Independent Component Analysis (ICA) is a method to transform the original data to a new set of data, by multiplying the original data with a rotation matrix. The assumptions of ICA are the source signals (ic's) are non-Gaussian and statistically independent. In this study, a subset of the Hz11-P03 XRF data are subjected to ICA, and 6 independent components (ic), which are unitless, are extracted. For details of the method and the interpretation of ic's, please see the referred articles to this data.