It is possible to use "input parameters" with "standard error" in fitting function nls

Dear all,

I would like to introduce an input parameter with an associated standard
error to perform a fitting using the nls function (or any similar function):

parameter1 = 9.00 +/- 0.20  (parameter 1 has a value of 9.00 and standard
error of 0.20)

fittingResults <- nls(y ~ function(xdata, ydata, parameter1,
fittingparameter),start=list(parameter1=9.00, fittingparameter=5.00))
summary(fittingResults)

Does anyone know how to  introduce the associated standard error of the
parameter to the fitting function?

Many thanks for your help,

Best regards

Vicente

_______________________________________
*Dr. Vicente Mart? Centelles*
*Postdoctoral Researcher (VALi+d Generalitat Valenciana, Spain)*


*Universitat Jaume I*Departamento de Qu?mica Inorg?nica y Org?nica
Avda Sos Baynat s/n
E-12071-Castell?n (Spain)
Tel.: +34 964728235
Fax: +34 964728214
e-mail: martiv at qio.uji.es

*web page*: www.vmarti.es

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