Assertion: component | /r/HasProperty | column
Facets:
Source sentences:
text: To get the percent of variance in all the variables accounted for by each factor, add the sum of the squared factor loadings for that factor (column) and divide by the number of variables.
text: Factor scores (also called component scores in PCA): are the scores of each case (row) on each factor (column).
text: Varimax rotation is an orthogonal rotation of the factor axes to maximize the variance of the squared loadings of a factor (column) on all the variables (rows) in a factor matrix, which has the effect of differentiating the original variables by extracted factor.