> Now, I am including Richar Upton's 2 cm model implementation and > Christoffer Tornoe's nls solution (I recommend Christoffer's > nlmeODE package for these problems also if multi-response data is > available) The code follows:
Multi-response data?, Is there a way of dealing with those multiresponse nonlinear regression problems in R (a la Chapter 4 of Bates and Watts, if possible)?, the only alternative I heard of was in a mail from Douglas Bates, using optim() and the definition of the Box-Drapper criterion, prod(svd(y-f(p1,p2,p3), nu=0, nv=0)$d)^2 if you wish to minimize a matrix of y's in respect to p1,p2 and p3. best regards, Jesus -------------------------------------------------------------- Jesús María Frías Celayeta School of Food Sci. and Env. Health. Faculty of Tourism and Food Dublin Institute of Technology Cathal Brugha St., Dublin 1. Ireland Phone: +353 1 4024459 Fax: +353 1 4024495 http://www.dit.ie/DIT/tourismfood/science/staff/frias.html -------------------------------------------------------------- -- This message has been scanned for content and viruses by the DIT Information Services MailScanner Service, and is believed to be clean. http://www.dit.ie ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
