0,0,0,0,64,0,-1--1--1,,1|(829,931)|
1,76,67,100,1,0,0,0,0,64,0,-1--1--1,,1|(969,890)|
1,77,64,55,0,0,0,0,0,64,0,-1--1--1,,1|(908,966)|
1,78,44,71,0,0,0,0,0,64,0,-1--1--1,,1|(757,913)|
1,79,3,65,1,0,0,0,0,64,0,-1--1--1,,1|(743,863)|
1,80,2,66,1,0,0,0,0,64,0,-1--1--1,,1|(711,974)|
1,81,62,52,1,0,0,0,0,64,0,-1--1--1,,1|(547,739)|
10,82,MaxFConvert,680,1099,44,9,8,3,0,0,0,0,0,0
1,83,2,82,1,0,0,0,0,64,0,-1--1--1,,1|(706,1009)|
1,84,63,82,1,0,0,0,0,64,0,-1--1--1,,1|(607,1095)|
12,85,48,488,823,10,8,0,3,0,0,-1,0,0,0
1,86,88,3,4,0,0,22,0,0,0,-1--1--1,,1|(580,823)|
1,87,88,85,100,0,0,22,0,0,0,-1--1--1,,1|(521,823)|
11,88,48,551,823,6,8,34,3,0,0,1,0,0,0
10,89,LeanChng,551,839,35,9,40,3,0,0,-1,0,0,0
12,90,48,487,911,10,8,0,3,0,0,-1,0,0,0
1,91,93,2,4,0,0,22,0,0,0,-1--1--1,,1|(582,911)|
1,92,93,90,100,0,0,22,0,0,0,-1--1--1,,1|(521,911)|
11,93,48,551,911,6,8,34,3,0,0,1,0,0,0
10,94,FatChng,551,927,30,9,40,3,0,0,-1,0,0,0
1,95,62,88,1,0,0,0,0,64,0,-1--1--1,,1|(499,811)|
1,96,63,94,1,0,0,0,0,64,0,-1--1--1,,1|(531,979)|
1,97,61,52,1,0,0,0,0,64,0,-1--1--1,,1|(567,754)|
1,98,61,89,0,0,0,0,0,64,0,-1--1--1,,1|(529,800)|
1,99,60,94,0,0,0,0,0,64,0,-1--1--1,,1|(508,990)|
10,100,Energy Demand,927,758,53,9,8,3,0,0,0,0,0,0
10,101,Energy Supply,1171,754,48,9,8,3,0,0,0,0,0,0
1,102,55,100,1,0,0,0,0,64,0,-1--1--1,,1|(900,799)|
1,103,52,100,1,0,0,0,0,64,0,-1--1--1,,1|(808,752)|
1,104,52,101,1,0,0,0,0,64,0,-1--1--1,,1|(1083,711)|
10,105,MaxLConvert,595,790,44,9,8,3,0,0,0,0,0,0
10,106,MinConvertTime tmin,672,775,56,17,8,131,0,2,0,0,0,0,0-0-0,0-0-0,|11||0-128-0
1,107,106,105,0,0,0,0,0,64,0,-1--1--1,,1|(634,781)|
1,108,3,105,0,0,0,0,0,64,0,-1--1--1,,1|(616,809)|
1,109,60,82,1,0,0,0,0,64,0,-1--1--1,,1|(586,1083)|
1,110,62,105,0,0,0,0,0,64,0,-1--1--1,,1|(507,787)|
1,111,61,105,1,0,0,0,0,64,0,-1--1--1,,1|(559,787)|
10,112,MaxLConvert,1139,687,52,9,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,113,112,101,1,0,0,0,0,64,0,-1--1--1,,1|(1151,714)|
1,114,101,100,0,0,0,0,0,64,0,-1--1--1,,1|(1058,755)|
10,115,EnergyPrice,1091,786,41,9,8,3,0,0,0,0,0,0
1,116,100,115,0,0,0,0,0,64,0,-1--1--1,,1|(1007,771)|
1,117,101,115,0,0,0,0,0,64,0,-1--1--1,,1|(1137,767)|
10,118,EnergySupplied,1187,819,52,9,8,3,0,0,0,0,0,0
10,119,DemandSatisfied,995,803,46,17,8,131,0,0,0,0,0,0
