[R] composition of layouts

I have 3 layouts differents each others and I need make a layout with these 3 layouts, someone can me help??? -- View this message in context: http://www.nabble.com/composition-of-layouts-tp23057309p23057309.html Sent from the R help mailing list archive at Nabble.com. _

[R] cross-validation

I have reviewed all the scripts that appear http://cran.es.r-project.org/ and I cann´t find any suitable for cross-validation with a model of the form y = aX^(b). exp(cZ). Please can someone help me? Thanks, a lot of!! -- View this message in context: http://www.nabble.com/cross-validation-tp226

[R] BOOTSTRAP_CROSS VALIDATION

I need a script that works for Bootstrap validation. Could someone explain me when should I use the Bootstrap technical or Jackknife? Thanks -- View this message in context: http://www.nabble.com/BOOTSTRAP_CROSS-VALIDATION-tp22529500p22529500.html Sent from the R help mailing list archive at

Re: [R] Statistics

that statistic would be appropriate for non-linear regression?. know how I can calculate the VIF for a linear model?. per243 wrote: > > How can a non-linear regression to calculate the statistical R-square, > R-square adjusted, RMSE, VIF?? > Thanks > jose > -- View this

[R] Variance inflation factors (VIF)

I have the following script, how can I implement to achieve that calculate the VIF. Thanks. U1.7km<-c(15:24) R<-c(1.2,0.2,3.6,2.5,4.8,6.3,2.3,4.1,7.2,6.1) Hm<-c(1:10) mod<-nls(R~a*(U1.7km^b)*(Hm^c), start=list(a=2.031, b=0.800, c=-0.255), trace=T) summary(mod) coef(mod) coef(summary(mod)) -- V

[R] Statistics

How can a non-linear regression to calculate the statistical R-square, R-square adjusted, RMSE, VIF?? Thanks jose -- View this message in context: http://www.nabble.com/Statistics-tp22364717p22364717.html Sent from the R help mailing list archive at Nabble.com.