初学Eviews，误差修正模型的回归结果看不懂，求大神帮忙分析一下，下面的实证结果！

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Error Correction:	D(LOG(HPSA))	D(LOG(M2SA))	D(LOG(RSA))
CointEq1	-0.644449	0.308069	0.208190
	(0.16107)	(0.14310)	(0.12672)
	[-4.00105]	[ 2.15281]	[ 1.64296]
D(LOG(HPSA(-1)))	-0.161391	-0.219779	-0.104613
	(0.12580)	(0.11177)	(0.09897)
	[-1.28292]	[-1.96644]	[-1.05704]
D(LOG(HPSA(-2)))	-0.316471	-0.131778	0.010207
	(0.09356)	(0.08313)	(0.07361)
	[-3.38239]	[-1.58528]	[ 0.13867]
D(LOG(M2SA(-1)))	-0.116378	-0.541049	0.106900
	(0.11355)	(0.10088)	(0.08933)
	[-1.02491]	[-5.36321]	[ 1.19667]
D(LOG(M2SA(-2)))	-0.046725	-0.260102	0.060590
	(0.10465)	(0.09298)	(0.08233)
	[-0.44648]	[-2.79752]	[ 0.73593]
D(LOG(RSA(-1)))	0.241732	-0.070034	0.178180
	(0.12257)	(0.10890)	(0.09643)
	[ 1.97214]	[-0.64311]	[ 1.84775]
D(LOG(RSA(-2)))	-0.131875	-0.128410	0.185809
	(0.12301)	(0.10929)	(0.09678)
	[-1.07203]	[-1.17495]	[ 1.91998]
C	0.010746	0.024603	-0.003850
	(0.00694)	(0.00617)	(0.00546)
	[ 1.54857]	[ 3.99047]	[-0.70525]
R-squared	0.506678	0.342147	0.173819
Adj. R-squared	0.474404	0.299110	0.119770
Sum sq. resids	0.520886	0.411148	0.322388
S.E. equation	0.069772	0.061988	0.054891
F-statistic	15.69953	7.950061	3.215937
Log likelihood	147.1585	160.7617	174.7457
Akaike AIC	-2.420148	-2.656726	-2.899926
Schwarz SC	-2.229196	-2.465774	-2.708974
Mean dependent	0.005273	0.012876	-0.003526
S.D. dependent	0.096240	0.074043	0.058506
Determinant resid covariance (dof adj.)		5.47E-08
Determinant resid covariance		4.40E-08
Log likelihood		484.4364
Akaike information criterion		-7.955415
Schwarz criterion		-7.310953

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关键词：EVIEWS 误差修正模型 Eview Views 误差修正 Error 模型

第一列存在较为显著的误差修正机制，另外两列没有！~

误差修正模型的解释能力怎么看的啊？求指导