Table 2. The parameters of the linear regression equations obtained during learnig and test results.

Learning set

R2 L

MSEL

Q2

N

MSELOO

R2T

SET

R2T (set 3)

SET (set 3)

SET1

0.73

0.43

0.40

9

0.72

0.04

0.70

0.14

2.56

SET1

0.72

0.43

0.48

6

0.72

0.04

0.70

0.15

2.48

SET2

0.16

0.48

0.03

9

0.74

0.08

0.03

0.03

0.36

SET1+SET2

0.47

0.59

0.26

9

0.72

-

-

0.16

0.33

SET1+SET2

0.44

0.60

0.37

5

0.64

-

-

0.51

0.35

Note. R2 L – R2 of model for learning; MSEL – mean square error of model for learning; Q2 - Q2 of model; N – amount of arguments; MSELOO – mean square error of model for “leave-one-out” method; R2T  – R2 of prediction for SET1 or SET2, respectively; SET – standart error of prediction for SET1 or SET2, respectively; R2T (set 3) – R2 of prediction for SET3 (RBI); SET (set 3) – standart error of prediction for SET3 (RBI).