[R] Error in eval(expr, envir, enclos) : object 'N' not found

[hansoffate]

I'm running an LSODA to generate some graphs, but I need to stop at a certain
point and use those values to generate another LSODA output.  This is
working fine, but when I try to run the second LSODA, I get the "Error in
eval(expr, envir, enclos) : object 'N' not found".  Any ideas what can be
causing this? I have no object 'N' anywhere in the script.  I made an
identical version of models states, parameters, and everything just by
adding 2 after each one, and I'm still getting this error.  

Thanks,
-Hans

::CODE::
require(odesolve);
###Params for running script ##
iniT=1E3; iniN=10; iniM=0; iniC=1E3;
num_days = 30; interval_size = .1; OF_prcnt = .10;

model <- function(t, state, pars)
{
  with (as.list(c(state, pars)), {
        dT=(a*T-a*T*b*T) - (c1*N*T) - (Kt*M*T)
        dN=a1 - (f*N) + g * (T/(h+T)) * N - (p * N * T) - (Kn * M * N)
        dC=a2 - (beta * C) - (Kc * M  * C)
        dM= -(gamma) * M + Vm
       
    return(list(c(dT,dN,dC,dM)))
  })
}

model2 <- function(t, state2, pars2)
{
  with (as.list(c(state2, pars2)), {
        dT=(a*T-a*T*b*T) - (c1*N*T) - (Kt*M*T)
        dN=a1 - (f*N) + g * (T/(h+T)) * N - (p * N * T) - (Kn * M * N)
        dC=a2 - (beta * C) - (Kc * M  * C)
        dM= -(gamma) * M + Vm
       
    return(list(c(dT,dN,dC,dM)))
  })
}

### First Half - Tumor growth to 10%
pars <- list( Tini=iniT, Nini=iniN, Mini=iniM, Cini=iniC,
                  a=4.31E-3, b=1.02E-14, c1=3.41E-10, Kt=8E-1,
              f=4.12E-2, g=1.5E-2, h=2.02E1, beta=1.20E-2, gamma=9E-1,
                  Kc=6E-1, Kn=6E-1, p=2E-11, a1=1.2E4, a2=7.5E8, Vm=0 )

tout    <- seq(0, num_days, by=interval_size)
state   <- c(T = pars$Tini, N = pars$Nini, C = pars$Cini, M = pars$Mini)
out     <- lsoda(state, tout, model, pars)

## Finding position at which OF function is reached
final_matrix = out;
loopsize = (num_days / interval_size) + 1
OF_tumor_size = iniT + (OF_prcnt * iniT)

## Sentinel Value to find at which row in the matrix reaches OF_tumor_size
OF_row=-1;  
for(i in 1:loopsize) {
  if( out[i,2] >= OF_tumor_size) {
    OF_row=i;
    break;
  }
}

if(OF_row != -1) {
  ##Params setup
  OF_iniT=out[OF_row,2]; OF_iniN=out[OF_row,3]; OF_iniC=out[OF_row,4];
OF_iniM=out[OF_row,5];
  pars2 <- list( Tini=OF_iniT, Nini=OF_iniN, Mini=OF_iniM, Cini=OF_iniC,
                  a=4.31E-3, b=1.02E-14, c1=3.41E-10, Kt=8E-1,
                f=4.12E-2, g=1.5E-2, h=2.02E1, beta=1.20E-2, gamma=9E-1,
                    Kc=6E-1, Kn=6E-1, p=2E-11, a1=1.2E4, a2=7.5E8, Vm=0 )
  state2   <- c(T = pars2$Tini, N = pars2$Nini, C = pars2$Cini, M =
pars2$Mini)
  out2     <- lsoda(state2, tout, model2, pars2)
} 
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