Statistical models
The statistical models applied for analyzing the results of this study were:1. General linear repeated measures model to study energy, macronutrient and micronutrient intake throughout the study, considering that the order of intake of the test and control oils did not matter since it would not affect the overall dietary pattern of the volunteers. In each group (normocholesterolemic and hypercholesterolemic), baseline, initial (pre-treatment) and final (post-treatment) results with OPO and HOSO were compared. Results are shown as mean ± standard deviation (SD).2. A linear mixed model was applied to the relative changes from initial [(final value–initial value)/initial value] of each variable. This statistical model allows the data to present a correlated and non-constant variability to take into account the order of intake of the oils. The statistical model was full factorial, considering group (normocholesterolemic hypercholesterolemic), treatment oil (OPO and HOSO) and interaction group*treatment, order of intake was a random effect. Results are shown as relative changes from initial value ± standard deviation (SD) and are expressed as a percentage.The initial (pre-treatment) mean values were included in the tables as a reference value for relative change from the initial. All measurements (except dietary control) were performed at least in duplicate unless otherwise stated. Before statistical analysis, data normality of distribution was verified by the Kolmogorov–Smirnov test and a box-plot analysis was performed for all variables. In addition, the Bonferroni test (within each group) was performed to compare pairwise the effect of the intake of each oil (OPO and HOSO). The significance level was set at 