### Introduction

Flexible Discriminant Analysis is a classification model based on a mixture of linear regression models, which uses optimal scoring to transform the response variable so that the data are in a better form for linear separation, and multiple adaptive regression splines to generate the discriminant surface.

### Advantages

### Limitations

### Assumptions

### Requires absence data

Yes.

### Configuration options

BCCVL uses the ‘fda’ package, implemented in biomod2. The user can set the following configuration options: