Add to ORKGA common problem in statistics/chemometrics is to relate two data matrices (X and Y) to each other, with the purpose of either prediction or interpretation. Usually one is interested in understanding which directions in Y-space that can be predicted by which directions in X-space. Several methods exist for this, for instance PLS regression and canonical correlation. The present paper presents a new plot for visualising the relationship between X and Y. The plot can be used for any regression method
Paired, parallel, or profile plots showing the values of two variables may be constructed readily us...
ABSTRACT. In classification and regression tree (CART) analysis, the observations are successively p...
The interpretation of a principal component analysis can be complicated because the components are l...
<p>The scores plot generated from principal component analysis (PCA) of all the analytes (A) and the...
In multivariate graphics, correlations between variables are often approximated by the cosines of t...
Gower and Blasius (Quality and Quantity, 39, 2005) proposed the notion of multivariate predictabilit...
<p>Scatter plot matrix representation has been used to identify possible correlation between the dif...
<p>The near 45 degree line of correlating plot shows the acceptable correlation between predicted an...
<p>Plot showing the statistical output of principal component analysis (PCA).</p
The projection based multivariate data methods of principal component regression (PCR) and partial l...
In regression problems where the number of predictors greatly exceeds the number of observations, co...
The analysis of the association between the two dichotomous variables of a 2 × 2 table arises as an ...
Gower and Blasius (Quality and Quantity, 39, 2005) proposed the notion of multivariate predictabilit...
Anderson and Rubin and McDonald have proposed a correlation-preserving method of factor scores predi...
AbstractAnderson and Rubin and McDonald have proposed a correlation-preserving method of factor scor...
Paired, parallel, or profile plots showing the values of two variables may be constructed readily us...
ABSTRACT. In classification and regression tree (CART) analysis, the observations are successively p...
The interpretation of a principal component analysis can be complicated because the components are l...
<p>The scores plot generated from principal component analysis (PCA) of all the analytes (A) and the...
In multivariate graphics, correlations between variables are often approximated by the cosines of t...
Gower and Blasius (Quality and Quantity, 39, 2005) proposed the notion of multivariate predictabilit...
<p>Scatter plot matrix representation has been used to identify possible correlation between the dif...
<p>The near 45 degree line of correlating plot shows the acceptable correlation between predicted an...
<p>Plot showing the statistical output of principal component analysis (PCA).</p
The projection based multivariate data methods of principal component regression (PCR) and partial l...
In regression problems where the number of predictors greatly exceeds the number of observations, co...
The analysis of the association between the two dichotomous variables of a 2 × 2 table arises as an ...
Gower and Blasius (Quality and Quantity, 39, 2005) proposed the notion of multivariate predictabilit...
Anderson and Rubin and McDonald have proposed a correlation-preserving method of factor scores predi...
AbstractAnderson and Rubin and McDonald have proposed a correlation-preserving method of factor scor...
Paired, parallel, or profile plots showing the values of two variables may be constructed readily us...
ABSTRACT. In classification and regression tree (CART) analysis, the observations are successively p...
The interpretation of a principal component analysis can be complicated because the components are l...