Tsqqmtx

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,:)';

See Also

datahat, pca, pcr, pls, tconcalc, tsqmtx