1. User's Guide
  2. Build Models in Oracle Machine Learning for R
  3. Build Oracle Machine Learning for R Models
  4. About the longley Data Set for Examples

4.1.2 About the longley Data Set for Examples

Most of the linear regression and ore.neural examples use the longley data set, which is provided by R.

The longley data set is a small macroeconomic data set that provides a well-known example for collinear regression and consists of seven economic variables observed yearly over 16 years.

Example 4-1 Displaying Values from the longley Data Set

This example pushes the longley data set to a temporary database table that has the proxy ore.frame object longley_of displays the first six rows of longley_of. 

longley_of <- ore.push(longley)
head(longley_of)

Listing for This Example

R> longley_of <- ore.push(longley)
R> dim(longley_of)[1] 16  7
R> head(longley_of)
     GNP.deflator     GNP Unemployed Armed.Forces Population Year Employed
1947         83.0 234.289      235.6        159.0    107.608 1947   60.323
1948         88.5 259.426      232.5        145.6    108.632 1948   61.122
1949         88.2 258.054      368.2        161.6    109.773 1949   60.171
1950         89.5 284.599      335.1        165.0    110.929 1950   61.187
1951         96.2 328.975      209.9        309.9    112.075 1951   63.221
1952         98.1 346.999      193.2        359.4    113.270 1952   63.639

Parent topic: Build Oracle Machine Learning for R Models