ERROR: "attempt to set 'colnames' on an object with less than two dimensions"

[THccaa]

I ran into this error:

1] "1 species_1"
[1] "2 species_2"
N.grid cellSize.pp. Imoran.Grid.P Eucl.Grid.P Sd.Grid.P
14     14    0.3827586         0.215       0.669     0.157
N.grid cellSize.pp. Imoran.Grid.P Eucl.Grid.P Sd.Grid.P
4      4    0.1011494         0.246       0.679     0.013
Error in { : 
    task 1 failed - "attempt to set 'colnames' on an object with less than two dimensions"

When running traceback(), I get these results:

  5: stop(simpleError(msg, call = expr))
  4: e$fun(obj, substitute(ex), parent.frame(), e$data)
  3: foreach(s = 1:length(RecordsData), .packages = c("raster", "dismo", 
                                                      "rgdal"), .export = c("inv_bio", "inv_geo", "KM_BLOCK", "OptimRandomPoints")) %dopar% 
    {
      rgdal::setCPLConfigOption("GDAL_PAM_ENABLED", "FALSE")
      print(paste(s, SpNames[s]))
      presences <- RecordsData[[s]]
      mask2 <- mask
      mask2[] <- 0
      presences2 <- data.frame(pa = c(rep(1, nrow(presences))), 
                               presences)
      sp::coordinates(presences2) = presences2[, c("x", "y")]
      raster::crs(presences2) <- raster::projection(mask)
      DIM <- matrix(0, length(cellSize), 2)
      colnames(DIM) <- c("R", "C")
      DIM
      part <- data.frame(matrix(0, nrow(presences2@data), nrow(DIM)))
      part2 <- list()
      for (i in 1:length(cellSize)) {
        mask3 <- mask2
        res(mask3) <- cellSize[i]
        ...
   2: BlockPartition_TMLA(evnVariables = envT, RecordsData = occ_xy, 
                               N = 2, pseudoabsencesMethod = pseudoabs_method["method"], 
                               PrAbRatio = pres_abs_ratio, DirSave = DirB, DirM = DirM, 
                               MRst = sp_accessible_area["method"], type = TipoMoran, Geo_Buf = Geo_Buf, 
                               cores = cores)
   1: ENMTML(pred_dir = "./Predictions/", proj_dir = NULL, result_dir = "ENM_Results", 
                  occ_file = "Occurrences/occurences_SAH.txt", "Species", "Longitude", 
                  "Latitude", min_occ = 10, thin_occ = NULL, eval_occ = NULL, 
                  colin_var = c(method = "PEARSON", threshold = "0.7"), imp_var = TRUE, 
                  sp_accessible_area = c(method = "BUFFER", type = "1"), pseudoabs_method = c(method = "GEO_ENV_KM_CONST", 
                                                                                              width = "50"), pres_abs_ratio = 1, part = c(method = "BLOCK"), 
                  save_part = T, save_final = TRUE, algorithm = c("SVM", "RDF", 
                                                                  "MXD"), thr = c(type = "MAX_TSS"), msdm = NULL, ensemble = NULL, 
                  extrapolation = FALSE, cores = 2)

Unfortunately, that does not tell me anything. I do not understand which object is supposed to have more than two dimensions and, more importantly, why it doesn't have two or how to find it out.

I'd be glad to hear some ideas. Thanks