1,120,100,119,0,0,0,0,0,64,0,-1--1--1,,1|(948,772)|
1,121,115,119,0,0,0,0,0,64,0,-1--1--1,,1|(1052,792)|
1,122,101,118,0,0,0,0,0,64,0,-1--1--1,,1|(1176,779)|
1,123,115,118,0,0,0,0,0,64,0,-1--1--1,,1|(1131,800)|
10,124,EnergySupplied,427,871,61,8,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
10,125,DemandSatisfied,544,879,65,8,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,126,125,89,0,0,0,0,0,64,0,-1--1--1,,1|(545,866)|
1,127,124,89,0,0,0,0,0,64,0,-1--1--1,,1|(480,857)|
1,128,124,93,0,0,0,0,0,64,0,-1--1--1,,1|(491,891)|
1,129,125,93,0,0,0,0,0,64,0,-1--1--1,,1|(545,889)|
10,130,MaxFConvert,1295,722,52,9,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,131,130,101,0,0,0,0,0,64,0,-1--1--1,,1|(1239,736)|
10,132,SensHGrEnAvlb alpha,157,913,55,17,8,3,0,2,-1,0,0,0,0-0-0,0-0-0,|11||0-128-0
1,133,132,26,0,0,0,0,0,64,0,-1--1--1,,1|(157,876)|
10,134,DecS,859,875,19,9,8,3,0,2,-1,0,0,0,0-0-0,0-0-0,|11||0-128-0
1,135,134,56,0,0,0,0,0,64,0,-1--1--1,,1|(835,864)|
10,136,InitGL,819,823,21,9,8,3,0,2,-1,0,0,0,0-0-0,0-0-0,|11||0-128-0
1,137,136,56,0,0,0,0,0,64,0,-1--1--1,,1|(813,830)|
10,138,InitM,727,839,17,9,8,3,0,2,-1,0,0,0,0-0-0,0-0-0,|11||0-128-0
1,139,138,56,0,0,0,0,0,64,0,-1--1--1,,1|(749,840)|
10,140,SSGL,771,823,21,9,8,3,0,2,-1,0,0,0,0-0-0,0-0-0,|11||0-128-0
1,141,140,56,0,0,0,0,0,64,0,-1--1--1,,1|(779,830)|
10,142,Male,863,835,26,10,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,143,142,56,0,0,0,0,0,64,0,-1--1--1,,1|(840,838)|
10,144,FatFrac,744,967,27,9,8,3,0,0,0,0,0,0
1,145,44,144,0,0,0,0,0,64,0,-1--1--1,,1|(740,928)|
1,146,2,144,0,0,0,0,0,64,0,-1--1--1,,1|(691,940)|
10,147,CPartition,279,891,33,9,8,3,0,0,0,0,0,0
1,148,62,147,1,0,0,0,0,64,0,-1--1--1,,1|(376,807)|
1,149,63,147,1,0,0,0,0,64,0,-1--1--1,,1|(347,995)|
1,150,2,147,1,0,0,0,0,64,0,-1--1--1,,1|(455,983)|
10,151,InitBMI,874,455,23,10,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|11||255-0-0
10,152,DesFutFatFMI,612,643,47,9,8,3,0,0,0,0,0,0
1,153,37,152,0,0,0,0,0,64,0,-1--1--1,,1|(645,608)|
1,154,152,36,0,0,0,0,0,64,0,-1--1--1,,1|(596,672)|
1,155,3,36,0,0,0,0,0,64,0,-1--1--1,,1|(606,773)|
10,156,EAvail,931,869,38,9,8,3,0,0,0,0,0,0
1,157,119,156,0,0,0,0,0,64,0,-1--1--1,,1|(963,835)|
1,158,100,156,1,0,0,0,0,64,0,-1--1--1,,1|(900,803)|
