https://doi.org/10.1351/goldbook.10138
Linear classification in which the criterion function is obtained by partial least squares analysis.
Notes:
- PLS-DA can also be useful for exploratory data analysis.
- PLS-DA results depend on data pre-processing and choice of parameters and so is believed to be more difficult to implement well than other forms of discriminant analysis such as linear discriminant analysis, quadratic discriminant analysis or regularized discriminant analysis.