### Run autoregressive model

`ar-run -l# [-p# -I# -o `*outfile*` -x# -V# -h] `* file*

` -l `number of iterations (l=0: infinite)

` -p `order of AR-model (default determined from input)

` -I `seed for random numbers

` -x `number of transients discarded (10000)

` -o `output file name, just ` -o `means ar.dat

` -V `verbosity level (0 = only fatal errors)

` -h `show this message

Prints iterates of an autoregressive model
x_{n}=a_{1}x_{n-1}+...+a_{p}x_{n-p}
+ noise.

to `stdout`. The coefficients are read from
`file`. The format is either one line containing
the rms amplitude of the increments and one for each of the coefficients, or
alternatively the output of ar-model.
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