## 4 Test Results
### Discriminative Function Analysis
The RC40/60 VA and RAP60/VA40 cases could also be included. This demonstrates that mixtures in this group were predominantly viscous due to higher amount of bitumen binder, which is in contrast to the mixtures in Group 1. Considering the effect of a given variable's influence on a given discriminatory function (Table 6), the second canonical variable (V_2) is a major mixture discriminant factor due to its viscoelastic nature. The mixtures that had high V_2 value were characterized by high dynamic stiffness modulus (E) with dominant elastic portion (E'), while those with the lowest V_2 had the lowest dynamic modulus (E). The mixtures with high values of the first canonical variable (V_1) exhibited high density, low ITS, and low but acceptable TSR. More information can be derived from the results in Table 7. The key issue in each task is to determine the area in which cases of recycled mixtures with best properties are located. Analysis of data in Tables 3 and 7 should include minimization of the first variable (V_1) and maximization of the second canonical variable (V_2). Figure 7 has this area marked as recommended. All the areas were determined through canonical function plots. An inverse optimization provides examples of recycled mixtures with lower durability relative to the parameters used in the experiment. On the basis of the multidimensional analysis, accounting for the classification functions and factor variables, four areas were defined in the plane determined by the canonical variables. The first recommended  
Figure 7: Canonical value scatter plot. area (Figure 7) represents the samples of mixtures with 5-12% dust contents (basalt or dolomite) and 3.6% of foamed bitumen. High similarity to this group was demonstrated by samples designated as 40 RC/60 VA, which were classified in this group. The second area represents the samples of mixtures with high moisture resistance, moderate stiffness and viscous character at 40 \({}^{\circ}\)C due to increased free bitumen content. This area is designated as acceptable. The results of the third area, designated as questionable, should be considered with caution. This area represents the samples of mixtures with very high stiffness, minimum moisture resistance and moderate ITS. However, the most disturbing fact is that due to the elastic-brittle nature, the mixtures in this area may be sensitive to reflective cracking. The fourth group is the case of recycled mixtures with the lowest stiffness and low phase angle, causing reflected cracking at lower stress than in the \"questionable\" area (third area). In addition, the low ITS level and minimal frost resistance make them less useful. In this area, recycled mixtures with a high content of recycled dolomite aggregate, above 20%, with RAP content of less than 40% and a small amount of RC are predominant. This confirms the hypothesis that the use of recycled aggregate must be preceded by a careful analysis of the quality of such material prior to its application in deep recycling technology. Figure 7 shows the initial projection of MCE requirements in Poland [13; 14] with respect to the V_1 and V_2 coordinates included in Figures 4-6. It should be noted that after determining the results of classification functions, the obtained MCE solution space is in the center of diagram in Figure 7. A portion of the MCE results is in the solution space marked as questionable. Nevertheless, on the basis of Figure 7, the use of MCAS mixes with waste materials allows attaining far better results than those that are compared to the classical MCE mix. The results of the iterative process required to project the requirements for MCE are shown in Table 9.  
The limiting point of MCE results projection with respect to the space determined by the mixtures with waste materials were defined by maximizing each discriminant function. The value of each point within the polygon in Figure 7 was decoded with respect to the real parameters for the recycled mixtures (Table 9).