1 |
Jee, J. H., Lee H. S., Lee, J. W., Suh, D. S., Kim, H. S., and Kim, K. O. (2008). Sensory characteristics and consumer liking of commercial sojues marketed in Korea, Korean Journal of Food Science and Technology, 40, 160-165.
|
2 |
Le, S. and Husson, F. (2008). SensoMineR: a package for sensory data analysis, Journal of Sensory Studies, 23, 14-25.
DOI
|
3 |
Le, S., Josse, J., and Husson, F. (2008). FactoMineR: an R package for multivariate analysis, Journal of Statistical Software, 25, 1-18.
|
4 |
Le, S. and Worch, T. (2014). Analyzing Sensory Data with R, CRC Press.
|
5 |
Lee, S. J. and Lee, K. G. (2008). Understanding consumer preferences for rice wines using sensory data, Journal of the Science of Food and Agriculture, 88, 690-698.
DOI
|
6 |
Lohmoller, J. B. (2013). Latent Variable Path Modeling with Partial Least Squares, Springer Science & Business Media.
|
7 |
Pages, J. (2014). Multiple Factor Analysis by Example using R, CRC Press.
|
8 |
Pages, J. and Tenenhaus, M. (2001). Multiple factor analysis combined with PLS path modelling. Application to the analysis of relationships between physicochemical variables, sensory profiles and hedonic judgements, Chemometrics and Intelligent Laboratory Systems, 58, 261-273.
DOI
|
9 |
Sanchez, G. and Trinchera, L. (2012). plspm: Partial Least Squares data analysis methods. R package version 0.2-2, URL http://CRAN.R-project. org/package=plspm.
|