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. 2011 Apr 7;12(4):2448–2462. doi: 10.3390/ijms12042448

Table 4.

Statistical results of MLR models for RI based on six stationary phases with topological indices.

Stationary Phase	Regression Equation	Statistics
Stationary Phase	Regression Equation	R	s	F	R_cv	s_cv	n
SE-30	RI = 714.1971 – 53.1823SX_1CH	0.9963	11.2	942.1	0.9943	12.8	25
SE-30	–231.145MPEI + 34.62949OEI	0.9963	11.2	942.1	0.9943	12.8	25
OV-3	RI =756.8884 – 52.1502 SX_1CH	0.9963	11.2	936.4	0.9942	12.8	25
OV-3	–236.867MPEI + 35.3456OEI	0.9963	11.2	936.4	0.9942	12.8	25
OV-7	RI = 798.1506 – 47.8311SX_1CH	0.9953	12.3	638.7	0.9922	14.3	22
OV-7	–238.579MPEI + 37.97237OEI	0.9953	12.3	638.7	0.9922	14.3	22
OV-11	RI = 858.8273 – 43.7851SX_1CH	0.9938	13.8	453.1	0.9891	16.4	21
OV-11	–249.092MPEI + 41.39177OEI	0.9938	13.8	453.1	0.9891	16.4	21
OV-17	RI = 941.0954 – 35.5304SX_1CH	0.9940	13.6	547.6	0.9899	16.1	24
OV-17	–263.948MPEI + 47.63748OEI	0.9940	13.6	547.6	0.9899	16.1	24
OV-25	RI = 1053.736 – 37.8516 SX_1CH	0.9922	15.6	402.5	0.9871	18.3	23
OV-25	–292.817MPEI + 45.8317OEI	0.9922	15.6	402.5	0.9871	18.3	23