… for Discriminant Analysis and Classification purposes covering various methods such as
descriptive,geometric, linear, quadratic, PLS, as well as qualitative discriminant analyses …

… Prior studies have reported error rates comparable if not better than other predictors such
as logistic regression, linear discriminant analysis, quadratic discriminant analysis (QDA), K-…

… We have checked with the plsDA function of the DiscriMiner package for R (Sanchez 2013)
that spurious groups also appear in PLS-DA (Partial Least Square Discriminant Analysis, see …

… The classification models applied were linear discriminant analysis with a selection of
variables by a stepwise algorithm (LDA/SW), partial least squares discriminant analysis (PLS-DA), …

… different growth media designs, we investigate trade-offs between CO 2 … Discriminant
analysis of the trial data returned both pot weight and water content as significant discriminating …

… The J–M distance analysis taking 91 pairs of genotypes showed that all the pairs were
separable. This result was further validated by quadratic discriminant analysis (QDA) with an …

… discriminant analysis approach based on decision tree learning from Sect. 4. Table 2
summarizes the particular instantiations for the discriminant analysis … set discriminant analysis, …

… Linear Discriminant Analysis (pLDA) equations, used for assignation of putative genotypes,
were obtained by processing raw individual concentrations with the DiscriMiner library, 23 …