Vote for your favorite mineral in #MinCup25! - Stibnite vs. Perovskite
It's all about how minerals interact with humans as dramatic #stibnite faces off against futuristic #perovskite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Haaland, David M., Thomas, Edward V. (1988) Partial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information. Analytical Chemistry, 60 (11). 1193-1202 doi:10.1021/ac00162a020

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitlePartial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information
JournalAnalytical Chemistry
AuthorsHaaland, David M.Author
Thomas, Edward V.Author
Year1988 (June)Volume60
Issue11
PublisherAmerican Chemical Society (ACS)
DOIdoi:10.1021/ac00162a020Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID6352200Long-form Identifiermindat:1:5:6352200:6
GUID0
Full ReferenceHaaland, David M., Thomas, Edward V. (1988) Partial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information. Analytical Chemistry, 60 (11). 1193-1202 doi:10.1021/ac00162a020
Plain TextHaaland, David M., Thomas, Edward V. (1988) Partial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information. Analytical Chemistry, 60 (11). 1193-1202 doi:10.1021/ac00162a020
In(1988, June) Analytical Chemistry Vol. 60 (11) American Chemical Society (ACS)

See Also

These are possibly similar items as determined by title/reference text matching only.

Haaland, David M., Thomas, Edward V. (1988) Partial least-squares methods for spectral analyses. 2. Application to simulated and glass spectral data. Analytical Chemistry, 60 (11). 1202-1208 doi:10.1021/ac00162a021
Thomas, Edward V., Haaland, David M. (1990) Comparison of multivariate calibration methods for quantitative spectral analysis. Analytical Chemistry, 62 (10). 1091-1099 doi:10.1021/ac00209a024
Haaland, David M, Melgaard, David K (2002) New augmented classical least squares methods for improved quantitative spectral analyses. Vibrational Spectroscopy, 29 (1) 171-175 doi:10.1016/s0924-2031(01)00199-0
Haaland, David M. (1988) Quantitative infrared analysis of borophosphosilicate films using multivariate statistical methods. Analytical Chemistry, 60 (11). 1208-1217 doi:10.1021/ac00162a022
Warner, I. M., Davidson, E. R., Christian, G. D. (1977) Quantitative analyses of multicomponent fluorescence data by the methods of least squares and non-negative least sum of errors. Analytical Chemistry, 49 (14). 2155-2159 doi:10.1021/ac50022a015
Phillips, Gregory R., Eyring, Edward M. (1988) Error estimation using the sequential simplex method in nonlinear least squares data analysis. Analytical Chemistry, 60 (8). 738-741 doi:10.1021/ac00159a002
Li, Lin (2008) Partial least squares methods for spectrally estimating lunar soil FeO abundance: A stratified approach to revealing nonlinear effect and qualitative interpretation. Journal of Geophysical Research, 113. doi:10.1029/2008je003213
Allegrini, Franco, Olivieri, Alejandro C. (2014) IUPAC-Consistent Approach to the Limit of Detection in Partial Least-Squares Calibration. Analytical Chemistry, 86 (15). 7858-7866 doi:10.1021/ac501786u
Thomas, Edward V. (2000) Adaptable Multivariate Calibration Models for Spectral Applications. Analytical Chemistry, 72 (13). 2821-2827 doi:10.1021/ac000009j
Smith, Mark R., Jee, Roger D., Moffat, Anthony C., Rees, David R., Broad, Neville W. (2003) Optimisation of partial least squares regression calibration models in near-infrared spectroscopy: a novel algorithm for wavelength selectionElectronic supplementary information (ESI) available: Figures of the effects of removing spectral windows on partial least squares regression. See http://www.rsc.org/suppdata/an/b3/b309233j/. The Analyst, 128 (11). 1312pp. doi:10.1039/b309233j
Chung, Hoeil, Cho, Soohwa, Toyoda, Yukihiro, Nakano, Kazushi, Maeda, Manabu (2006) Moment combined partial least squares (MC-PLS) as an improved quantitative calibration method: application to the analyses of petroleum and petrochemical products. The Analyst, 131 (5). 684pp. doi:10.1039/b515761g
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 18, 2025 00:02:51
Go to top of page