| n | the number of observations |
| fitted | surface evaluated at the observed values of the predictors. |
| residuals | response minus fitted values. |
| enp | the equivalent number of parameters used in the model. |
| s | the residual standard error for the model. |
| one.delta | a numeric value used in prediction. |
| two.delta | a numeric value used in prediction. |
| trace.hat | an approximation of the trace of the hat matrix. |
| divisor | a vector of values used to normalize the predictors. |
| robust | the vector of robust weights |
| pars | a list of the parameters used in the fitting. |
| kd | a list containing information about the kd tree used in the fitting. Used for predictions. |
| call | an image of the call that produced the object, but with the arguments all named and with the actual formula included as the formula argument. |
| terms | an object of mode expression and class term summarizing the formula. Used by various methods, but typically not of direct relevance to users. |
| xnames | the names of the predictors. |
| x | the matrix of predictors. |
| y | the response variable. |
| weights | the weights used in the fit. |
| model | the model frame for the model. This is only included if model = TRUE was set in the call. |