Performs locally constant predictions on scalar time series and prints the root mean squared prediction error. Predictions are made a time ahead given by -s. Either -r or -v must be present. Predictions are written to file_pred.
-m embedding dimension
-r absolute radius of neighbourhoods
-v same as fraction of standard deviation
-s time steps ahead forecast (one step)
-l number of values to be read (all)
-x number of values to be skipped (0)
-c column to be read (1 or file,#)
-o output file name, just -o means file_pred
-V verbosity level (0 = only fatal errors)
-h show this message
Note: A version of fclazy is used that implements fast neighbour search (not like in the book).