10,159,EAvail,137,787,30,9,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,160,159,26,0,0,0,0,0,64,0,-1--1--1,,1|(143,804)|
10,161,DesFChng,619,983,36,10,8,3,0,0,0,0,0,0
10,162,DesFutFatFMI,439,998,55,9,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,163,162,161,0,0,0,0,0,64,0,-1--1--1,,1|(531,990)|
1,164,2,161,0,0,0,0,0,64,0,-1--1--1,,1|(630,945)|
10,165,"DesFEnNeed/Loss",595,1015,64,8,8,3,0,0,0,0,0,0
1,166,161,165,0,0,0,0,0,64,0,-1--1--1,,1|(610,994)|
1,167,63,165,0,0,0,0,0,64,0,-1--1--1,,1|(553,1048)|
1,168,60,165,0,0,0,0,0,64,0,-1--1--1,,1|(518,1032)|
10,169,"DesFEnNeed/Loss",976,711,73,8,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,170,169,100,0,0,0,0,0,64,0,-1--1--1,,1|(957,729)|
1,171,169,101,0,0,0,0,0,64,0,-1--1--1,,1|(1064,730)|
10,172,"DesLEnrNeed/Loss",1358,1124,58,30,8,130,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
10,173,"DesFEnNeed/Loss",1245,1106,73,8,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
10,174,CPartition,847,711,42,10,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
10,175,ExpectedFF,733,427,40,10,8,3,0,0,0,0,0,0
1,176,37,175,0,0,0,0,0,64,0,-1--1--1,,1|(698,511)|
10,177,dl,591,1047,16,10,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,178,177,165,0,0,0,0,0,64,0,-1--1--1,,1|(592,1036)|
10,179,InitBD,399,249,21,10,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|11||255-0-0
1,180,17,1,0,0,0,0,0,64,1,-1--1--1,,1|(302,581)|
10,181,CInitAge,525,398,29,10,8,3,0,0,0,0,0,0
1,182,15,181,0,0,0,0,0,64,1,-1--1--1,,1|(427,338)|
10,183,InitL,657,504,15,10,8,3,0,0,0,0,0,0
10,184,InitF,605,480,15,10,8,3,0,0,0,0,0,0
1,185,175,183,0,0,0,0,0,64,1,-1--1--1,,1|(699,460)|
1,186,151,184,0,0,0,0,0,64,1,-1--1--1,,1|(742,466)|
1,187,17,183,0,0,0,0,0,64,1,-1--1--1,,1|(504,490)|
1,188,151,183,0,0,0,0,0,64,1,-1--1--1,,1|(768,478)|
1,189,175,184,0,0,0,0,0,64,1,-1--1--1,,1|(670,452)|
1,190,17,184,0,0,0,0,0,64,1,-1--1--1,,1|(478,477)|
1,191,184,2,0,0,0,0,0,64,1,-1--1--1,,1|(620,687)|
1,192,183,3,0,0,0,0,0,64,1,-1--1--1,,1|(647,655)|
10,193,EndoEnergyIntake,1456,908,62,8,8,3,0,0,0,0,0,0
12,194,0,1302,352,242,205,3,188,0,0,2,0,0,0
BMI,Bar Graph
10,195,EthCode,738,267,30,10,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|11||255-0-0
10,196,FemaleCrrDesFF,862,410,67,8,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,197,196,175,0,0,0,0,0,64,0,-1--1--1,,1|(794,418)|
