What does it mean to have a high/low value for a sample in the 1st principal component?
8333
Does the sign of scores or of loadings in PCA or FA have a meaning? May I reverse the sign?
15529
How to interpret p-values of 0 or 1?
74282
Can I use PCA (or should I use regression) for testing the effect of multiple variables on one dependent variable?
125697
How to determine significant principal components using bootstrapping or Monte Carlo approach?
17620
Why the principal value of complex number argument is taken within $(-\pi,\pi]?$
55847
PCA demeaning the data
69386
What's the relationship between initial eigenvalues and sums of squared loadings in factor analysis?
24814
Is PCA still done via the eigendecomposition of the covariance matrix when dimensionality is larger than the number of observations?
52047
How can top principal components retain the predictive power on a dependent variable (or even lead to better predictions)?
101622
Choosing number of principal components to retain
24423
What is the difference between "singular value" and "eigenvalue"?
43393
Interpretation of p-value in hypothesis testing
86337
What is the intuition behind exchangeable samples under the null hypothesis?
21224
Applying PCA to data that fail a normality test
103877
The advantages and disadvantages of using Kaiser Rule to select the number of principal components
116179
Is principal component regression (PCR) using principal component scores for regression?
70917
What's the difference between principal component analysis and multidimensional scaling?