References

• Abbott, J. A. (1999). Quality measurement of fruits and vegetables. Postharvest Biology and Technology, 15(3), 207–225. doi:10.1016/S0925-5214(98)00086-6
   Web of Science ®Google Scholar
• Abdi, H., & Williams, L. J. (2010). Principal component analysis. Wiley Interdisciplinary Reviews: Computational Statistics, 2(4), 433–459. doi:10.1002/wics.v2:4
   Google Scholar
• Alimi, B. A., Melesse, S. F., & Workneh, T. S. (2016). Multifactorial analysis of the effects of pre and postharvest treatments on the quality of stored tomato. CyTA-Journal of Food, 14(2), 206–212. doi:10.1080/19476337.2015.1082151
   Web of Science ®Google Scholar
• Alimi, B. A., Shittu, T. A., & Sanni, L. O. (2014). Effect of hydrocolloids and egg content on sensory quality of coated fried yam chips. Journal of Culinary Science & Technology, 12(2), 168–180. doi:10.1080/15428052.2014.880097
   Google Scholar
• Alonso-Gutierrez, J., Kim, E. M., Batth, T. S., Cho, N., Hu, Q., Chan, L. J. G., … Lee, T. S. (2015). Principal component analysis of proteomics (PCAP) as a tool to direct metabolic engineering. Metabolic Engineering, 28, 123–133. doi:10.1016/j.ymben.2014.11.011
   PubMed Web of Science ®Google Scholar
• Ambler, G., & Royston, P. (2001). Fractional polynomial model selection procedures: Investigation of Type I error rate. Journal of Statistical Computation and Simulation, 69(1), 89–108. doi:10.1080/00949650108812083
   Web of Science ®Google Scholar
• AOAC. (1995). Official Methods of Analysis: Association of Official Analytical Chemists. In Standard compendium of laboratory methods for analyzing foods and related substances; AOAC, Gaithersburg, MD. Virginia, USA: Author.
   Google Scholar
• Batu, A. (2004). Determination of acceptable firmness and colour values of tomatoes. Journal of Food Engineering, 61(3), 471–475. doi:10.1016/S0260-8774(03)00141-9
   Web of Science ®Google Scholar
• Binder, H., Sauerbrei, W., & Royston, P. (2013). Comparison between splines and fractional polynomials for multivariable model building with continuous covariates: A simulation study with continuous response. Statistics in Medicine, 32(13), 2262–2277. doi:10.1002/sim.v32.13
   PubMed Web of Science ®Google Scholar
• David, C. C., & Jacobs, D. J. (2014). Principal component analysis: A method for determining the essential dynamics of proteins. In R. L. Dennis (Ed.), Protein dynamics: Methods and protocols (pp. 193–226). Totowa, NJ: Humana Press.
   Google Scholar
• Egbewale, B. E., Lewis, M., & Sim, J. (2014). Bias, precision and statistical power of analysis of covariance in the analysis of randomized trials with baseline imbalance: A simulation study. BMC Medical Research Methodology, 14(1), 49. doi:10.1186/1471-2288-14-49
   PubMedGoogle Scholar
• García-García, I., Taboada-Rodríguez, A., López-Gomez, A., & Marín-Iniesta, F. (2013). Active packaging of cardboard to extend the shelf life of tomatoes. Food and Bioprocess Technology, 6(3), 754–761. doi:10.1007/s11947-011-0759-4
   Web of Science ®Google Scholar
• Gharezi, M., Joshi, N., & Sadeghian, E. (2012). Effect of post harvest treatment on stored cherry tomatoes. Journal Nutritional Food Sciences, 2(8). doi:10.4172/2155-9600.1000157
   Google Scholar
• Harrell, F. E. (2015). Regression modeling strategies: With applications to linear models, logistic and ordinal regression, and survival analysis. Switzerland: Springer publishing international,.
   Google Scholar
• Huitema, B. (2011). The analysis of covariance and alternatives: Statistical methods for experiments, quasi-experiments, and single-case studies (Vol. 608). Hoboken, NJ: John Wiley & Sons.
   Google Scholar
• Iezzoni, A. F., & Pritts, M. P. (1991). Applications of principal component analysis to horticultural research. HortScience, 26(4), 334–338.
   Web of Science ®Google Scholar
• Itoh, K. (2003). Combined effects of hot water treatment (HWT) and modified atmosphere packaging (MAP) on quality of tomatoes. Packaging Technology and Science, 16(4), 171–178. doi:10.1002/pts.626
   Web of Science ®Google Scholar
• Jolliffe, I. T., & Cadima, J. (2016). Principal component analysis: A review and recent developments. Philosophical Transactions of the Royal Society A, 374(2065), 20150202. doi:10.1098/rsta.2015.0202
   Google Scholar
• Kader, A. A. (1986). Effects of postharvest handling procedures on tomato quality. Paper presented at the Acta Hortic., Belgium, Leuven, 190: 209–222.
   Google Scholar
• Khairi, A. N., Falah, M. A. F., Suyantohadi, A., Takahashi, N., & Nishina, H. (2015). Effect of storage temperatures on color of tomato fruit (Solanum Lycopersicum Mill.) Cultivated under moderate water stress treatment. Agriculture and Agricultural Science Procedia, 3, 178–183. doi:10.1016/j.aaspro.2015.01.035
   Google Scholar
• Long, J., & Ryoo, J. (2010). Using fractional polynomials to model non‐linear trends in longitudinal data. British Journal of Mathematical and Statistical Psychology, 63(1), 177–203. doi:10.1348/000711009X431509
   PubMed Web of Science ®Google Scholar
• López, C. A. F., & Gómez, P. A. (2004). Comparison of color indexes for tomato ripening. Horticultura Brasileira, 22(3), 534–537. doi:10.1590/S0102-05362004000300006
   Google Scholar
• Martens, H., & Martens, M. (2001). Multivariate analysis of quality an introduction. Chichester, UK: John Wiley & Sons.
