Package check result: ERROR

Check: CRAN incoming feasibility, Result: NOTE
  Maintainer: ‘Ridson Al Farizal P <ridsonalfarizal15@gmail.com>’
  
  New submission
  
  Package was archived on CRAN
  
  Possibly misspelled words in DESCRIPTION:
    Rao (11:511)
  
  CRAN repository db overrides:
    X-CRAN-Comment: Archived on 2025-12-17 as issues were not corrected
      in time

Check: examples, Result: ERROR
  Running examples in ‘sae.projection-Ex.R’ failed
  The error most likely occurred in:
  
  > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
  > ### Name: projection_xgboost
  > ### Title: Projection Estimator with XGBoost Algorithm
  > ### Aliases: projection_xgboost
  > 
  > ### ** Examples
  > 
  > ## No test: 
  > library(xgboost)
  > library(caret)
  Loading required package: lattice
  
  Attaching package: ‘caret’
  
  The following objects are masked from ‘package:yardstick’:
  
      precision, recall, sensitivity, specificity
  
  The following object is masked from ‘package:rsample’:
  
      calibration
  
  The following object is masked from ‘package:purrr’:
  
      lift
  
  > library(FSelector)
  > library(glmnet)
  Loading required package: Matrix
  
  Attaching package: ‘Matrix’
  
  The following objects are masked from ‘package:tidyr’:
  
      expand, pack, unpack
  
  Loaded glmnet 4.1-10
  > library(recipes)
  > 
  > Data_A <- df_svy_A
  > Data_B <- df_svy_B
  > 
  > hasil <- projection_xgboost(
  +                             target_col = "Y",
  +                             data_model = Data_A,
  +                             data_proj = Data_B,
  +                             id = "num",
  +                             STRATA = NULL,
  +                             domain1 = "province",
  +                             domain2 = "regency",
  +                             weight = "weight",
  +                             nfold = 3,
  +                             test_size = 0.2 ,
  +                             task_type = "classification",
  +                             corrected_bias = TRUE,
  +                             feature_selection = TRUE)
  
  Load data...
  
  Final Task Type: binary 
  
  Handling missing values in preprocessing...
  
  Performing feature selection...
  
  Applying SMOTE to balance classes...
  
  Preparing data for XGBoost...
  
  Performing hyperparameter tuning...
  Warning in throw_err_or_depr_msg("Parameter(s) have been removed from this function: ",  :
    Parameter(s) have been removed from this function: params. This warning will become an error in a future version.
  Warning in throw_err_or_depr_msg("Passed unrecognized parameters: ", paste(head(names_unrecognized),  :
    Passed unrecognized parameters: verbose. This warning will become an error in a future version.
  Warning in throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '",  :
    Parameter 'data' has been renamed to 'x'. This warning will become an error in a future version.
  Error in xgboost::xgboost(params = params, data = dtrain, nrounds = best_iteration,  : 
    argument "y" is missing, with no default
  Calls: projection_xgboost ... <Anonymous> -> process.y.margin.and.objective -> NROW
  Execution halted