Sentence examples for original variables from inspiring English sources

The vectors intersecting at the origin represent the original variables.

However, the new variables may include all or most of the original variables.

Thus, DR should be able to filter out the uninformative dimensions and recover the original variables.

When the original variables are skewed, too many points tend to be flagged as outlying.

In other words, each component of the representation is a linear combination of the original variables.

Keep all original variables and recode variables in the syntax to create public datasets, or sub-datasets.

These variables are linear combinations of the original variables.

PCA is designed to transform the original variables into new, uncorrelated variables (axes), called the principal components, which are linear combinations of the original variables.

These new variables are linear combinations of the original variables [42].

Table 1 Descriptive statistics for the original variables used in multilevel analysis.

PCA extracts the eigen values and eigenvectors from the covariance matrix of original variables.