Reshaped Sequential Replacement toolbox for MATLAB



What Reshaped Sequential Replacement toolbox for MATLAB is?

The Reshaped Sequential Replacement toolbox for MATLAB is a collection of MATLAB modules for carrying out variable selection based on the Reshaped Sequential Replacement (RSR) algorithm. The RSR algorithm can be used both in regression and classification. The implemented methods are:
Regression:
  • Ordinary Least Squares - OLS (also known as Multiple Linear Regression - MLR)
  • Principal Components Regression - PCR

  • Classification:
  • K Nearest Neighbours - kNN


  • This is version 1.0 of the Reshaped Sequential Replacement toolbox for MATLAB

    Reshaped Sequential Replacement toolbox for MATLAB has been released by Milano Chemometrics and QSAR research Group

    [-> top]


    Installing the toolbox

    MATLAB should be installed. In order to install the toolbox, simply copy the files to a folder (e.g. "Reshaped Sequential Replacement toolbox for MATLAB"). Then, in order to use it, select the same folder as MATLAB current directory.

    [-> top]


    Help structure

    This html help provides some underlying information on the Reshaped Sequential Replacement method (see Theory section). For more detailed information about the theory, please see:
    • Cassotti, M., Grisoni, F., Todeschini,R. (2014). Reshaped Sequential Replacement: an efficient approach to variable selection. Chemometrics and Intelligent Laboratory Systems.
      doi: 10.1016/j.chemolab.2014.01.011

    For more information about similarities/differences with other variable selection methods, please see:
    • Grisoni, F., Cassotti, M., Todeschini,R. (2014). Reshaped Sequential Replacement for variable selection in QSPR: comparison with other reference methods. Journal of Chemometrics.
    A complete list of all the used MATLAB routines is given. An example of analysis is shown. Please, read also the license and write us if you find bugs or have comments.

    [-> top]