difference in coeeficient variance calculated from the ANOVA table and from the imat covariance matrix

Hello!
I used the function spdep.spautolm to calculate spatial regression:

*text="arsin_species_num_proportion  ~
I(POINT_X/100000)+I((POINT_X/100000)^2)+I(mean_400m/1000)+I((mean_400m/1000)^2)+I(summer_temperature)+I(sqr_temperature)+I(year_precipitation/1000)+I((year_precipitation/1000)^2)
+I(RANGE_400m/1000)+I((RANGE_400m/1000)^2)+LandCoverNum_400m+sqr_LandCoverNum_400m"*

*model400mSar <-spautolm(formula = as.formula(text), data = pointsDF,
listw = weightsb,  family = "SAR", method = "eigen", verbose = TRUE,
zero.policy = TRUE)*
*Then I wanted to retrieve the coefficient covariance matrix.*

So I did it using the imat object:
*model400mSar$fit$imat*

and I compared the variance of each coefficient according to the imat
object,
with the variance calculated from the ANOVA table extracted by:

*summary(model400mSar)$Coef*

and by square root the std. error of each coefficient

and the results were different.

I also tried the fdHess covarianve matrix but it also gave different
results.

*model400mSar$fdHess*

My question is:
How can I retrieve the covariance matrix of the coeeficients that is
presented in the ANOVA table?

Please see attached word documents with the fdHess matrix, the imat matrix
and the ANOVA table.


Many thanks,
Rachel