This function assumes that sdr has already been used to
find a minimal set of predictors based on the covariates.
The argument B should be either the result of sdr
or the coefficient matrix returned as one of the
results of sdr. The columns of this matrix define linear
combinations of the covariates. This function evaluates those
linear combinations, and returns a list of pixel images containing the
new predictors.