Review



partial least-squares (pls) toolbox software  (Eigenvector Research Inc)

 
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 90
      Buy from Supplier

    Structured Review

    Eigenvector Research Inc partial least-squares (pls) toolbox software
    Partial Least Squares (Pls) Toolbox Software, supplied by Eigenvector Research Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/partial+least-squares+(pls)+toolbox+software/partial+least+squares++pls++toolbox+software/10__1016_slash_j__jece__2024__113864-104-7-11
    Average 90 stars, based on 1 article reviews
    partial least-squares (pls) toolbox software - by Bioz Stars, 2026-10
    90/100 stars

    Images

    Related Articles

    other:

    Article Title: Development of an innovative technology using side stream vacuum evaporation for anaerobic digestion intensification and ammonia recovery
    Article Snippet: PARAFAC analysis was conducted using the partial least-squares (PLS) Toolbox software (Eigenvector Research Inc., Manson, WA, USA) according to Eq. (5) [55,56]: xijk = ∑R r=1 airbjrckr + eijk (5) where xijk represents the PARAFAC Model; a, b, and c are the modes related to sample scores, emission wavelengths, and excitation wavelengths, respectively; r is the component number, and R is the number of model components; i, j, and k are the sample number, the emission wavelength, and the excitation wavelength, respectively; and e is a residual term containing variation not explained by the model.

    Article Title: Fluorescence and Quenching Assessment (EEM-PARAFAC) of de Facto Potable Reuse in the Neuse River, North Carolina, United States.
    Article Snippet: The Neuse River, North Carolina, U.S., exemplifies a typical de facto potable reuse scenario, where drinking water sources are located downstream of treated wastewater effluent discharges.. The study results imply that planned potable water reuse, whether in an indirect or direct potable reuse scenario, might provide better control over water quality than the status quo conditions.. Using fluorescence excitation−emission matrix (EEM) measurements, anthropogenic influence of a wastewater treatment plant (WWTP) discharge was observed in samples near the location of drinking water treatment plant (WTP) intakes, eight or more miles downstream of the WWTP, implying that anthropogenic compounds were not fully removed or degraded by natural processes in this reach of the river.

    Article Title: Development of a fluorescence EEM-PARAFAC model for potable water reuse monitoring: Implications for inter-component protein-fulvic-humic interactions.
    Article Snippet: PARAFAC analysis was conducted using the partial least-squares (PLS) Toolbox software (Eigenvector Research Inc., Manson, WA, USA) for use with MATLAB according to Eq. (1) (Ackovic et al., 2019; Kang et al., 2015; Smilde et al., 2004). xijk 1⁄4 ∑Rr1⁄41airbjrckr þ eijk (1) where xijk represents the PARAFAC Model; a, b, and c are the three modes related to samples, emission wavelengths, and excitation wavelengths, respectively; r is the component number, and R is the total number of components described by the model; i, j, and k are the individual sample number, the specific emission wavelength, and the specific excitation wavelength, respectively; and e is a residual term containing all the variation not explained by the model (Smilde et al., 2004).

    Article Title: Fluorescent EEM-PARAFAC considerations of Aldrich humic acid salt as an aquatic or terrestrial organic matter surrogate
    Article Snippet: PARAFAC analysis was conducted using the partial least-squares (PLS) Toolbox software (Eigenvector Research Inc., Manson, WA, USA) for use with MATLAB.

    Article Title: Application of a fluorescence EEM-PARAFAC model for direct and indirect potable water reuse monitoring: Multi-stage ozone-biofiltration without reverse osmosis at Gwinnett County, Georgia, USA.
    Article Snippet: PARAFAC analysis was conducted using the partial least-squares (PLS) Toolbox software (Eigenvector Research Inc., Manson, WA, USA) for use with MATLAB according to Eq. (1) (Acković et al., 2019; Kang et al., 2015; Smilde et al., 2004). xijk 1⁄4 ∑ R r1⁄41 airbjrckr þ eijk (1) where xijk represents the PARAFAC Model; a, b, and c are the three modes related to sample scores, emission loadings, and excitation loadings, respectively (Fig. 2); r is the component number, andR is the total number of components described by the model; i, j, and k are the individual sample number, the specific emissionwavelength, and the specific excitationwavelength, respectively; and e is a residual term containing all the variation not explained by the model (Smilde et al., 2004).



    Similar Products

    partial least-squares (pls) toolbox software  (Eigenvector Research Inc)
    90
    Eigenvector Research Inc partial least-squares (pls) toolbox software
    Partial Least Squares (Pls) Toolbox Software, supplied by Eigenvector Research Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/partial+least-squares+(pls)+toolbox+software/partial+least+squares++pls++toolbox+software/10__1016_slash_j__jece__2024__113864-104-7-11
    Average 90 stars, based on 1 article reviews
    partial least-squares (pls) toolbox software - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier

    Image Search Results