I have climate data for 240 predictors and precipitation flux (as the target variable) for 3000+ days. I want to use Gaussian kernel regression to predict the precipitation flux for the next 2000+ days.
I have gone through some of the available packages in both
R has the
np package which provides the
npreg() to perform kernel regression. However, the documentation for this package does not tell me how I can use the model derived to predict new data.
I would be very grateful if someone can explain to me how to perform prediction using any one of these methods.