DataQuan

<p>Set simulated of quantitative data on grades given to some sensory characteristics of coffees.</p>

data set

Package for multivariate analysis, having functions that perform simple correspondence analysis (CA) and multiple correspondence analysis (MCA), principal components analysis (PCA), canonical correlation analysis (CCA), factorial analysis (FA), multidimensional scaling (MDS), hierarchical and non-hierarchical cluster analysis, linear regression, multiple factor analysis (MFA) for quantitative, qualitative, frequency (MFACT) and mixed data, projection pursuit (PP), grant tour method and other useful functions for the multivariate analysis.

Paulo Cesar Ossani

MVar

Multivariate Analysis

DataQuan function

<p>Data set with 6 rows and 11 columns. Being 6 observations described by 11 variables: Coffee, Chocolate, Caramelised, Ripe, Sweet, Delicate, Nutty, Caramelised, Chocolate, Spicy, Caramelised.</p>

DataQuan: Quantitative data set

Description

Usage

Arguments

Format

Examples