10,198,MaleCrrDesFF,764,377,59,8,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,199,198,175,0,0,0,0,0,64,0,-1--1--1,,1|(753,395)|
10,200,FemaleDesFutFMI,530,616,70,8,8,2,0,1,-1,0,0,0,128-128-128,0-0-0,|11||255-0-0
1,201,200,152,0,0,0,0,0,64,0,-1--1--1,,1|(562,626)|
10,202,MaleDesFutFMI,559,569,60,9,8,2,0,1,-1,0,0,0,128-128-128,0-0-0,|11||255-0-0
1,203,202,152,0,0,0,0,0,64,0,-1--1--1,,1|(580,600)|
1,204,8,36,1,0,0,0,0,64,0,-1--1--1,,1|(515,676)|
1,205,38,36,0,0,0,0,0,64,0,-1--1--1,,1|(675,642)|
1,206,8,161,0,0,0,0,0,64,0,-1--1--1,,1|(526,776)|
1,207,47,38,0,0,0,0,0,64,0,-1--1--1,,1|(819,587)|
10,208,BMIChgSpeed sb,771,536,49,17,8,3,0,2,-1,0,0,0,0-0-0,0-0-0,|11||0-128-0
1,209,208,38,0,0,0,0,0,64,0,-1--1--1,,1|(768,554)|
1,210,174,100,0,0,0,0,0,64,0,-1--1--1,,1|(881,731)|
10,211,IndivHFac,489,520,34,10,8,3,0,2,-1,0,0,0,0-0-0,0-0-0,|11||255-0-0
1,212,211,32,0,0,0,0,0,64,0,-1--1--1,,1|(452,524)|
10,213,HtModChild,595,282,39,10,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|11||0-128-0
10,214,HtModAdlt,557,308,35,10,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|11||0-128-0
10,215,HVFac,380,410,23,10,8,3,0,0,0,0,0,0
10,216,HFac,505,449,19,10,8,3,0,0,0,0,0,0
1,217,215,32,0,0,0,0,0,64,0,-1--1--1,,1|(399,462)|
1,218,216,17,0,0,0,0,0,64,0,-1--1--1,,1|(440,458)|
10,219,GAge,433,331,20,10,8,3,0,0,0,0,0,0
1,220,15,219,0,0,0,0,0,64,0,-1--1--1,,1|(379,304)|
1,221,181,219,0,0,0,0,0,64,0,-1--1--1,,1|(484,368)|
10,222,GFactor,465,291,28,10,8,3,0,2,-1,0,0,0,0-0-0,0-0-0,|11||255-0-0
1,223,222,219,0,0,0,0,0,64,0,-1--1--1,,1|(453,305)|
1,224,219,17,0,0,0,0,0,64,0,-1--1--1,,1|(387,397)|
1,225,219,38,1,0,0,0,0,64,0,-1--1--1,,1|(605,412)|
1,226,219,8,0,0,0,0,0,64,0,-1--1--1,,1|(436,450)|
10,227,GAge,867,853,29,10,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,228,227,56,0,0,0,0,0,64,0,-1--1--1,,1|(840,851)|
1,229,219,216,0,0,0,0,0,64,0,-1--1--1,,1|(464,384)|
1,230,219,215,0,0,0,0,0,64,0,-1--1--1,,1|(410,364)|
10,231,AgDisc,299,399,24,10,8,3,0,2,-1,0,0,0,0-0-0,0-0-0,|11||0-128-0
1,232,231,215,0,0,0,0,0,64,0,-1--1--1,,1|(333,403)|
10,233,FinFac,311,370,24,10,8,3,0,2,-1,0,0,0,0-0-0,0-0-0,|11||0-128-0
1,234,233,215,0,0,0,0,0,64,0,-1--1--1,,1|(338,386)|
10,235,HFacScl,351,355,29,10,8,3,0,2,-1,0,0,0,0-0-0,0-0-0,|11||0-128-0
