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Refferences Anderson, E.B. (1991). The statistical analysis of categorical data . Berlin: Spinger-Verlag.. Beltrami, E. (1873). Sulle Funzioni Bilineari. Giornale di Matematiche ud uso Degli Studenti Delle Universita , 11 , 98‒106. Borg, I., Groenen, P. (1997). Modern multidimensional scaling. Theory and application . New York: Spinger-Verlag. Chambers, J.M. (1977). Computational methods for data analysis . New York: Wiley. Clausen, S.E. (1998). Applied correspondence analysis. An introduction . Thousand Oaks: Sage Publications. Eckart, C., Young, G. (1936


Many of the problems that the world faces today appeared as the result of unstable development. Global climate change, resource depletion, space debris, poverty, inequality, and threats to global security are the main but not the only challenges for modern humanity. The important issue in studying the problems of sustainable development of the countries in the world is the development of strategies that would give an opportunity to avoid environmental and social catastrophes. The correspondence analysis is used to identify the relationship between the Happy Planet Index (which is an aggregate indicator of achievements in the key aspects of human development, such as life duration and quality, distribution uniformity, access to knowledge, and preservation of environment) and Gross National Income (one of the basic metrics of the population welfare level). The analysis led to the conclusion that the income level of the population is not the main factor in assessing the level of sustainable development of acountry. The obtained results can give important and useful information for social institutions and politicians.

References Addinsoft SARL, 2010, XLSTAT software ver.9.0 [Computer software], Addinsoft, Paris. Ahmad U., Parveen S., Mola H.R.A., Kabir H.A.,Ganai, A.H.,2012, Zooplankton population in relation to physico-chemical parameters of Lal Diggi pond in Aligarh, J. Environ. Biol. 33(6): 1015–1019. Akbulut N.E., 2005, The determination of relationship between zooplankton and abiotic factors using canonical correspondence analysis (CCA) in the Ova stream (Ankara/Turkey), Acta Hydrochim. Hydrobiol. 32(6): 434–441. Anton-Pardo M., Armengol X., 2010, Zooplankton community

References Bickel, W. K., Miller, M. L., Yi, R., Kowal, B. P., Lindquist, D. M., & Pitcock, J. A. (2007). Behavioral and neuroeconomics of drug addiction: Competing neural systems and temporal discounting processes. Drug and Alcohol Dependence,90 . doi:10.1016/j.drugalcdep.2006.09.016 DG.COMM.D-4. (n.d.). Retrieved from Greenacre, M. J. (1999). Correspondence analysis in the social sciences: Recent developments and applications . San Diego

References [1] Agresti, A. (1990). Categorical Data Analysis. New York: John Wiley a Sons. [2] Anděl, J. (2005). Základy matematické statistiky. Praha: Matfyzpress. [3] Bingen, J. (2012). Labels of Origin for Food, the New Economy and Opportunities for Rural Development in the US, Agriculture and Human Values, 29(4), 543-552, DOI: 10.1007/s10460-012-9400-z. [4] Blasius, J. & Greenacre, M. J. (1994). Computation of Correspondence Analysis (pp. 53-75). In Greenacre, M. J. & Blasius, J., eds., Correspondence Analysis in the Social Sciences, London: Academic Press

detrimental to high quality research? An empirical analysis of the relationship between scientific careers and patent applications. Paper presented to the 4th workshop on Economic Transformation in Europe, Sophia Antipolis, January 29-30, 2004. Daraio, C., Bonaccorsi, A., Simar, L. (2015). Rankings and university performance: A conditional multidimensional approach. European Journal of Operational Research , 244(3), 918-930. Doey, L., Kurta, J. (2011). Correspondence Analysis applied to psychological research. Tutorials in Quantitative Methods for Psychology, 7(1), 5

. London: Academic Press. Greenacre, M. J. (1993). Correspondence Analysis in practice . London: Bulletin of Sociological Methodology Academic Press. Greenacre, M. J. (2009). Power transformations in correspondence analysis. Computational Statistics and Data Analysis , 53(8), 3107–3116. Hill, M. O. (1974). Correspondence Analysis: A Neglected Multivariate Method. Journal of the Royal Statistical Society. Series C (Applied Statistics) , 23(3), 340–354. Hoffman, D. L., & Franke G. R. (1986). Correspondence Analysis: Graphical Representation of Categorical Data in

. The main analytical tool was multiple correspondence analysis (MCA). The aims of the study were: To reveal the possible new causal relationships among the observed variables and to confirm the causal pathways to foot complications which have already been described before. To evaluate the appropriateness of the classification into risk groups. To evaluate the appropriateness of the post-screening decisions (referral, footwear prescription). 2 Methods 2.1 Patients and Data Collection Between November 1996 and December 2014, 11.594 patients with diabetes mellitus were

:// Garland, R. (2013). With Growth Equity Outperforming Venture Capital, Cambridge Associates Anoints It an Asset Class, The Wall Street Journal, Aug 7. Greenacre, M.J. (2007). Correspondence Analysis in Practi ce. New York: Chapman & Hall. Groh, A., Liechtenstein, H., Lieser, K., Biesinger, M. (2015). The Venture Capital and Private Equity Country Att racti veness Index. IESE Business School, University of Navarra. Retrieved from Higgs, N.T. (1991). Practi cal and Innovati ve uses of Correspondence Analysis. The Stati sti cian, 40 (2), 183

Equity Acti vity 2014. European Private Equity & Venture Capital Associati on. Retrieved from Harding, R. (2000). Venturing Forward: the Role of Venture Capital Policy in Enabling Entrepreneurship. London: Insti tute of Public Policy Research. Higgs, N.T. (1991). Practi cal and Innovati ve uses of Correspondence Analysis. The Stati sti cian, 40(2), 183-94. Hirschfeld, H.O. (1935). A Connecti on between Correlati on and Conti ngency. Proc. Cambridge Philosophical Society, 31, 520-524. Klonowski, D. (2010). The Venture Capital Investment Process. New