Table 2.

Parameter estimates, goodness of fit statistics, and correlations between predictions made by different methods obtained for 4 milk FA when models were fitted to the entire data set, by trait and model¹

Trait2 and model	Variance		R2	DIC	pD/Terms	Correlations between predictions of different models
	Phenotypic	Residual				MPLS	Bayes RR	Bayes A	Bayes B
C10:0	0.40
PLS		0.21	0.48	—	15	0.90	0.89	0.86	0.83
MPLS		0.17	0.58	—	15	—	0.93	0.91	0.91
Bayes RR		0.10	0.76	971	184	—	—	0.98	0.97
Bayes A		0.10	0.75	889	135	—	—	—	0.98
Bayes B		0.10	0.76	729	73	—	—	—	—
C14:1 cis-9	0.10
PLS		0.07	0.33	—	11	0.94	0.95	0.89	0.82
MPLS		0.07	0.35	—	10	—	0.94	0.90	0.85
Bayes RR		0.05	0.50	80.3	109	—	—	0.96	0.90
Bayes A		0.04	0.57	−104	104	—	—	—	0.96
Bayes B	0.04		0.59	−244	71	—	—	—	—
C16:0	13.56
PLS		7.70	0.44	—	14	0.88	0.88	0.87	0.81
MPLS		5.75	0.58	—	14	—	0.94	0.94	0.92
Bayes RR		3.72	0.73	5,275	182	—	—	0.98	0.96
Bayes A		3.90	0.71	5,249	144	—	—	—	0.97
Bayes B		3.68	0.73	5,035	75	—	—	—	—
C18:0	3.56
PLS		2.68	0.27	—	11	0.85	0.82	0.77	0.71
MPLS		2.41	0.35	—	14	—	0.87	0.85	0.81
Bayes RR		1.37	0.62	4,071	171	—	—	0.98	0.93
Bayes A		1.27	0.65	3,945	152	—	—	—	0.96
Bayes B		1.27	0.65	3,750	62	—	—	—	—

¹R² = coefficient of determination calculated as the square of the correlation between observed and predicted values; DIC = deviance information criterion; pD/Terms = effective number of parameters/number of MPLS or PLS terms; PLS = partial least squares regression; MPLS = modified partial least squares regression, Bayes RR = Bayes ridge regression.

²C10:0 = decanoic (capric) acid; C14:1 cis-9 = 9-tetradecenoic (myristoleic) acid; C16:0 = hexadecanoic (palmitic) acid; C18:0 = octadecanoic (stearic) acid; each FA is expressed as a percentage of the total FA by weight.