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plspm (version 0.5.1)

orange: Orange Juice dataset

Description

This data set contains the physico-chemical, sensory and hedonic measurements of 6 orange juices.

Arguments

Format

A data frame with 6 observations and 112 variables. The variables refer to three latent concepts: 1) PHYCHEM=Physico-Chemical, 2) SENSORY=Sensory, and 3) HEDONIC=Hedonic.

NumVariableDescriptionConcept
1glucoseGlucose (g/l)physico-chemical
2fructoseFructose (g/l)physico-chemical
3saccharoseSaccharose (g/l)physico-chemical
4sweet.powerSweetening power (g/l)physico-chemical
5ph1pH before processingphysico-chemical
6ph2pH after centrifugationphysico-chemical
7titreTitre (meq/l)physico-chemical
8citric.acidCitric acid (g/l)physico-chemical
9vitamin.cVitamin C (mg/100g)physico-chemical
10smell.intSmell intensitysensory
11odor.typiOdor typicitysensory
12pulpPulpsensory
13taste.intTaste intensitysensory
14acidityAciditysensory
15bitterBitternesssensory
16sweetSweetnesssensory
17judge1Ratings of judge 1hedonic
18judge2Ratings of judge 2hedonic
............
112judge96Ratings of judge 96hedonic

References

Tenenhaus, M., Pages, J., Ambroisine, L., and Guinot, C. (2005) PLS methodology to study relationships between hedonic jedgements and product characteristics. Food Quality and Preference, 16(4), pp. 315-325.

Pages, J., and Tenenhaus, M. (2001) Multiple factor analysis combined with PLS path modelling. Application to the analysis of relationships between physicochemical, sensory profiles and hedonic judgements. Chemometrics and Intelligent Laboratory Systems, 58, pp. 261-273.

Pages, J. (2004) Multiple Factor Analysis: Main Features and Application to Sensory Data. Revista Colombiana de Estadistica, 27, pp. 1-26.

Examples

Run this code
  data(orange)
  orange

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