   Google Scholar
• Melesse, S. F., & Zewotir, T. (2017). Variation in growth potential between hybrid clones of Eucalyptus trees in eastern South Africa. Journal of Forestry Research, 28(6), 1157–1167.
   Web of Science ®Google Scholar
• Moneruzzaman, K. M., Hossain, A. B. M. S., Sani, W., & Saifuddin, M. (2008). Effect of stages of maturity and ripening conditions on the biochemical characteristics of tomato. American Journal of Biochemistry and Biotechnology, 4(4), 329–335. doi:10.3844/ajbbsp.2008.329.335
   Google Scholar
• Oliveira, G. H. H., Corrêa, P. C., Botelho, F. M., & Oliveira, A. P. L. R. (2015). Mechanical properties of tomatoes subjected to an induced compression during storage. Journal of Texture Studies, 46(4), 293–301. doi:10.1111/jtxs.12129
   Web of Science ®Google Scholar
• Pinheiro, J., Alegria, C., Abreu, M., Gonçalves, E. M., & Silva, C. L. M. (2013). Kinetics of changes in the physical quality parameters of fresh tomato fruits (Solanum lycopersicum, cv. ‘Zinac’) during storage. Journal of Food Engineering, 114(3), 338–345. doi:10.1016/j.jfoodeng.2012.08.024
   Web of Science ®Google Scholar
• Pinheiro, J. C., Alegria, C. S. M., Abreu, M. M. M. N., Gonçalves, E. M., & Silva, C. L. M. (2016). Evaluation of alternative preservation treatments (Water heat treatment, ultrasounds, thermosonication and UV-C radiation) to improve safety and quality of whole tomato. Food and Bioprocess Technology, 9(6), 924–935. doi:10.1007/s11947-016-1679-0
   Web of Science ®Google Scholar
• Rencher, A. C. (2003). Methods of multivariate analysis (2nd ed.). USA: John Wiley & Sons.
   Google Scholar
• Richardson, J. T. E. (2011). Eta squared and partial eta squared as measures of effect size in educational research. Educational Research Review, 6(2), 135–147. doi:10.1016/j.edurev.2010.12.001
   Web of Science ®Google Scholar
• Royston, P., & Altman, D. G. (1994). Regression using fractional polynomials of continuous covariates: Parsimonious parametric modelling. Applied Statistics, 43, 429–467. doi:10.2307/2986270
   Web of Science ®Google Scholar
• Royston, P., Ambler, G., & Sauerbrei, W. (1999). The use of fractional polynomials to model continuous risk variables in epidemiology. International Journal of Epidemiology, 28(5), 964–974. doi:10.1093/ije/28.5.964
   PubMed Web of Science ®Google Scholar
• Royston, P., & Sauerbrei, W. (2003). Stability of multivariable fractional polynomial models with selection of variables and transformations: A bootstrap investigation. Statistics in Medicine, 22(4), 639–659. doi:10.1002/(ISSN)1097-0258
   PubMed Web of Science ®Google Scholar
• Schouten, R. E., Farneti, B., Tijskens, L. M. M., Alarcón, A. A., & Woltering, E. J. (2014). Quantifying lycopene synthesis and chlorophyll breakdown in tomato fruit using remittance VIS spectroscopy. Postharvest Biology and Technology, 96, 53–63. doi:10.1016/j.postharvbio.2014.05.007
   Web of Science ®Google Scholar
• Schouten, R. E., Huijben, T. P. M., Tijskens, L. M. M., & van Kooten, O. (2007). Modelling quality attributes of truss tomatoes: Linking colour and firmness maturity. Postharvest Biology and Technology, 45(3), 298–306. doi:10.1016/j.postharvbio.2007.03.011
   Web of Science ®Google Scholar
• Shittu, T. A., Sanni, L. O., Awonorin, S. O., Maziya-Dixon, B., & Dixon, A. (2007). Use of multivariate techniques in studying the flour making properties of some CMD resistant cassava clones. Food Chemistry, 101(4), 1606–1615. doi:10.1016/j.foodchem.2006.04.017
   Web of Science ®Google Scholar
• Shlens, J. (2014). A tutorial on principal component analysis. Cornel University Library. Retrieved on April 2017
   Google Scholar
• Sobratee, N., & Workneh, T. S. (2015). Evaluation of chemical, biochemical and microbiological quality in tomato using multivariate analysis. International Journal of Food Engineering, 11(2), 173–184.
   Web of Science ®Google Scholar
• Var, I. (1998). Multivariate data analysis. Vectors, 8(2), 125–136.
   Google Scholar
• Workneh, T. S., Osthoff, G., Pretorius, J., & Hugo, C. (2003). Comparison of anolyte and chlorinated water as a disinfecting dipping treatment for stored carrots. Journal of Food Quality, 26(6), 463–474. doi:10.1111/jfq.2003.26.issue-6
   Web of Science ®Google Scholar
• Workneh, T. S., Osthoff, G., & Steyn, M. (2012). Effects of preharvest treatment, disinfections, packaging and storage environment on quality of tomato. Journal of Food Science and Technology, 49(6), 685–694. doi:10.1007/s13197-011-0391-3
   PubMed Web of Science ®Google Scholar
• Workneh, T. S., Osthoff, G., & Steyn, M. S. (2011). Influence of preharvest and postharvest treatments on stored tomato quality. African Journal of Agricultural Research, 6(12), 2725–2736.
   Web of Science ®Google Scholar