Table 2.

Component matrix for two different spring types. Data set for principal component analysis was reduced to the key parameters that were available for both springs (n = 19 - 21).

LKAS 2a				DKAS 1a
parameter	1	2	3	parameter	1	2	3
HP	0.92	−0.32	−0.01	SO4	0.97	0.14	0.06
DOC	0.87	0.07	0.37	Q	−0.96	−0.13	−0.10
Q	0.83	−0.51	−0.11	EC	0.90	−0.12	0.16
PN	0.77	−0.29	0.37	PN	−0.18	−0.91	0.10
EC	−0.17	0.98	−0.05	BDOC	−0.07	0.88	0.21
SO4	−0.27	0.90	−0.27	DOC	0.12	−0.14	0.90
BDOC	0.15	−0.17	0.97	HP	0.12	0.29	0.85
% of variance	60.8	18.0	14.7		42.8	24.4	20.0
Cumulative		93.5 %				87.2 %

Correlations >0.5 are printed bold. Extraction method: Principal component analysis. Abbreviations as given in Tab. 1.

^a3 components extracted