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PROGRAM:

NAME


gbnlreg - 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

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