Table 1.

Analysis of variance for a fitted regression equation of the PCRCP yields.

Variables	Sum of squares	DF	Mean square	F value	$p$-value
Model	10.99	20	0.55	25.39	<0.0001
A	0.042	1	0.042	1.94	0.1758
B	0.22	1	0.22	10.10	0.0039
C	0.073	1	0.073	3.37	0.0784
D	0.047	1	0.047	2.19	0.1518
E	0.027	1	0.027	1.26	0.2727
AB	0.47	1	0.47	21.68	<0.0001
AC	0.20	1	0.20	9.36	0.0052
AD	0.36	1	0.36	16.63	0.0004
AE	0.30	1	0.30	13.72	0.0011
BC	0.22	1	0.22	10.21	0.0038
BD	0.61	1	0.61	28.11	<0.0001
BE	0.048	1	0.048	2.24	0.1474
CD	0.081	1	0.081	3.75	0.0641
CE	0.076	1	0.076	3.49	0.0734
DE	0.18	1	0.18	8.15	0.0085
A2	3.16	1	3.16	146.15	<0.0001
B2	2.72	1	2.72	125.5	<0.0001
C2	5.85	1	5.85	270.27	<0.0001
D2	1.87	1	1.87	86.40	<0.0001
E2	1.77	1	1.77	91.79	<0.0001
Residual	0.54	25	0.022
Lack of fit	0.51	20	0.026	4.52	0.0508
Pure error	0.028	5	0.0057
Cor total	11.53	45

R² = 0.9531; R²_adj = 0.9155; R²_pred = 0.8186; Adeq precision = 16.720; Coefficient of the variation C.V.% = 2.49.