Tsqqmtx
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Purpose
Calculates matrix for T^2+Q contributions for PCA and MPCA.
Synopsis
- [tsqqmat,tsqqs] = tsqqmtx(x,model,wt)
Description
Inputs
- x = data matrix [class double or dataset]
- model = PCA or MPCA model standard model struture (see PCA).
Optional Inputs
- wt = {sqrt((M-K-1)/(M-1))}, 0<=wt<=1 scalar weighting for contributions 0<wt<1 gives combined T^2 and Q statistics where M is the number of calibration samples and K is the number of PCs.
- wt = 1 gives T^2 and T^2 contributions
- wt = 0 gives standarized Q residuals
Outputs
- tsqqs = combined Hotelling's T^2 + Q residual
- tsqqmat = matrix of individual variable contributions such that
- tsqqs(i) = tsqqmat(i,:)*tsqqmat(i,:)';