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.
On Thu, Mar 5, 2009 at 7:49 PM, per243 <jose.perezsuarez at csiro.au> wrote:> How can a non-linear regression to calculate the statistical R-square, > R-square adjusted, RMSE, VIF??It is not clear that these statistics are meaningful for a nonlinear regression model. For example, an R^2 value is meaningful when the model being fit contains the constant model because it compares the fit of the current model to the fit of the model y ~ 1. Not all nonlinear regression models contain the constant model as a submodel.
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 message in context: http://www.nabble.com/Statistics-tp22364717p22373183.html Sent from the R help mailing list archive at Nabble.com.