# Description of the program: nstep

This program makes a local linear ansatz and iterates a artificial trajectory. The initial values for the trajectory are the last points of the original time series. Thus it actually forecasts the time series.

## Usage:

nstep [Options]

Everything not being a valid option will be interpreted as a potential datafile name. Given no datafile at all, means read stdin. Also - means stdin

Possible options are:

Option | Description | Default
--- | --- | ---
-l# | number of points to use | whole file
-x# | number of lines to be ignored | 0
-c# | column to be read | 1
-m# | embedding dimension | 2
-d# | delay for the embedding | 1
-L# | length of prediction | 1000
-k# | minimal numbers of neighbors for the fit | 30
-r# | neighborhood size to start with | (interval of data)/1000
-f# | factor to increase the neighborhood size if not enough neighbors were found | 1.2
-o[#] | output file name | without name: 'datafile'.cast (or stdin.cast if data were read from stdin) without -o results are written to stdout
-V# | verbosity level 0: only panic messages 1: add input/output messages | 1
-h | show these options | none

## Description of the Output

The output is just the forecasted time series.

View the C-sources.

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