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https://support.sas.com/documentation/cdl/en/statug/63347/HTML/default/statug_princomp_sect004.htm
PROC PRINCOMP <options>; The PROC PRINCOMP statement starts the PRINCOMP procedure and optionally identifies input and output data sets, specifies the analyses performed, and controls displayed output. Table 70.1 summarizes the options.
https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/princomp_toc.htm
The PRINCOMP Procedure: The PRINCOMP Procedure. Overview: PRINCOMP Procedure; Getting Started: PRINCOMP Procedure
https://support.sas.com/documentation/onlinedoc/stat/141/princomp.pdf
Overview: PRINCOMP Procedure The PRINCOMP procedure performs principal component analysis. As input, you can use raw data, a correlation matrix, a covariance matrix, or a sum-of-squares-and-crossproducts (SSCP) matrix. You can create output data sets that contain eigenvalues, eigenvectors, and standardized or unstandardized principal component ...
https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/statug_princomp_sect002.htm
Getting Started: PRINCOMP Procedure. The following data provide crime rates per 100,000 people in seven categories for each of the 50 states in 1977. Since there are seven numeric variables, it is impossible to plot all the variables simultaneously.
http://support.sas.com/documentation/cdl/en/statug/68162/HTML/default/statug_princomp_syntax01.htm
The PROC PRINCOMP statement invokes the PRINCOMP procedure. Optionally, it also identifies input and output data sets, specifies the analyses that are performed, and controls displayed output. Table 91.1 summarizes the options available in the PROC PRINCOMP statement.
http://support.sas.com/documentation/cdl/en/statug/63347/HTML/default/statug_princomp_sect001.htm
You should use the PRINCOMP procedure if you are interested in summarizing data and detecting linear relationships. You can use principal components to reduce the number of variables in regression, clustering, and so on. See Chapter 9, Introduction to Multivariate Procedures, for a detailed comparison of the PRINCOMP and FACTOR procedures.
https://support.sas.com/documentation/onlinedoc/stat/141/hpprincomp.pdf
PROC PRINCOMP can accept ordinary SAS data sets and other types of special SAS data sets as input. The HPPRINCOMP procedure can accept only ordinary SAS data sets (raw data) as input. The HPPRINCOMP procedure does not support the PLOTS option that is available in PROC PRIN-COMP.
https://communities.sas.com/t5/Statistical-Procedures/proc-princomp/td-p/458434
Hi all, Is that true that when we use proc princomp, the variable prin1 in the output data must be from -1 to 1? I used several survey items (H1DS5 H1DS8 H1DS1 H1DS2 H1DS10) with exactly the same scale and I used proc princomp. I got SAS Output Eigenvalues of the Correlation Matrix Eigenvalue Di...
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