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References
AMENTA, P. (1993): Il coefficiente di correlazione lineare tra matrici di dati nel contesto multivariato. XVII Convegno A.M.A.S.E.S., Ischia.
BABAKUS, E. and MANGOLD, G. (1992): Adapting the servqual scale to hospital services: an empirical investigation. Health Services Research, 26,6, 767–786.
CHOULAKIAN, H.A., D’AMBRA, L. and SIMONETTI, B. (2005): Hausman principal component Analysis. In: 29th Annual International Conference of the German Classification Society (GfKl 2005), Magdeburg (Germany).
HAUSMAN, R.E. (1982): Constrained multivariate analysis, in: S.H Zanckis. and J.S. Rustagi, (Eds.): Optimisation in Statistics. North Holland. Amsterdam.
JOLLIFFE, I.T. (2002): Principal Component Analysis, New York, Springer
JOLLIFFE, I.T. and UDDIN, M. (2003): A modified principal component technique based on the Lasso. Journal of Computation and Graphical Statistics, 12, 531–547.
RAMSAY, J., TEN BERGE, J. and STYAN, G. (1984): Matrix correlation. Psychometrika, 49, 403–423.
RENYI, A. (1959): On measures of dependence. Technical Report 10, Acta Mathematica of the Academy of Science of Hungary.
ROBERT, P. and ESCOUFIER, Y. (1976): A unifying tool for linear multivariate statistical methods: the rv-coefficient. Applied Statistics, 25, 257–265.
ROUSSON, V. and GASSER, T. (2004), Simple Component Analysis. Applied Statistics, 53, pp. 539–555
VINES, S.K. (2000): Simple principal components. Applied Statistics, 49, 441–451.
WRIGHT, B.D. and MASTERS, G.N. (1982): Rating scale analysis. Rasch Measurement, MESA.
ZOUS, H., HASTIE, T. and TIBSHIRANI, R. (2004): Sparse principal component analysis. Manuscript on http://www-stat.stanford.edu/~hastie./piib.htm.
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Gallo, M., Amenta, P., D’Ambra, L. (2006). Simple Component Analysis Based on RV Coefficient. In: Zani, S., Cerioli, A., Riani, M., Vichi, M. (eds) Data Analysis, Classification and the Forward Search. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-35978-8_11
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