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Multivariate methods were utilized in a screening design with several responses of a tablet formulation.
Multivariate methods were used for patterns recognition and the classification of samples.
The multivariate methods were used to optimize the voltammetric response of modified electrode for determination of Tr.
In the present study, conventional and multivariate methods were used to optimize conditions for direct determination of aluminum in soft drinks by electrothermal atomic absorption spectrometry.
All multivariate methods were performed using vascular plant species cover, but NMS and MRPP also included general ground cover types (bare soil, debris, lichens and bryophytes) in the matrix.
Multivariate methods were used for statistical analysis.
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The validation of the multivariate methods was realized by analyzing their synthetic mixtures.
Here, we observe that the forecasting accuracy of the multivariate methods is relatively poor in the short runs.
The validation of the multivariate methods was realised by analysing the synthetic mixtures of hydrochlorothiazide and spironolactone.
Classically, factorial multivariate methods are the only tool for analyzing and modeling sensory data provided by experts, panelists or consumers.
The present paper demonstrates how NIR-CI in combination with multivariate methods was utilized to spatially map physical properties and content of roll compacted ribbons and tablets.
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