Statistical Analysis
In this study, the years were analyzed by taking the years again according to the randomized plots. Significance of the differences among the means of olive oils was determined by ANOVA using the Fisher’s least significant difference test at p<.0001 significance level. Among the chemometric methods in the classification of olive oils; Principal Component Analysis (PCA) and Hierarchical Classification Analysis (HCA) were applied and the obtained data were evaluated with Minitab statistical data analysis program. For the relationship between climate data and delta-7-stigmastenol values, multiple linear regression analysis was applied. All parameters were analyzed duplicate for each sample.