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## 5.3.3 Methods II

In this menu all methods with multivariate input signals are grouped.

- DECOMPOSITIONS
  - PCA (KARHUNEN-LOEVE)

    see `signal/pca` (6.20.3.49)

  - ARCHETYPAL ANALYSIS

    see `signal/arch` (6.20.3.7)

- LYAPUNOV EXPONENTS
  - LARGEST

    see `signal/largelyap` (6.20.3.36)

- FRACTAL DIMENSIONS
  - BOX COUNTING APPROACH
    - CAPACITY DIMENSION D0

      see `signal/boxdim` (6.20.3.8)

    - INFORMATION DIMENSION D1

      see `signal/infodim` (6.20.3.31)

    - CORRELATION DIMENSION D2

      see `signal/corrdim` (6.20.3.11)

  - CORRELATION SUM APPROACH
    - CORRELATION SUM D2 (GPA LIKE APPROACH)

      see `signal/corrsum` (6.20.3.12)

    - CORRELATION DIMENSION D2 (FIXED NUMBER OF PAIRS)

      see `signal/corrsum2` (6.20.3.13)

    - TAKENS ESTIMATOR D2

      see `signal/takens_estimator` (6.20.3.77)

  - NEAREST NEIGHBOR ALGORITHMS
    - INFORMATION DIMENSION D1 (NNK)

      see `signal/infodim2` (6.20.3.32)

    - FRACTAL DIMENSION SPECTRUM

      see `signal/fracdims` (6.20.3.27)

- PERIODICITY
  - RETURN TIMES

    see `signal/return_time` (6.20.3.58)

  - RECIPROCAL LOCAL DENSITY

    see `signal/localdensity` (6.20.3.38)

- MODELING
  - POLYNOM SELECTION

    see `util/pauswahl`

- POINCARE SECTION

  see `signal/poincare` (6.20.3.52)

- PREDICTION
  - LOCAL CONSTANT

    see `signal/predict` (6.20.3.54)

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