1. Mangoni, O., R. Lombardo, I. Camminatiello, F. Margiotta, A. Passarelli and M. Saggiomo, 2017. Phytoplankton community to assess the environmental status of the Adriatic Sea via non-linear partial least squares regression. Quality Quantity, 51: 799-812.
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2. Cammnitiello, I., R. Lombardo and J.F. Durand, 2017. Robust partial least squares regression for the evaluation of justice court delay. Quality Quantity, 51: 813-827.
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3. Lombardo, R., E.J. Beh and P.M. Kroonenberg, 2016. Modelling trends in ordered correspondence analysis using orthogonal polynomials. Psychometrika, 81: 325-349.
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4. Lombardo, R. and E.J. Beh, 2016. Variants of correspondence analysis. R J., 8: 167-184.
5. Lombardo, R. and E.J. Beh, 2016. The prediction index of aggregate data. J. Applied Stat., 43: 1998-2018.
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6. Beh, E.J. and R. Lombardo, 2015. Confidence regions and approximate p-values for classical and non symmetric correspondence analysis. Commun. Stat. Theory Methods, 44: 95-114.
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7. Lombardo, R., P. Amenta, M. Vivien and R. Sabatier, 2012. Sensory analysis via multi-block multivariate additive PLS splines. J. Applied Stat., 39: 731-743.
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8. Lombardo, R., J.F. Durand and A.P. Leone, 2012. Multivariate additive PLS spline boosting in agro-chemistry studies. Curr. Anal. Chem., 8: 236-253.
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9. Lombardo, R. and T. Ringrose, 2012. Bootstrap confidence regions in non-symmetrical correspondence analysis. Electron. J. Applied Stat. Anal., 5: 413-417.
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10. Beh, E.J. and R. Lombardo, 2012. A genealogy of correspondence analysis. Aust. New Zealand J. Stat., 54: 137-168.
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11. Lombardo, R., J.F. Durand and A. Faraj, 2011. Iterative design of experiments by non-linear PLS models. A case study: The reservoir simulator data to forecast oil production. J. Classification, 28: 113-125.
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12. Lombardo, R., E.J. Beh and A. D'Ambra, 2011. Studying the dependence between ordinal-nominal categorical variables via orthogonal polynomials. J. Applied Stat., 38: 2119-2132.
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13. Lombardo, R., 2011. Three-way association measure decompositions: The Delta index. J. Stat. Plann. Inference, 141: 1789-1799.
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14. Lombardo, R., 2011. The analysis of sensory and chemical-physical variables via multivariate additive PLS splines. Food Quality Preference, 22: 714-724.
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15. Lombardo, R. and E.D. Valle, 2011. Data mining and exploratory data analysis for the evaluation of job satisfaction. iBusiness J., 3: 372-382.
16. Beh, E.J., R. Lombardo and B. Simonetti, 2011. A European perception of food using two methods of correspondence analysis. Food Quality Preference, 22: 226-231.
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17. Lombardo, R. and J.J. Meulman, 2010. Multiple correspondence analysis via polynomial transformations of ordered categorical variables. J. Classification, 27: 191-210.
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18. Lombardo, R. and I. Camminatiello, 2010. CATANOVA for two-way cross classified categorical data. Statistics: J. Theor. Applied Stat., 44: 57-71.
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19. Lombardo, R. and E.J. Beh, 2010. Simple and multiple correspondence analysis using orthogonal polynomials. J. Applied Stat., 37: 2101-2116.
20. Lombardo, R., J.F. Durand and R. De Veaux, 2009. Model building in multivariate additive partial least squares splines via the GCV criterion. J. Chemometrics, 23: 605-617.
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21. Lombardo, R., E.J. Beh and L. D'Ambra, 2007. Non-symmetric correspondence analysis with ordinal variables using orthogonal polynomials. Comput. Stat. Data Analysis, 52: 566-577.
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22. Lombardo, R. and J.F. Durand, 2005. Discriminant partial least-squares via Splines: An application to evaluate Patient satisfaction. Stat. Applic., 3: 77-85.
23. Lombardo, R., P. Kroonenberg and L. D’Ambra, 2000. Non-symmetric correspondence analysis and biplot representation: Comparing differences in market share distribution. Stat. Methods Applic., 9: 107-126.
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24. D'Ambra, L., R. Lombardo and P. Amenta, 2000. Multivariate co-inertia analysis for qualitative data by partial least squares. Stat. Methods Applic., 9: 23-37.
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25. Kroonenberg, P.M. and R. Lombardo, 1999. Nonsymmetric correspondence analysis: A tool for analysing contingency tables with a dependence structure. Multivariate Behav. Res., 34: 367-396.
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26. Kroonenberg, P.M. and R. Lombardo, 1998. Nonsymmetric correspondence analysis: A tutorial. Kwantitatieve Methoden, 19: 57-83.
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27. Lombardo, R. and L. D'Ambra, 1997. Internal and external decompositions for three-way contingency tables. Metron, 55: 171-184.
28. Lombardo, R., A. Carlier and L. D'Ambra, 1996. Non-symmetric correspondence analysis for three-way contingency tables. Methodologica, 4: 59-80.