TPrincipal

class TPrincipal : public TNamed

    protected:

      void MakeNormalised()
      void MakeRealCode(const char* filename, const char* prefix, Option_t* option)

    public:

                      TPrincipal(Int_t nVariables, Option_t* opt = "ND")
                      TPrincipal(const TPrincipal&)
                      TPrincipal()
              virtual ~TPrincipal()
         virtual void AddRow(const Double_t* x)
         virtual void Browse(TBrowser* b)
       static TClass* Class()
         virtual void Clear(Option_t* option)
      const TMatrixD* GetCovarianceMatrix() const
      const TVectorD* GetEigenValues() const
      const TMatrixD* GetEigenVectors() const
               TList* GetHistograms() const
      const TVectorD* GetMeanValues() const
      const Double_t* GetRow(Int_t row) const
      const TVectorD* GetSigmas() const
      const TVectorD* GetUserData() const
      virtual TClass* IsA() const
       virtual Bool_t IsFolder() const
         virtual void MakeCode(const char* filename = "pca", Option_t* option)
         virtual void MakeHistograms(const char* name = "pca", Option_t* option = "epsdx")
         virtual void MakeMethods(const char* classname = "PCA", Option_t* option)
         virtual void MakePrincipals()
         virtual void P2X(const Double_t* p, Double_t* x, Int_t nTest)
         virtual void Print(Option_t* opt = "MSE") const
         virtual void ShowMembers(TMemberInspector& insp, char* parent)
         virtual void Streamer(TBuffer& b)
                 void StreamerNVirtual(TBuffer& b)
         virtual void SumOfSquareResiduals(const Double_t* x, Double_t* s)
                 void Test(Option_t* option)
         virtual void X2P(const Double_t* x, Double_t* p)

Data Members

    protected:

         Int_t fNumberOfDataPoints  Number of data points
         Int_t fNumberOfVariables   Number of variables
      TVectorD fMeanValues          Mean value over all data points
      TVectorD fSigmas              vector of sigmas
      TMatrixD fCovarianceMatrix    Covariance matrix
      TMatrixD fEigenVectors        Eigenvector matrix of trans
      TVectorD fEigenValues         Eigenvalue vector of trans
      TVectorD fOffDiagonal         elements of the tridiagonal
      TVectorD fUserData            Vector of original data points 
      Double_t fTrace               Trace of covarience matrix 
        TList* fHistograms          List of histograms
        Bool_t fIsNormalised        Normalize matrix?
        Bool_t fStoreData           Should we store input data? 

Class Description