In studies using microarray data, measured gene expression levels are associated both with factors we are interested in (e.g. treatment/control) and also with irrelevant factors (e.g. sources of systematic technical error). We would like to adjust for the unwanted variation. Several authors have proposed variants of factor analysis to identify the irrelevant factors. The main problem with this...