This data set contains the physico-chemical, sensory and hedonic measurements of 6 orange juices.
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.
Num | Variable | Description | Concept |
1 | glucose | Glucose (g/l) | physico-chemical |
2 | fructose | Fructose (g/l) | physico-chemical |
3 | saccharose | Saccharose (g/l) | physico-chemical |
4 | sweet.power | Sweetening power (g/l) | physico-chemical |
5 | ph1 | pH before processing | physico-chemical |
6 | ph2 | pH after centrifugation | physico-chemical |
7 | titre | Titre (meq/l) | physico-chemical |
8 | citric.acid | Citric acid (g/l) | physico-chemical |
9 | vitamin.c | Vitamin C (mg/100g) | physico-chemical |
10 | smell.int | Smell intensity | sensory |
11 | odor.typi | Odor typicity | sensory |
12 | pulp | Pulp | sensory |
13 | taste.int | Taste intensity | sensory |
14 | acidity | Acidity | sensory |
15 | bitter | Bitterness | sensory |
16 | sweet | Sweetness | sensory |
17 | judge1 | Ratings of judge 1 | hedonic |
18 | judge2 | Ratings of judge 2 | hedonic |
... | ... | ... | ... |
112 | judge96 | Ratings of judge 96 | hedonic |
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.