Hello as the subject says I need a little help with following nonlinear regression
y(t) = a + b*x(t-1)+c*y_(t-1)+G*(a+b*x_(t-1)) where G=[1 + exp(-s(x_(t-1) - k)]^(-1) (In reality there are more variables) Please could anybody give me a hint how I can estimate this?? Should I use nls()? what parameter settings would I use then? And one more: how would I estimate it if the independant variables werent lagged, would it make a difference? Your help is much appreciated!! Thank you ___________________________________________________________ Schon gehört? WEB.DE hat einen genialen Phishing-Filter in die ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
