Looking for residuals in clmm summary output

Hello

I am working with ordinal data using the clmm() mixed models approach
of the R package "ordinal". My interest is in analyzing the random
effects of my model, inclusive the residual term. However, the
summary of my model does not inlude the residuals. Does this mean
that my residuals are "hidden" in one of the random effects, or is
there a way to get the residuals anyway? Below you see my model
summary output.

Thanks for every hint!

Aline

model <-
clmm(trait~1+(1|Block_Nr)+(1|Pop_Nr)+(1|Fam_Nr)+(1|Block_Nr:Pop_Nr),data=dat)

 Data: frost damage on the plants in levels 0-5

Output R:

Cumulative Link Mixed Model fitted with the Laplace approximation

formula: trait ~ 1 + (1 | Block_Nr) + (1 | Pop_Nr) + (1 | Fam_Nr) +
(1 |      Block_Nr:Pop_Nr) data:    dat

link  threshold nobs logLik   AIC     niter     max.grad cond.H logit
flexible  4018 -2015.57 4047.14 660(2644) 2.93e-03 3.6e+01

Random effects: Groups          Name        Variance Std.Dev. 
Block_Nr:Pop_Nr (Intercept) 0.0000   0.0000 Fam_Nr
(Intercept) 0.1085   0.3294 Pop_Nr          (Intercept) 0.2694
0.5191 Block_Nr        (Intercept) 0.1351   0.3675 Number of groups:
Block_Nr:Pop_Nr 1435,  Fam_Nr 258,  Pop_Nr 90,  Block_Nr 16

No Coefficients

Threshold coefficients: Estimate Std. Error z value 0|1   1.9701
0.1221   16.14 1|2   3.7404     0.1488   25.13 2|3   4.5441
0.1791   25.37 3|4   5.3417     0.2322   23.00 (103 observations
deleted due to missingness)