1,236,235,215,0,0,0,0,0,64,0,-1--1--1,,1|(361,376)|
10,237,TotalDesiredEnergy,1220,990,67,8,8,3,0,0,-1,0,0,0
1,238,59,237,0,0,0,0,0,64,0,-1--1--1,,1|(1265,966)|
1,239,55,237,1,0,0,0,0,64,0,-1--1--1,,1|(1051,970)|
1,240,173,237,0,0,0,0,0,64,0,-1--1--1,,1|(1234,1054)|
1,241,172,237,0,0,0,0,0,64,0,-1--1--1,,1|(1283,1050)|
10,242,SupplyCurve,1070,1068,43,10,8,3,0,16,-1,0,0,0,0-0-0,0-0-0,|12|U|0-0-0
10,243,extra 0,1024,1177,23,10,8,3,0,0,-1,0,0,0
1,244,243,242,0,0,0,0,0,64,0,-1--1--1,,1|(1043,1128)|
10,245,supply priority,1093,1207,46,10,8,131,0,16,-1,0,0,0,0-0-0,0-0-0,|12|U|0-0-0
1,246,245,242,0,0,0,0,0,64,0,-1--1--1,,1|(1082,1144)|
10,247,supply priority width,1148,1183,47,17,8,3,0,0,-1,0,0,0
1,248,247,242,0,0,0,0,0,64,0,-1--1--1,,1|(1110,1127)|
10,249,supply priority type,1243,1226,47,17,8,3,0,0,-1,0,0,0
1,250,249,242,0,0,0,0,0,64,0,-1--1--1,,1|(1157,1148)|
1,251,242,118,0,0,0,0,0,64,0,-1--1--1,,1|(1125,949)|
1,252,242,115,0,0,0,0,0,64,0,-1--1--1,,1|(1079,933)|
10,253,DemandCurve,956,1066,48,10,8,3,0,16,-1,0,0,0,0-0-0,0-0-0,|12|U|0-0-0
10,254,Dextra 0,766,1218,29,10,8,3,0,0,-1,0,0,0
1,255,254,253,0,0,0,0,0,64,0,-1--1--1,,1|(855,1146)|
10,256,Demand priority,794,1279,29,17,8,131,0,16,-1,0,0,0,0-0-0,0-0-0,|12|U|0-0-0
1,257,256,253,0,0,0,0,0,64,0,-1--1--1,,1|(872,1174)|
10,258,Demand priority width,921,1316,54,17,8,3,0,0,-1,0,0,0
1,259,258,253,0,0,0,0,0,64,0,-1--1--1,,1|(937,1194)|
10,260,Demand priority type,1005,1275,39,17,8,3,0,0,-1,0,0,0
1,261,260,253,0,0,0,0,0,64,0,-1--1--1,,1|(981,1173)|
1,262,253,119,0,0,0,0,0,64,0,-1--1--1,,1|(973,944)|
1,263,253,115,0,0,0,0,0,64,0,-1--1--1,,1|(1019,931)|
10,264,ExternalEIShock,1376,679,55,8,8,3,0,0,-1,0,0,0
10,265,INITIAL TIME,1321,615,30,17,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,266,265,264,0,0,0,0,0,64,0,-1--1--1,,1|(1347,646)|
10,267,ShockSize,1452,630,35,10,8,3,0,2,-1,0,0,0,0-0-0,0-0-0,|11||0-128-0
1,268,267,264,0,0,0,0,0,64,0,-1--1--1,,1|(1418,651)|
10,269,ShockTime,1390,607,38,10,8,3,0,2,-1,0,0,0,0-0-0,0-0-0,|11||0-128-0
1,270,269,264,0,0,0,0,0,64,0,-1--1--1,,1|(1384,637)|
10,271,Eff Age on Growth,135,612,35,17,8,3,0,0,0,0,0,0
1,272,219,271,0,0,0,0,0,64,0,-1--1--1,,1|(293,463)|
1,273,271,13,1,0,0,0,0,64,0,-1--1--1,,1|(158,664)|
10,274,SWMaintEnr,1425,1051,44,10,8,3,0,18,0,0,0,0,0-0-0,0-0-0,|11|B|255-128-0
