Hi, I used loess( ) to build a model that has 5 predictors using R of Wndows version. And it tells me that there is an unknown error. If I decrease the number of predictors, then there will be no error. My questions are: 1. Can loess( ) handle more than 4 predictors. 2. If it can not, is there any other smoothing regression technique that can handle more predictors. Any comment will be very helpful to me. Thank you in advance! Edwin -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
loess question
2 messages · Edwin Guo, Brian Ripley
On Sat, 14 Apr 2001, Edwin Guo wrote:
Hi, I used loess( ) to build a model that has 5 predictors using R of Wndows version. And it tells me that there is an unknown error. If I decrease the number of predictors, then there will be no error. My questions are: 1. Can loess( ) handle more than 4 predictors. 2. If it can not, is there any other smoothing regression technique that can handle more predictors. Any comment will be very helpful to me. Thank you in advance!
Well, possibly you are short of points: you need *many* points in 4D to do non-parametric smoothing (say billions). You will need send us an example and the exact output to help you, though!
Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272860 (secr) Oxford OX1 3TG, UK Fax: +44 1865 272595 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._