Provided by: gbutils_5.7.1-1_amd64 bug


       gbnlqreg - Non linear quantile regression


       gbnlqreg [options] <function definition>


       Non linear quantile 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.


       -O     type of output (default 0)

       0      parameters

       1      parameters and errors

       2      <variables> and residuals

       3      parameters and variance matrix

       -V     variance matrix estimation (default 0)

              0 <gradF gradF^t> 1  < J^{-1} > 2 < H^{-1} > 3  < H^{-1} J H^{-1} >

       -q     set the quantile (default .5)

       -M     choose optimization method (default 0)

       0      Nelder-Mead Simplex o(N)

       1      Nelder-Mead Simplex o(N^2)

       -s     initial simplex scaling (default 1)

       -e     minimization tolerance (default 1e-5)

       -F     input fields separators (default " \t")

       -h     this help

       -v     verbosity level (default 0)

       0      just results

       1      comment headers

       2      summary statistics

       2      summary statistics

       3      covariance matrix

       4      minimization steps

       5      model definition

       -N     max minimization steps (default 500)


       Written by Giulio Bottazzi


       Report bugs to <>

       Package home page <>


       Copyright  © 2001-2018 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;

       This  program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
       without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR  PURPOSE.
       See the GNU General Public License for more details.