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...n,row.names=NULL) attach(trdata) xtr <- subset(trdata, select = -Class) ytr <- Class bestpara <-tune.knn(xtr,ytr, k = 1:25, tunecontrol = tune.control(sampling = "cross")) and here i got the mentioned error. can anybody help me in this regard... Thanks & Regards, Uttam Phulwale Tata Consultancy Services Limited Mailto: uttam.phulwale@tcs.com Website: http://www.tcs.com [[alternative HTML version deleted]]

Hi, Is there any 64-bit compatible version of 'R' available? Thanks & Regards, Uttam Phulwale Tata Consultancy Services Limited Mailto: uttam.phulwale@tcs.com Website: http://www.tcs.com [[alternative HTML version deleted]]

Hi, Good Day Everybody..... Can anybody help me.... I am working with R ...and i am using nnet() function for regression, but after trained model, i m getting all predictions as 0.999999 or 1.0000, why is so, i dont understand? can anybody suggest something...??? Thanks & Regards, Uttam Phulwale Tata Consultancy Services Limited Mailto: uttam.phulwale@tcs.com Website: http://www.tcs.com Notice: The information contained in this e-mail message and/or attachments to it may contain confidential or privileged information. If you are not the intended recipient, any dissemination, use, review...

...ly= binomial(link = "logit"),data=trdata,maxit=50) tstdata<-data.frame(test,row.names=NULL) attach(tstdata) xtst <- subset(tstdata, select = -Class) ytst <- Class pred<-predict(glmmod,xtst) library(mda) confusion(pred,ytst) can you help me to sort out the problems? Uttam Phulwale Tata Consultancy Services Limited Mailto: uttam.phulwale@tcs.com Website: http://www.tcs.com [[alternative HTML version deleted]]