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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/1848 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/1848 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/1848 archive 351 disk0/00/00/18/15 2016-01-15 01:50:38 2021-08-27 17:10:37 2016-01-15 01:50:38 monograph show 2 Nijkamp P. AL0290 Rietveld P. AL0336 pub iis_ecn iis_met prog_gen The essential feature of multivariate methods is that they aim at reducing the complexity of phenomena in which many variables or attributes are involved. Given this general feature , it is no surprise to see that these methods have been applied in various fields of research, such as economics, geography, medicine, biology, etc. This paper will be devoted to the development of some methods for ordinally measurable data and its implications for regional statistical and econometric analyses. We will deal with the following methods: multiple regression analysis (and related subjects such as interdependence analysis and discriminant analysis); clustering and classification; principal component analysis (and related subjects such as canonical correlations and partial least squares). 1981-01 published PP-81-002 PP-81-002 2236 2333 public professional_paper IIASA, Laxenburg, Austria 29 FALSE info:eu-repo/semantics/book