REGM: A multivariate general linear hypothesis program for least squares analysis of multivariate data
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Summary
REGM, a multivariate general linear hypothesis program, has been designed for applications unsuited to these other programs, and will handle designs beyond the size limitations of other programs because of its economy of storage and the stability of numerical routines.
- Type
- article
- Published
- 1975-09-01
- Cited by
- 12
- References
- 10
- Access
- Open access
- OpenAlex
- https://openalex.org/W1970298497
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:119872580
Keywords
Design matrix, Multivariate statistics, Computer science, Multivariate analysis of variance, Missing data
References
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