**XYOM ANALYZES, CLASSIFICATION **

**Input:**

A single file containing data which may be:

- Global size (one column matrix)
- DISTANCES (square matrix),
- Mahalanobis distances (i.e., Euclidean distances between …_DF.txt)
- Euclidean distances between …_PC.txt

- PRINCIPAL COMPONENTS (rectangular matrix)
- TABLE (rectangular matrix)
- matrix of traditional measurements, matrix of …_NEF,matrix of …_ORP, etc…)

**Analyses:**

- if input data are labelled as
**TABLE****PCA****(Principal Component Analysis**)

- if input data are labelled as
**PC****DA**(**Discriminant analysis**), a DA always assumes the entry data are PC; it cuts the sequence of PC to the number of individuals in the smallest group, minus one.- Validated classification based on
**Maximum likelihood method**(**CCCMLi**) - Validated classification based on
**Mahalanobis distance method**(**CCCMaha**) **HC****BOOTSTRAP**(**hierarchical clustering**): single linkage algorithm, bootstraps of input data and resulting trees (See Couette et al,…). No graphical output.

- if input data are labelled as
**DISTANCES (Mahalanobis, Euclidean)****HC**(**hierarchical clustering**): single linkage algorithm with**graphical output.**

- if input data are labelled as
**Global size**- Validated classification based on
**Maximum likelihood method**(**CCCMLi**) **Oneway ANOVA**Parametric ANOVA output, and non-parametric estimation of statistical significance.

- Validated classification based on

**Output:**

- Report:
- HC:
**Newick**format with**bootstrap if input are PC.** - Validated classification: scores of correct assignments

- HC:
- Graphic :
- HC:
**Tree**. Single linkage dendrogram**if input are DISTANCES**, - PCA, DA:
**factor map**of first two multivariate factors - Oneway ANOVA:
**quantile boxes**

- HC: