The spectrum data of the blend which is obtained from the plural points on the sample surface is offered the spectrum of the component and the spectrum analytical method of being disassembled to density. Repeating the component, it disassembles, new alternate smallest square multivariate curve disassembly technique is proposed. This technique, the early presumption that (the empty model ) from beginning, spectrum value of the 1st component of the sample is equal entirely, disassembles the 1st component. Next, the further component which continues repeating, early empty model presumption of these components and from the spectrum which was already disassembled, it is disassembled. The in general case where the main component during the said data setting exists in most pure shapes, this empty model technique gives the result which disassembles the component more accurately. This, is in order this technique, to possess the ability to be able to disassemble the pure spectrum of the minute component without modelling the density of the main component in the minute component.
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