search for: qss1

Hi, I have used package quantreg to estimate a non-linear fit to the lowest part of my data points. It works great, by the way. But I'd like to extract the predicted values. The help for predict.qss1 indicates this: predict.qss1(object, newdata, ...) and states that newdata is a data frame describing the observations at which prediction is to be made. I used the same technique I used to extract predicted values of GAM fits with mgcv package: if I fit a GAM using x as the x variable on w...

...d) this is fine when invoked as is; x and y are found in d, and lam is found the .GlobalEnv, or at least this is how I understand it. Now, I'd like to have a function say, h <- function(lam) AIC(rqss(y ~ qss(x, lambda = lam), data = d)) but now, if I do: rm(lam) h(1) Error in qss1(x, constraint = constraint, lambda = lambda, dummies = dummies, : object "lam" not found worse, if there is a "lam" in the .GlobalEnv it is used instead of the argument specified to h(). If I remove the data=d argument in the function definition then lam is passed co...