Table 1.Spearman Rank Order Correlation coefficient for skull measures and NMDS axes for two polecat species.

Variables	Size diversity model		Shape diversity model		r2
	E1	E2	K1	K2
CbL	0.9	-0.34	0.13	-0.73	0.96
NcL	0.63	-0.48	0.3	-0.49	0.6
VcL	0.85	-0.12	-0.05	-0.69	0.83
PL	0.86	-0.17	0	-0.74	0.91
MxtL	0.88	0.1	-0.32	-0.56	0.93
Pm4L	0.72	0.29	-0.47	-0.42	0.88
BcL	0.62	0.45	-0.56	-0.47	0.93
AbL	0.27	-0.86	0.72	-0.27	0.91
ZyW	0.91	-0.07	-0.11	-0.75	0.91
MW	0.92	-0.08	-0.08	-0.77	0.93
PoW	0.25	-0.93	0.75	-0.14	0.88
IW	0.85	-0.25	0.11	-0.69	0.85
RW	0.92	-0.03	-0.17	-0.66	0.93
GpW	0.87	-0.23	0.01	-0.49	0.91
AbW	0.82	-0.25	0.07	-0.61	0.76
M1W	0.56	-0.63	0.4	-0.24	0.76
CH	0.84	0.01	-0.15	-0.64	0.97
ML	0.96	-0.13	-0.08	-0.78	0.83
AL	0.93	-0.23	0.02	-0.79	0.97
MatL	0.9	-0.06	-0.18	-0.58	0.92
m1L	0.74	-0.06	-0.14	-0.35	0.82
MaH	0.9	-0.18	0.02	-0.8	0.93
MpW	0.65	-0.46	0.24	-0.39	0.71
Analysis of NMDS axes variance
Components of variance, %					Wilks tests
Factor: “species”	7.1	88.4	93.1	0	0.13 (p < 0.01)
Factor: “sex”	67.1	3.5	1.7	62.7	0.26 (p < 0.01)
Joint affect: “species” ×	12.6	5	0.5	13.2	0.76 (p < 0.01)
“sex”
Unexplained variance	13.2	3.1	4.8	24.1

r² – coefficient of multiple regression in the linear multiple regression models for measurements, y=a₁E1+a₂E2+b₁K1+b₂K2+const