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pls command line package version 6.15  (MathWorks Inc)


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    MathWorks Inc pls command line package version 6.15
    Relationship between affect and memory. One latent variable (LV) emerged ( p < .01) in the <t>partial</t> <t>least</t> <t>squares</t> <t>(PLS)</t> analysis demonstrating an association between memory measures and overall emotions. Ratings of unpredictability and surprise contributed to the LV, which correlated with memory bias for both the scenes and the prelude, and with sensitivity ( d ′) and “confabulation” about the prelude (see main text)
    Pls Command Line Package Version 6.15, supplied by MathWorks 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/result/pls command line package version 6.15/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    pls command line package version 6.15 - by Bioz Stars, 2026-04
    90/100 stars

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    1) Product Images from "The underwood project: A virtual environment for eliciting ambiguous threat"

    Article Title: The underwood project: A virtual environment for eliciting ambiguous threat

    Journal: Behavior Research Methods

    doi: 10.3758/s13428-022-02002-3

    Relationship between affect and memory. One latent variable (LV) emerged ( p < .01) in the partial least squares (PLS) analysis demonstrating an association between memory measures and overall emotions. Ratings of unpredictability and surprise contributed to the LV, which correlated with memory bias for both the scenes and the prelude, and with sensitivity ( d ′) and “confabulation” about the prelude (see main text)
    Figure Legend Snippet: Relationship between affect and memory. One latent variable (LV) emerged ( p < .01) in the partial least squares (PLS) analysis demonstrating an association between memory measures and overall emotions. Ratings of unpredictability and surprise contributed to the LV, which correlated with memory bias for both the scenes and the prelude, and with sensitivity ( d ′) and “confabulation” about the prelude (see main text)

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    MathWorks Inc pls command line package version 6.15
    Relationship between affect and memory. One latent variable (LV) emerged ( p < .01) in the <t>partial</t> <t>least</t> <t>squares</t> <t>(PLS)</t> analysis demonstrating an association between memory measures and overall emotions. Ratings of unpredictability and surprise contributed to the LV, which correlated with memory bias for both the scenes and the prelude, and with sensitivity ( d ′) and “confabulation” about the prelude (see main text)
    Pls Command Line Package Version 6.15, supplied by MathWorks 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/result/pls command line package version 6.15/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    pls command line package version 6.15 - by Bioz Stars, 2026-04
    90/100 stars
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    Relationship between affect and memory. One latent variable (LV) emerged ( p < .01) in the partial least squares (PLS) analysis demonstrating an association between memory measures and overall emotions. Ratings of unpredictability and surprise contributed to the LV, which correlated with memory bias for both the scenes and the prelude, and with sensitivity ( d ′) and “confabulation” about the prelude (see main text)

    Journal: Behavior Research Methods

    Article Title: The underwood project: A virtual environment for eliciting ambiguous threat

    doi: 10.3758/s13428-022-02002-3

    Figure Lengend Snippet: Relationship between affect and memory. One latent variable (LV) emerged ( p < .01) in the partial least squares (PLS) analysis demonstrating an association between memory measures and overall emotions. Ratings of unpredictability and surprise contributed to the LV, which correlated with memory bias for both the scenes and the prelude, and with sensitivity ( d ′) and “confabulation” about the prelude (see main text)

    Article Snippet: For a partial least squares (PLS) analysis, we used the PLS command line package (Version 6.15, 2015) in MATLAB R2021a.

    Techniques: