Fatty acid concentrations of commercial oils were measured using gas chromatography. The data is used to predict the type of oil. Note that only the known oils are in the data set. Also, the authors state that there are 95 samples of known oils. However, we count 96 in Table 1 (pgs. 33-35).

Source

Brodnjak-Voncina et al. (2005). Multivariate data analysis in classification of vegetable oils characterized by the content of fatty acids, Chemometrics and Intelligent Laboratory Systems, Vol. 75:31-45.

oils

a tibble

Examples

data(oils)
str(oils)
#> tibble [96 × 8] (S3: tbl_df/tbl/data.frame)
#>  $palmitic : num [1:96] 9.7 11.1 11.5 10 12.2 9.8 10.5 10.5 11.5 10 ... #>$ stearic   : num [1:96] 5.2 5 5.2 4.8 5 4.2 5 5 5.2 4.8 ...
#>  $oleic : num [1:96] 31 32.9 35 30.4 31.1 43 31.8 31.8 35 30.4 ... #>$ linoleic  : num [1:96] 52.7 49.8 47.2 53.5 50.5 39.2 51.3 51.3 47.2 53.5 ...
#>  $linolenic : num [1:96] 0.4 0.3 0.2 0.3 0.3 2.4 0.4 0.4 0.2 0.3 ... #>$ eicosanoic: num [1:96] 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 0.4 ...
#>  $eicosenoic: num [1:96] 0.1 0.1 0.1 0.1 0.1 0.5 0.1 0.1 0.1 0.1 ... #>$ class     : Factor w/ 7 levels "corn","olive",..: 4 4 4 4 4 4 4 4 4 4 ...