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. 2008 Jun 4;33(7):599–609. doi: 10.1093/chemse/bjn026

Table 3.

Performance levels of the 4 prediction models expressed by their R2 values for each of the tested binary mixtures

Mixture type VA + LIN IVA + LC BA + PEA VA + IVA
R2 (sin model) 0.8848 0.9406 0.9042 0.8711
R2 (squared intensities) 0.8769 0.9463 0.9209 0.8585
R2 (intensity weights) 0.8969 0.9163 0.8395 0.8293
R2 (arithmetic mean) 0.7748 0.6409 0.5146 0.1415

Inline graphic, and Inline graphic. (VA, valeric acid; LIN, linalool; IVA, isovaleric acid; LC, L-carvone; BA, butanoic acid; PEA, phenylethyl alcohol). First row is the sin model (eqs 1 and 2). Second row is the squared weighted intensities model (eqs 1 and 5) followed by the integrated model for odor quality (Olsson 1994). Third row is the weighted intensities model (eqs 1 and 4), and fourth row is a simple arithmetic mean (eqs 1 and 3).