Dear R community, I have tried to use the kernel regression in the "NP" package. I work in a population biology study and the regression function ("npr") dealing with continuous and categorical variables seems to be appropriate for such study with non parametric data. I have 3 questions: First: Is there a way to have for each predictor a value indicating the explanation of each predictor in the model. (not only the R2 for the whole model but for each predictor). Second: What should be the correct tolerance value for the bandwidth. I use 0.01. Third: What is the suitable bootstrap repetition number ("but.num") in the npsigtest function? I use the default value ("499"), with 7 variables(5 continous,2 categorical) and 1600 data point, it takes 23 hours to compute the test and normally for publication purpose 999 bootstraps is the minimal number of repetitions. Is it possible to do the test on a set of suitable observation? Could somebody also give me some references of publications using such analysis in ecological domain? Than you for answers and best regards. Romain Mayor.