PCLDC Linear classifier using PC expansion on the joint data.
W = PCLDC(A,N)
DescriptionFinds the linear discriminant function W for the dataset A computing the LDC on a projection of the data on the first N eigenvectors of the total dataset (Principle Component Analysis). When ALF is supplied the number of eigenvalues is chosen such that at least a part ALF of the total variance is explained. If N (ALF) is NaN it is optimised by REGOPTC. See alsomappings, datasets, klldc, klm, fisherm, regoptc,
