Driscoll and Kraay standard errors in FE regression: reproducing Stata xtscc output in R

I am trying to replicate the results provided by the Stata command xtscc in R with package plm but I am having some trouble to see the same standard errors I am using a dataset from the package plm also in Stata for replication purposes.

# code to obtain dataset
library(lmtest)
library(car)
library(tidyverse)
data("Produc", package="plm")
write.dta(Produc,"test.dta")

My aim is to run a two way-fixed effect panel model estimation with Driscoll and Kraay standard errors. The routine in Stata is the following

use "test.dta", clear \\ to import data
** i declare the panel 
xtset state year
* create the dummies for the time fixed effects
quietly tab year, gen(yeardum)
* run a two way fixed effect regression model with Driscoll and Kraay standard errors
xi: xtscc gsp pcap emp unemp yeardum*,fe 
* results are the following
                    Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
        pcap |  -.1769881    .265713    -0.67   0.515    -.7402745    .3862983
         emp |   40.61522   2.238392    18.14   0.000     35.87004     45.3604
       unemp |   23.59849   85.10647     0.28   0.785    -156.8192    204.0161

In R I use the following routine:

# I declare the panel
Produc <- pdata.frame(Produc, index = c("state","year"), drop.index = FALSE)
# run a two way fixed effect model
femodel <- plm(gsp~pcap+emp+unemp, data=Produc,effect = "twoway", 
               index = c("iso3c","year"), model="within")
# compute Driscoll and Kraay standard errors using vcovSCC
coeftest(femodel, vcovSCC(femodel))

pcap  -0.17699    0.25476 -0.6947   0.4874    
emp   40.61522    2.14610 18.9252   <2e-16 ***
unemp 23.59849   81.59730  0.2892   0.7725    

While point estimates are the same that in Stata, standard errors are different.

To check whether I am using the "wrong" small sample adjustment for standard errors, I also tryed running the coeftest with all available adjustments, but none yields the same values as xtscc.

library(purrr)
results <- map(c("HC0", "sss", "HC1", "HC2", "HC3", "HC4"),~coeftest(femodel, vcovSCC(femodel,type = .x)))
walk(results,print)
# none of the estimated standard errors is the same as xtscc

Does anyone know how I can replicate the results of Stata in R?