PsyArXiv
metadata only
The orthoblique rotation for factor analysis
The gradient projection algorithm (GPA) is the most used tool to rotate factor models. However, GPA is currently limited to fully orthogonal or fully oblique solutions. Keeping structural zeros in selected positions of the factor correlation matrix after rotation is currently unavailable. This limit
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The orthoblique rotation for factor analysis#1460619
- Farness Preserving Non-Negative Matrix Factorization#322226
- Geometric Characterisation and Structured Trajectory Surrogates for Clinical Dataset Condensation#1296411
- Controllable Protein Design via Autoregressive Direct Coupling Analysis Conditioned on Principal Components#257828
- Scaffold Then Internalize: Representation Injection for Diffusion Transformers#1129885
Record · ID 1460576
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive