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I have a nice surface that represents nonlinear multi-part regression results on a regression with two independent variables. I would like to plot the regression predicted values as a nice 3D surface and then show the actual values as point that bounce around the surface. This would be the 3D version of plotting a regression line and showing the actuals as points around the line. I can't figure out how to do this with lattice. I'm happy to use another graphing library in R, but I don't know of others that do 3D plots. Here's a simplified version of what I want to do: library(lattice) #set up some simplified data x <- seq(-.8, .8, .1) y <- seq(-.8, .8, .1) myGrid <- data.frame(expand.grid(x,y)) colnames(myGrid) <- c("x","y") myGrid$z <- myGrid$x + myGrid$y noise <- rnorm(length(myGrid$z),.3,.2) myGrid$z2 <- myGrid$x + myGrid$y + noise z is my smooth surface and z2 are my noisy points mostly slightly above the surface. So the surface looks like this: wireframe(myGrid$z ~ myGrid$x * myGrid$y, xlab="X", ylab="Y", zlab="Z") and the cloud of points looks like this: cloud(myGrid$z2 ~ myGrid$x * myGrid$y, xlab="X", ylab="Y", zlab="Z") Is it possible to get both of these in one lattice panel?

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