### 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

> xn=a1xn-1+...+apxn-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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