glass: Glass dataset

In danno11/SMVCIR: Sliced Mean Variance Covariance Inverse Regression

Description

Glass dataset

Usage

data(glass)

Format

An object of class data.frame with 213 rows and 10 columns.

Source

UCI Machine Learning Repository

Type of glass: (class attribute)

– 1 building_windows_float_processed

– 2 building_windows_non_float_processed

– 3 vehicle_windows_float_processed

– 4 vehicle_windows_non_float_processed (none in this database)

– 5 containers

– 6 tableware

– 7 headlamps

Attributes used:

1. RI: refractive index

2. Na: Sodium (unit measurement: weight percent in corresponding oxide, as are attributes 4-10)

3. Mg: Magnesium

4. Al: Aluminum

5. Si: Silicon

6. K: Potassium

7. Ca: Calcium

8. Ba: Barium

9. Fe: Iron

Examples

data(glass)
table(glass$Type)
glass.smv<-smvcir(group = "Type", data = glass, test = TRUE)
summary(glass.smv)

plotcoords(glass.smv, dimensions = 1:3)

danno11/SMVCIR documentation built on May 14, 2019, 6:06 p.m.