Search found 3 matches
- Fri Aug 16, 2013 10:00 am
- Forum: General Information and Tips and Tricks
- Topic: PCA - Getting back to orginal data
- Replies: 6
- Views: 7624
Re: PCA - Getting back to orginal data
Tell EViews to retain only the first three components when you make the scores. See the docs for more details. Hi thanks for the reply The issue I am facing is after i created the matrix E with full eigenvectors / components, E^(-1)S did not produce the orignial data so I would imagine that doing E...
- Thu Aug 15, 2013 9:04 am
- Forum: General Information and Tips and Tricks
- Topic: PCA - Getting back to orginal data
- Replies: 6
- Views: 7624
Re: PCA - Getting back to orginal data
There's a make principal components scores proc off of a group. Hi Thanks for the reply. Did you mean I could create the scores? If so I have created the scores already. I am looking to going back to the original data using only PC 1 2 3 i.e. Let S = scores, E = eigenvector matrix, X = data I got S...
- Sun Aug 04, 2013 9:05 am
- Forum: General Information and Tips and Tricks
- Topic: PCA - Getting back to orginal data
- Replies: 6
- Views: 7624
PCA - Getting back to orginal data
Hi regarding PCA I hope to transform the scores back to original data format using the top 3 PCs I am quite new to the software (version 7) and am not aware that there is a function for this Instead I was hoping to multiply the scores by the inverse the eigenvector matrix but the answer didnt look q...
