Okamoto, Masashi; Endo, Hideki Spherical trait in correspondence analysis of artificial data. (English) Zbl 0858.62047 J. Jpn. Stat. Soc. 25, No. 2, 183-191 (1995). Summary: Besides the well-known linear or circular trait, the spherical trait is introduced in correspondence analysis of artificial data. Five types of regular polyhedrons ar used as the item pattern. The trait always has three dimensions. Furthermore, solid spherical data can be constructed by adding the center and, if necessary, one or more concentric polyhedron. Then the data set also has a linear trait representing the radius, which may compete with the spherical trait, hindering a few of the largest eigenvalues in reproducing the item pattern faithfully. Cited in 1 Document MSC: 62H25 Factor analysis and principal components; correspondence analysis Keywords:Guttman series; circular trait; spherical trait; correspondence analysis of artificial data; regular polyhedrons; solid spherical data; linear trait; largest eigenvalues PDFBibTeX XMLCite \textit{M. Okamoto} and \textit{H. Endo}, J. Jpn. Stat. Soc. 25, No. 2, 183--191 (1995; Zbl 0858.62047) Full Text: DOI