Hall, PeterMarron, J SNeeman, Amnon2015-12-131369-7412http://hdl.handle.net/1885/81185High dimension, low sample size data are emerging in various areas of science. We find a common structure underlying many such data sets by using a non-standard type of asymptotics: the dimension tends to ∞ while the sample size is fixed. Our analysis sKeywords: Chemometrics; Large dimensional data; Medical images; Microarrays; Multivariate analysis; Non-standard asymptotics200510.1111/j.1467-9868.2005.00510.x2015-12-11