1,275,274,237,0,0,0,0,0,64,0,-1--1--1,,1|(1325,1021)|
10,276,Eff Age on Growth,1167,1071,40,17,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,277,276,237,0,0,0,0,0,64,0,-1--1--1,,1|(1192,1031)|
10,278,EnergyIntake,1289,836,44,10,8,3,0,0,0,0,0,0
10,279,ExoEnergyIntake,1429,787,57,8,8,3,0,0,0,0,0,0
1,280,279,278,0,0,0,0,0,64,0,-1--1--1,,1|(1368,807)|
1,281,193,278,0,0,0,0,0,64,0,-1--1--1,,1|(1381,875)|
1,282,278,67,0,0,0,0,0,64,0,-1--1--1,,1|(1252,880)|
1,283,278,101,0,0,0,0,0,64,0,-1--1--1,,1|(1234,798)|
1,284,193,279,0,0,0,0,0,64,0,-1--1--1,,1|(1444,854)|
10,285,ExoEnrSwTime,1449,727,52,8,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|11||0-128-0
1,286,285,278,0,0,0,0,0,64,0,-1--1--1,,1|(1376,776)|
1,287,285,279,0,0,0,0,0,64,0,-1--1--1,,1|(1441,750)|
10,288,Time,1395,835,26,10,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,289,288,279,0,0,0,0,0,64,0,-1--1--1,,1|(1408,815)|
1,290,264,278,0,0,0,0,0,64,0,-1--1--1,,1|(1336,750)|
1,291,288,278,0,0,0,0,0,64,0,-1--1--1,,1|(1358,835)|
10,292,MinConvertTime tmin,639,1065,60,17,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,293,292,82,1,0,0,0,0,64,0,-1--1--1,,1|(641,1097)|
1,294,106,52,0,0,0,0,0,64,0,-1--1--1,,1|(680,762)|
1,295,292,165,0,0,0,0,0,64,0,-1--1--1,,1|(618,1040)|
10,296,CPConstant,193,968,41,10,8,3,0,0,0,0,0,0
1,297,296,147,0,0,0,0,0,64,0,-1--1--1,,1|(230,934)|
1,298,179,15,0,0,0,0,0,64,0,-1--1--1,,1|(377,264)|
10,299,HFctr,617,352,19,10,8,3,0,0,0,0,0,0
1,300,195,299,0,0,0,0,0,64,1,-1--1--1,,1|(683,305)|
1,301,214,299,0,0,0,0,0,64,1,-1--1--1,,1|(580,325)|
1,302,213,299,0,0,0,0,0,64,1,-1--1--1,,1|(603,310)|
1,303,299,216,0,0,0,0,0,64,0,-1--1--1,,1|(566,395)|
1,304,299,8,1,0,0,0,0,64,0,-1--1--1,,1|(546,486)|
1,305,237,193,1,0,0,0,0,64,0,-1--1--1,,1|(1373,969)|
10,306,EndoEIShock,1556,813,45,10,8,3,0,0,-1,0,0,0
1,307,306,193,0,0,0,0,0,64,0,-1--1--1,,1|(1510,856)|
10,308,FMI,986,589,14,10,8,3,0,0,0,0,0,0
10,309,Fat Mass,1033,619,40,10,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,310,309,308,0,0,0,0,0,64,0,-1--1--1,,1|(1014,606)|
1,311,48,308,0,0,0,0,0,64,0,-1--1--1,,1|(949,598)|
10,312,CDC BMI,973,510,41,10,8,2,0,3,0,0,0,0,128-128-128,0-0-0,|11||128-128-128
10,313,Time,1595,845,26,10,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
