Each row in this table represents a class of oil described by four variables interval quantitives : 'specific gravity', 'freezing points', 'iodine value', 'saponification' The four successive pairs of columns contain the five symbolic interval variables. Each pair consists of a min and a max.

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A data frame with 8 observations on the following 8 variables.

`GRA.MIN`

a numeric vector, minimum of specific gravity

`GRA.MAX`

a numeric vector, maximum of specific gravity

`FRE.MIN`

a numeric vector, minimum of freezing points

`FRE.MAX`

a numeric vector, maximum of freezing points

`IOD.MIN`

a numeric vector, minimum of iodine value

`IOD.MAX`

a numeric vector, maximum of iodine value

`SAP.MIN`

a numeric vector, minimum of saponification

`SAP.MAX`

a numeric vector, maximum saponification

Cazes P., Chouakria A., Diday E. et Schektman Y. (1997). Extension de l'analyse en composantes principales a des donnees de type intervalle, Rev. Statistique Appliquee, Vol. XLV Num. 3 pag. 5-24, France.

Ichino M. (1994). Generalized Minkowski metrics for mixed featuretype data analysis. IEEE , transactions on systems, man and cybermetrics, vol.24, n 4.

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