OPTIMIZATION DESCRIPTION (required)
  SpotRate     Project name, pname, char*
       9.0     SNP version, defines format of this file, snpver, float
        10     Maximum number of primary iterations, itmax0, int
       290     Maximum number of secondary iterations, itmax1, int
  1.00e-08     Convergence tolerance, toler, float
         1     Write detailed output if print=1, int
         0     task, 0 fit, 1 res, 2 mu, 3 sig, 4 plt, 5 sim, 6 usr, int
         0     Increase simulation length by extra, int
  3.00e+00     Scale factor for plots, sfac, float
       457     Seed for simulations, iseed, int
        50     Number of plot grid points, ngrid, int
         0     Statistics not computed if kilse=1, int
DATA DESCRIPTION (required)
         1     Dimension of the time series, M, int
       834     Number of observations, n, int
        14     Provision for initial lags, must have 3<drop<n, int
         0     Condition set for plt is mean if cond=0, it-th obs if it, int
         0     Reread, do not use data from prior fit, if reread=1, int
dmark.dat      File name, any length, no embedded blanks, dsn, string
4              Read these white space separated fields, fields, intvec
TRANSFORM DESCRIPTION (required)
         0     Normalize using start values if useold=1 else compute, int
         0     Make variance matrix diagonal if diag=1, int
         1     Spline transform x if squash=1, logistic if squash=2, int
  2.00e+00     Inflection point of transform in normalized x, inflec, float
POLYNOMIAL START VALUE DESCRIPTION (required)
         0     Degree of the polynomial in z, Kz, int
         0     Degree of interactions in z, Iz, int
  1.00e-08     Zero or positive to get positive SNP for EMM, eps0, float
         1     Lags in polynomial part, Lp, int
         0     Max degree of z polynomial that depends on x, maxKz, int
         0     Max interaction of z polynomial that depends on x, maxIz, int
         0     Degree of the polynomial in x, Kx, int
         0     Degree of the interactions x, Ix, int
MEAN FUNCTION START VALUE DESCRIPTION (required)
         1     Lags in VAR part, Lu, int
         1     Intercept if icept=1, int
VARIANCE FUNCTION START VALUE DESCRIPTION (required)
         0     Lags in GARCH (autoregressive) part, may be zero, Lg, int
         s     Coded 's','d','f' for scalar, diagonal, full, Qtype, char
         0     Lags in ARCH (moving average) part, may be zero, Lr, int
         s     Coded 's','d','f' for scalar, diagonal, full, Ptype, char
         0     Lags in leverage effect of GARCH, may be zero, Lv, int
         s     Coded 's','d','f' for scalar, diagonal, full, Vtype, char
         0     Lags in additive level effect, may be zero, Lw, int
         s     Coded 's','d','f' for scalar, diagonal, full, Wtype, char