Bias correction bug? Code with example datasets is not functional->Error in if (class(x) != "matrix" & class(y) != "matrix") { : the condition has length > 1

[durutti]

I recently installed R 4.2 and reinstalled all the packages
I ran the example provided with biascorrection and I get the error

require(climate4R.datasets)

data("EOBS_Iberia_pr")
data("CORDEX_Iberia_pr")
y <- EOBS_Iberia_pr
x <- CORDEX_Iberia_pr
eqm1win <- biasCorrection(y = y, x = x,

•                       precipitation = TRUE,
  

•                       method = "eqm",
  

•                       extrapolation = "none",
  

•                       window = c(30, 15),
  

•                       wet.threshold = 0.1)
  

[2022-05-06 15:31:45] Trying to determine the time zone...
[2022-05-06 15:31:45] Time zone identified and set to GMT
See 'setGridDates.asPOSIXlt' to change the time zone
[2022-05-06 15:31:45] Trying to determine the time zone...
[2022-05-06 15:31:45] Time zone identified and set to GMT
See 'setGridDates.asPOSIXlt' to change the time zone
[2022-05-06 15:31:46] Trying to determine the time zone...
[2022-05-06 15:31:46] Time zone identified and set to GMT
See 'setGridDates.asPOSIXlt' to change the time zone
Error in if (class(x) != "matrix" & class(y) != "matrix") { :
the condition has length > 1

sessionInfo()
R version 4.2.0 (2022-04-22)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04.4 LTS

Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/liblapack.so.3

locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8
[4] LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=en_US.UTF-8 LC_ADDRESS=en_US.UTF-8
[10] LC_TELEPHONE=en_US.UTF-8 LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=en_US.UTF-8

attached base packages:
[1] stats graphics grDevices utils datasets methods base

other attached packages:
[1] climate4R.datasets_0.0.1 downscaleR_3.3.3 raster_3.5-15 sp_1.4-7
[5] gtools_3.9.2 fields_13.3 viridis_0.6.2 viridisLite_0.4.0
[9] spam_2.8-0 pracma_2.3.8 visualizeR_1.6.1 transformeR_2.1.4
[13] loadeR_1.7.2 climate4R.UDG_0.2.3 loadeR.java_1.1.1 rJava_1.0-6