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dop

calculates the eigenvectors for orthogonal projection with Dynamic Orthogonal Projection

Calling sequence

[ploads,ev_pcent] = dop(xi,yi,xo,yo,kernel_thresh,pca_thresh)

Arguments

xi,yi:

calibration dataset; a matrix (n x q) and a vector (n x 1) or Div structures

xo:

disturbed spectra; a matrix (no x q) or a Div structure

y0:

the reference values associated to the disturbed spectra; a vector (n0 x 1) or a Div structure

(kernel_thresh,pca_thresh):

thresholds to determine the size of the kernel and the number of eigenvectors respectively (by default=0.01)

ploads:

eigenvectors of the detrimental space of DOP

ploads.d is a matrix of dimensions (q x nfacteurs)

ev_pcent:

eigenvalues standardized such that their sum=1

Exemples

[p,eigval]=dop(x0,y0,xobs,[3.4;2.3;6.5])
[p,eigval]=dop(x0,y0,xobs,[3.4;2.3;6.5],0.05,0.05)

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