10,315,FINAL TIME,1237,612,26,17,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
10,316,FFFactor,665,400,31,10,8,3,0,2,-1,0,0,0,0-0-0,0-0-0,|11||255-0-0
1,317,316,175,0,0,0,0,0,64,0,-1--1--1,,1|(692,410)|
10,318,TIME STEP,1557,769,26,17,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
1,319,318,279,0,0,0,0,0,64,0,-1--1--1,,1|(1514,774)|
\\\---/// Sketch information - do not modify anything except names
V300  Do not put anything below this section - it will be ignored
*View 2
$192-192-192,0,Arial|11||0-0-0|0-0-0|0-0-255|-1--1--1|-1--1--1|96,96,100,0
10,1,MaleBMI,90,313,60,19,8,131,0,2,0,0,0,0,0-0-0,0-0-0,|11||0-0-255
10,2,FemaleBMI,96,274,38,10,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|11||0-0-255
10,3,MaleHeight,118,218,38,10,8,131,0,2,0,0,0,0,0-0-0,0-0-0,|11||0-0-255
10,4,FemaleHeight,117,243,46,10,8,3,0,2,0,0,0,0,0-0-0,0-0-0,|11||0-0-255
10,5,dl,85,350,9,9,8,3,0,0,0,0,0,0
10,6,GammaF,172,437,31,9,8,3,0,42,0,0,0,0,0-0-0,0-0-0,Arial|11||0-128-0
10,7,PA,562,141,19,9,8,3,0,42,0,0,0,0,0-0-0,0-0-0,Arial|11||0-128-0
10,8,beta,162,558,16,9,8,3,0,42,0,0,0,0,0-0-0,0-0-0,Arial|11||0-128-0
10,9,EtaF,42,433,17,9,8,3,0,42,0,0,0,0,0-0-0,0-0-0,Arial|11||0-128-0
10,10,EtaL,106,406,17,9,8,3,0,42,0,0,0,0,0-0-0,0-0-0,Arial|11||0-128-0
10,11,RhoL,183,394,19,9,8,3,0,42,0,0,0,0,0-0-0,0-0-0,Arial|11||0-128-0
10,12,RhoF,90,466,20,9,8,3,0,42,0,0,0,0,0-0-0,0-0-0,Arial|11||0-128-0
10,13,MinConvertTime tmin,202,333,42,19,8,131,0,2,0,0,0,0,0-0-0,0-0-0,|11||0-128-0
10,14,SensHGrEnAvlb alpha,109,182,53,9,8,3,0,2,-1,0,0,0,0-0-0,0-0-0,|11||0-128-0
10,15,DecS,180,713,19,9,8,3,0,2,-1,0,0,0,0-0-0,0-0-0,|11||0-128-0
10,16,InitGL,140,661,21,9,8,3,0,2,-1,0,0,0,0-0-0,0-0-0,|11||0-128-0
10,17,InitM,64,678,17,9,8,3,0,2,-1,0,0,0,0-0-0,0-0-0,|11||0-128-0
10,18,SSGL,90,662,21,9,8,3,0,2,-1,0,0,0,0-0-0,0-0-0,|11||0-128-0
10,19,CInitAge,487,168,28,10,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
10,20,Male,487,168,26,10,8,2,0,3,-1,0,0,0,128-128-128,0-0-0,|11||128-128-128
///---\\\
:GRAPH Main_Outputs
:TITLE Main Outputs
:SCALE
:VAR Height
:Y-MIN 0
:Y-MAX 2
:SCALE
:VAR W
:Y-MIN 0
:Y-MAX 130
:SCALE
:VAR FatFrac
:Y-MIN 0
:Y-MAX 1
:SCALE
:VAR BMI
:Y-MIN 0
:Y-MAX 35

:GRAPH GRAPH
:TITLE Hall Comparison
:SCALE
:VAR W[p2]
:Y-MIN 50
:Y-MAX 80
:DATASET V25-Hall80
:SCALE
