man gbnlreg (1): Non linear regression

SYNOPSIS

gbnlreg [options] <function definition>

DESCRIPTION

Non linear least square regression. Read data in columns (X_1 .. X_N). The model is specified by a function f(x1,x2...) using variables names x1,x2,..,xN for the first, second .. N-th column of data. f(x1,x2,...) are assumed i.i.d.

OPTIONS

-O: type of output (default 0)
0: parameters
1: parameters and errors
2: <variables> and residuals
3: parameters and variance matrix
4: parameters, errors and s-scores
-V: variance matrix estimation (default 0)
0: <gradF gradF^t>
1: < J^{-1} >
2: < H^{-1} >
3: < H^{-1} J H^{-1} >
-v: verbosity level (default 0)
0: just results
1: comment headers
2: summary statistics
3: covariance matrix
4: minimization steps
5: model definition
-M: estimation method (default 0)
0: ordinary least square (OLS)
1: minimum absolute deviation (MAD)
2: asymmetric MAD
-e: minimization tolerance (default 1e-5)
-i: minimization max iterations (default 500)
-E: restart accuracy (default 1e-5, ignored with option -M 0)
-I: restart max iterations (default 2000, ignored with option -M 0)
-F: input fields separators (default " \t")
-h: this help

AUTHOR

Written by Giulio Bottazzi

REPORTING BUGS

Report bugs to <[email protected]>

Package home page <http://cafim.sssup.it/~giulio/software/gbutils/index.html>

COPYRIGHT

Copyright © 2001-2015 Giulio Bottazzi This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License (version 2) as published by the Free Software Foundation;