Function oplsNipals

oplsNipals(
    data: any[] | Matrix,
    labels: any[] | Matrix,
    options?: { limit?: number; numberOSC?: number },
): object
Single OPLS (orthogonal projections to latent structures) NIPALS iteration. Computes the predictive and Y-orthogonal components and returns the data with the orthogonal variation filtered out.
Parameters
- data: any[] | Matrix
  matrix with features (X).
- labels: any[] | Matrix
  an array of labels (dependent variable Y).
- Optionaloptions: { limit?: number; numberOSC?: number } = {}
  an object with options.
  - Optionallimit?: number
    convergence threshold used to stop the iteration.
  - OptionalnumberOSC?: number
    maximum number of NIPALS iterations.
Returns object
the computed model with the following properties:
- filteredX: X with the orthogonal component removed.
- weightsXOrtho: Y-orthogonal weights of X.
- loadingsXOrtho: Y-orthogonal loadings of X.
- scoresXOrtho: Y-orthogonal scores of X.
- weightsXPred: predictive weights of X.
- loadingsXpred: predictive loadings of X.
- scoresXpred: predictive scores of X.
- loadingsY: loadings of Y.
- Defined in oplsNipals.js:22