search for: rgression

Hi, I am an old hand at chemistry but a complete beginner at statistics including R computations. My question is whether you can carry out nonlinear multivariate regression analysis in R using neural networks, where the output variable can range from -Inf to + Inf., unlike discriminant analysis where the output is confined to one or zero. The library nnet seems to work only in the latter

...w to write my formula in the model. Someone in previous messages offered the cbind method, but the result is just as many regression as the number of dependent variables, it is just a time saving method; i'm looking for a method closer to a MANOVA, but without factors. well, a standard multiple rgression with multiple dependent variable, i.e. looking for variables that are significant in all the dependent variables. If one of you have an idea, I welcome it. and happy new year to all simon [[alternative HTML version deleted]]

Hello everybody!!!! Quick question, if you'd like to throw a little tip: does anyone knows a function that runs piecewise regression models with coefficients estimation and inferences ? Thank you [[alternative HTML version deleted]]

I typed the following command *install.packages('bayesQR')'* to install bayesQR(my R version is 2.14) i am encountered the following error. Installing package(s) into ?C:/Users/knreddy.IDRBTVM/Documents/R/win-library/2.14? (as ?lib? is unspecified) Warning: unable to access index for repository http://essrc.hyogo-u.ac.jp/cran/bin/windows/contrib/2.14 Warning: unable to access index