{"package":"r-snpls","ecosystem":"conda","latest_version":"1.0.27","description":"Tools for performing variable selection in three-way data using N-PLS in combination with L1 penalization, Selectivity Ratio and VIP scores. The N-PLS model (Rasmus Bro, 1996 ) is the natural extension of PLS (Partial Least Squares) to N-way structures, and tries to maximize the covariance between X and Y data arrays. The package also adds variable selection through L1 penalization, Selectivity Ratio and VIP scores.","license":"GPL-2.0-or-later","license_risk":"unknown","commercial_use_notes":"verify manually — license not parseable / not declared.","homepage":"https://CRAN.R-project.org/package=sNPLS","repository":"","downloads_weekly":174,"health":{"score":52,"risk":"high","breakdown":{"maintenance":10,"popularity":3,"security":25,"maturity":12,"community":2},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"1.0.27","total_count":2,"recent":["0.3.31","1.0.27"]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2020-12-17 08:30:59.506000+00:00","last_published":"2025-09-22 00:03:51.887000+00:00","dependencies_count":0,"dependencies":[]},"github_stats":null,"bundle":null,"typescript":null,"known_issues":{"bugs_count":0,"bugs_severity":{},"status_breakdown":{},"link":null,"scope":"none"},"historical_compromise":null,"recommendation":{"action":"use_with_caution","issues":["Moderate health score (52/100) — verify manually"],"use_version":"1.0.27","version_hint":null,"summary":"r-snpls@1.0.27 low health (52/100) — consider alternatives"},"version_scoped":null,"requested_version":null,"_cache":"hit","_response_ms":0,"_powered_by":"depscope.dev — free package intelligence for AI agents","typosquat":{"is_suspected":false},"maintainer_trust":{"available":false},"malicious":{"is_malicious":false},"scorecard":{"available":false},"quality":{"available":false},"version_history_summary":{"total_versions":2,"first_release_age_days":1962,"last_release_days_ago":222,"avg_days_between_releases":1962,"release_velocity":"moderate"}}