  The problem of individualized prediction can be addressed using variants of
conformal prediction, obtaining the intervals to which the actual values of the
variables of interest belong. Here we present a method based on detecting the
observations that may be relevant for a given question and then using simulated
controls to yield the intervals for the predicted values. This method is shown
to be adaptive and able to detect the presence of latent relevant variables.
