Class PLS1

  • All Implemented Interfaces:
    Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, SizeOfHandler, TechnicalInformationHandler, Serializable, weka.core.CapabilitiesHandler, GenericPLSMatrixAccess

    public class PLS1
    extends AbstractSingleClassPLS
    Implementation of PLS1 algorithm.

    For more information see:

    Tormod Naes, Tomas Isaksson, Tom Fearn, Tony Davies (2002). A User Friendly Guide to Multivariate Calibration and Classification. NIR Publications.

    StatSoft, Inc.. Partial Least Squares (PLS).

    Bent Jorgensen, Yuri Goegebeur. Module 7: Partial least squares regression I.

        author = {Tormod Naes and Tomas Isaksson and Tom Fearn and Tony Davies},
        publisher = {NIR Publications},
        title = {A User Friendly Guide to Multivariate Calibration and Classification},
        year = {2002},
        ISBN = {0-9528666-2-5}
        author = {StatSoft, Inc.},
        booktitle = {Electronic Textbook StatSoft},
        title = {Partial Least Squares (PLS)},
        HTTP = {}
        author = {Bent Jorgensen and Yuri Goegebeur},
        booktitle = {ST02: Multivariate Data Analysis and Chemometrics},
        title = {Module 7: Partial least squares regression I},
        HTTP = {}

    Valid options are:

     -debug <value>
      If enabled, additional info may be output to the console.
      (default: false)
     -preprocessing <value>
      The type of preprocessing to perform.
      (default: CENTER)
     -C <value>
      The number of components to compute.
      (default: 20)
     -prediction <value>
      The type of prediction to perform.
      (default: NONE)
    FracPete (fracpete at waikato dot ac dot nz)
    See Also:
    Serialized Form
    • Field Detail

      • m_r_hat

        protected weka.core.matrix.Matrix m_r_hat
        the regression vector "r-hat"
      • m_P

        protected weka.core.matrix.Matrix m_P
        the P matrix
      • m_W

        protected weka.core.matrix.Matrix m_W
        the W matrix
      • m_b_hat

        protected weka.core.matrix.Matrix m_b_hat
        the b-hat vector
    • Constructor Detail

      • PLS1

        public PLS1()