:VAR W[p2]
:Y-MIN 90
:Y-MAX 120
:DATASET V25-Hall120

:GRAPH Height_Comparison_with_C
:TITLE Height Comparison with CDC Charts
:SCALE
:VAR Height[p1]|Male
:VAR Height[p2]|Female
:VAR Current Des H[p1]|CDC Chart Male
:VAR Current Des H[p2]|CDC Chart Female

:GRAPH BMI_Comparison_with_CDC_
:TITLE BMI Comparison with CDC Charts
:SCALE
:VAR BMI[p1]|Male
:VAR BMI[p2]|Female
:VAR CDC BMI[p1]|CDC Male
:VAR CDC BMI[p2]|CDC Female
:L<%^E!@
1:V25-LargeDeficit.vdf
9:V25-LargeDeficit
22:$,Dollar,Dollars,$s
22:Hour,Hours
22:Month,Months
22:Person,People,Persons
22:Unit,Units
22:Week,Weeks
22:Year,Years
22:Day,Days
11:SimpleChildhoodModel-V22-Pop-Mom.voc
12:SimpleChildhoodModel-V4-Pop-Mom.vpd
13:SLength,MomData-New, InitData, MoVars
18:SimpleChildhoodModel-V2.vsc
20:SimpleChildhoodModel-V2.lst
15:0,0,0,0,0,0
19:75,0
27:0,
34:0,
4:Time
5:DesFutFatFMI[People]
35:Date
36:YYYY-MM-DD
37:2000
38:1
39:1
40:2
41:0
24:0
25:20
26:20
6:A1
6:AD
6:BMID
6:c1
6:c2
6:d1
6:e1
6:Fat
6:g211
6:HD
6:Lean
6:M
6:Mexican
6:mo1
6:mo10
6:mo2
6:mo3
6:mo4
6:mo5
6:mo6
6:mo7
6:mo8
6:mo9
6:p2
6:ptype
6:ResF
6:ResL
6:s1
6:sa1
6:sa10
6:sa100
6:sa101
6:sa102
6:sa103
6:sa104
6:sa105
6:sa106
6:sa107
6:sa108
6:sa109
6:sa11
6:sa110
6:sa111
6:sa112
6:sa113
6:sa114
6:sa115
6:sa116
6:sa117
6:sa118
6:sa119
6:sa12
6:sa120
6:sa121
6:sa122
6:sa123
6:sa124
6:sa125
6:sa126
6:sa127
6:sa128
6:sa129
6:sa13
6:sa130
6:sa131
6:sa132
6:sa133
6:sa134
6:sa135
6:sa136
6:sa137
6:sa138
6:sa139
6:sa14
6:sa140
6:sa141
6:sa142
6:sa143
6:sa144
6:sa145
6:sa146
6:sa147
6:sa148
6:sa149
6:sa15
6:sa150
6:sa151
6:sa152
6:sa153
6:sa154
6:sa155
6:sa156
6:sa157
6:sa158
6:sa159
6:sa16
6:sa160
6:sa17
6:sa18
6:sa19
6:sa2
6:sa20
6:sa21
6:sa22
6:sa23
6:sa24
6:sa25
6:sa26
6:sa27
6:sa28
6:sa29
6:sa3
6:sa30
6:sa31
6:sa32
6:sa33
6:sa34
6:sa35
6:sa36
6:sa37
6:sa38
6:sa39
6:sa4
6:sa40
6:sa41
6:sa42
6:sa43
6:sa44
6:sa45
6:sa46
6:sa47
6:sa48
6:sa49
6:sa5
6:sa50
6:sa51
6:sa52
6:sa53
6:sa54
6:sa55
6:sa56
6:sa57
6:sa58
6:sa59
6:sa6
6:sa60
6:sa61
6:sa62
6:sa63
6:sa64
6:sa65
6:sa66
6:sa67
6:sa68
6:sa69
6:sa7
6:sa70
6:sa71
6:sa72
6:sa73
6:sa74
6:sa75
6:sa76
6:sa77
6:sa78
6:sa79
6:sa8
6:sa80
6:sa81
6:sa82
6:sa83
6:sa84
6:sa85
6:sa86
6:sa87
6:sa88
6:sa89
6:sa9
6:sa90
6:sa91
6:sa92
6:sa93
6:sa94
6:sa95
6:sa96
6:sa97
6:sa98
6:sa99
6:T1
6:T2
6:T3
6:T4