rodeoCompareAll: Simulate and compare with observations for multiple data sets
In dkneis/knut: Kneis utilities

Extends rodeoCompare for use with multiple data sets.

1	rodeoCompareAll(globals, locals, model, lst_obs, extract, t0 = NULL)

`globals`	Named numeric vector holding parameters and/or initial values. These are global in the sense that they are common to all elements of `obs`.
`locals`	A numeric matrix with row and column names. Each row holds the values of parameters and/or initial values applying to a specific set of observations. The matching between `locals` and `lst_obs` is deduced from the row and element names, respectively.
`model`	Object of class `rodeo`.
`lst_obs`	A list of numeric matrices, each of which holds numeric times in the first column and values of observed variables in the remaining columns.
`extract`	A function that extracts simulated data from the output matrix of `simul`. It should return a matrix of dimensions nt nv* where nt is the number of model output times and nv equals the number of value columns in `obs`, i.e. excluding the time column. Typically, the function selects a specific column (or multiple colums) from the original output matrix of the ODE solver or it computes new column(s) from the original ones (e.g. the sum of two state variables).
`t0`	Time corresponding to the supplied initial values in argument `inputs`. If `NULL`, the element `obs[1,1]` will be used. The value typically needs to be set if the observations are delayed with respect to the start of the simulation period.