Changes in version 0.0.5 (2025-04-25)                  

  - Added linear model tree. Specifically, use parameter Xsplit as the
    splitting variable for ODT and fit a linear model for each split
    using the function "gmlnet". The corresponding parameter is
    split="linear".
  - Added the ensemble of ODT-based boosting trees，denoted by ODBT.
  - Changed the parameter "leafnode" to "type" in the function
    predict.ODT(), and for classification tasks, added category
    probability output.
  - Optimized some other known issues.

                 Changes in version 0.0.4 (2023-05-28)                  

  - Fixed function VarImp(), adding the method of measuring the
    importance of variables with node purity, and now VarImp() can be
    used for both class ODT and ODRF.
  - When the argument “Xcat ! = 0”, i.e., the category variable in
    predictor X is transformed to one-of-K encode. however for the
    argument “NodeRotateFun=‘RotMatRF’ (‘RotMatRand’)“ run error, we
    have now fixed it.
  - Added predicted values of training data for class ODT and ODRF.
  - Fixed issue related to function predict.ODRF() when argument
    "weight.tree = TRUE".
  - Optimized some other known issues.

                 Changes in version 0.0.3 (2023-03-16)                  

  - The function predicate.ODT() runs error when ODT is not split
    (depth=1), and we have fixed this bug.
  - We have fixed the function predict.ODRF() with arguments numOOB and
    weight.tree related issues.
  - We have fixed the functions plot.ODT(), VarImp() and plot.VarImp().
  - We have fixed the argument 'lambda' of the functions ODT() and
    ODRF().

                 Changes in version 0.0.2 (2023-02-28)                  

  - We have now explained CART and Random Forest in the description
    text.
  - We have changed the Date field to a more recent date.
  - We have now exported the functions RandRot() and defaults(), and no
    longer need ODRF:::
  - We have removed par from plot.VarImp() and added on.exit to
    plot.prune.ODT(), and checked the code to make sure that it does not
    change the user's options, including par or working directory.
  - We have removed the random seed number in functions ODRF(),
    poune.ODRF(), online.ODRF() and plot_ODT_depth().

                        Changes in version 0.0.1                        

  - Added a NEWS.md file to track changes to the package.
  - This is the first fully-functioning version of the package. It
    currently has no ERRORs, WARNINGs, or NOTEs from devtools::check().