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How to use "gradient" in call to "nls"?

daemon@ATHENA.MIT.EDU (Jacques Rioux)
Tue Feb 14 15:11:43 1995

Date: Tue, 14 Feb 1995 14:36:04 -0500
To: s-news@utstat.toronto.edu
From: jrioux@act.ulaval.ca (Jacques Rioux)

Dear Netters,

       Could anyone give me a hint as to how to use the "gradient" argument 
in a call to "nls"? I have read the online help and looked at "deriv" and 
what I have come to conclude  is that gradient should be a matrix of 
functions of the parameters that would be reevaluated each time by nls' 
iterations. Am I out in left field or am I getting there?

Thanks,

****************************************************************************
*   Prof. Jacques Rioux             e-mail: jrioux@act.ulaval.ca           * 
*   Ecole d'actuariat               tel   : (418) 656-7299                 *
*   Pavillon Vachon                                                        *
*   Universite Laval                fax   : (418) 656-7790                 *
*   Quebec Canada                                                          *
*   G1K-7P4                                                                *
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